Visualizing the medical data explosion - Anders Ynnerman
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I<00:00:16.199> will<00:00:16.760> start<00:00:17.160> by<00:00:17.560> posing<00:00:17.920> a<00:00:18.039> little<00:00:18.199> bit<00:00:18.320> of<00:00:18.439> a
I will start by posing a little bit of a
I will start by posing a little bit of a
challenge<00:00:19.439> uh<00:00:19.560> the<00:00:19.720> challenge<00:00:20.320> of<00:00:20.560> dealing
challenge uh the challenge of dealing
challenge uh the challenge of dealing
with<00:00:21.519> data<00:00:22.519> uh<00:00:22.680> data<00:00:23.000> that<00:00:23.119> we<00:00:23.279> have<00:00:23.439> to<00:00:23.599> deal
with data uh data that we have to deal
with data uh data that we have to deal
with<00:00:24.279> in<00:00:24.560> in<00:00:24.720> medical<00:00:25.680> uh<00:00:26.000> situations<00:00:27.000> it's
with in in medical uh situations it's
with in in medical uh situations it's
really<00:00:27.560> um<00:00:27.920> a<00:00:28.039> huge<00:00:28.320> challenge<00:00:28.679> for<00:00:28.840> us<00:00:29.000> and
really um a huge challenge for us and
really um a huge challenge for us and
and<00:00:29.400> this<00:00:29.519> is<00:00:29.640> our<00:00:30.000> Le<00:00:30.199> the<00:00:30.359> burden<00:00:31.039> this<00:00:31.119> is<00:00:31.240> a
and this is our Le the burden this is a
and this is our Le the burden this is a
computer<00:00:31.920> tomography<00:00:32.680> uh<00:00:32.800> machine<00:00:33.640> a<00:00:33.760> CT
computer tomography uh machine a CT
computer tomography uh machine a CT
machine<00:00:34.879> it's<00:00:35.000> a<00:00:35.160> fantastic<00:00:35.640> device<00:00:36.000> it<00:00:36.160> uses
machine it's a fantastic device it uses
machine it's a fantastic device it uses
x-rays<00:00:37.600> uh<00:00:37.760> x-ray<00:00:38.200> beams<00:00:38.520> that<00:00:38.640> are<00:00:38.800> rotating
x-rays uh x-ray beams that are rotating
x-rays uh x-ray beams that are rotating
very<00:00:39.760> fast<00:00:40.200> around<00:00:40.559> the<00:00:40.680> human<00:00:41.000> body<00:00:41.640> it<00:00:41.760> takes
very fast around the human body it takes
very fast around the human body it takes
about<00:00:42.160> 30<00:00:42.399> seconds<00:00:42.719> to<00:00:42.840> go<00:00:43.000> through<00:00:43.160> the<00:00:43.280> whole
about 30 seconds to go through the whole
about 30 seconds to go through the whole
machine<00:00:44.200> and<00:00:44.360> it's<00:00:44.520> generating<00:00:45.039> enormous
machine and it's generating enormous
machine and it's generating enormous
amounts<00:00:45.840> of<00:00:46.079> of<00:00:46.280> information<00:00:46.719> that<00:00:46.879> comes<00:00:47.079> out
amounts of of information that comes out
amounts of of information that comes out
of<00:00:47.360> the<00:00:47.480> machine<00:00:48.239> so<00:00:48.800> this<00:00:48.920> is<00:00:49.039> a<00:00:49.320> fantastic
of the machine so this is a fantastic
of the machine so this is a fantastic
machine<00:00:50.120> that<00:00:50.239> we<00:00:50.360> can<00:00:50.640> use<00:00:50.960> for<00:00:51.520> uh<00:00:51.719> improving
machine that we can use for uh improving
machine that we can use for uh improving
healthare<00:00:53.280> uh<00:00:53.440> but<00:00:53.600> as<00:00:53.719> I<00:00:53.840> said<00:00:54.039> it's<00:00:54.239> also<00:00:54.559> a
healthare uh but as I said it's also a
healthare uh but as I said it's also a
challenge<00:00:55.079> for<00:00:55.280> us<00:00:56.120> uh<00:00:56.239> and<00:00:56.320> the<00:00:56.440> challenge<00:00:56.760> is
challenge for us uh and the challenge is
challenge for us uh and the challenge is
really<00:00:57.160> found<00:00:57.640> in<00:00:57.800> in<00:00:57.960> this<00:00:58.120> picture<00:00:58.480> here
really found in in this picture here
really found in in this picture here
it's<00:00:59.000> the<00:00:59.160> the<00:00:59.280> medical<00:00:59.680> dat<00:01:00.239> explosion<00:01:00.760> that
it's the the medical dat explosion that
it's the the medical dat explosion that
we're<00:01:01.039> having<00:01:01.359> right<00:01:01.559> now<00:01:02.239> uh<00:01:02.359> we're<00:01:02.559> facing
we're having right now uh we're facing
we're having right now uh we're facing
this<00:01:03.120> problem<00:01:03.879> uh<00:01:04.159> and<00:01:04.720> let<00:01:04.839> me<00:01:05.000> step<00:01:05.280> back<00:01:05.479> in
this problem uh and let me step back in
this problem uh and let me step back in
time<00:01:06.400> uh<00:01:06.520> let's<00:01:06.760> just<00:01:06.960> go<00:01:07.119> back<00:01:07.280> a<00:01:07.400> few<00:01:07.600> years
time uh let's just go back a few years
time uh let's just go back a few years
in<00:01:08.040> time<00:01:08.200> and<00:01:08.320> see<00:01:08.560> what<00:01:08.680> happened<00:01:09.040> back<00:01:09.240> then
in time and see what happened back then
in time and see what happened back then
uh<00:01:10.080> these<00:01:10.240> machines<00:01:10.720> that<00:01:10.920> came<00:01:11.080> out<00:01:11.280> they
uh these machines that came out they
uh these machines that came out they
started<00:01:11.640> coming<00:01:11.840> in<00:01:11.960> the<00:01:12.439> 1970s<00:01:13.439> uh<00:01:13.640> they
started coming in the 1970s uh they
started coming in the 1970s uh they
would<00:01:14.159> uh<00:01:14.280> scan<00:01:14.680> off<00:01:15.200> uh<00:01:15.320> human<00:01:15.600> bodies<00:01:16.040> and
would uh scan off uh human bodies and
would uh scan off uh human bodies and
they<00:01:16.280> would<00:01:16.479> generate<00:01:16.880> about<00:01:17.119> a<00:01:17.320> 100<00:01:17.720> images
they would generate about a 100 images
they would generate about a 100 images
of<00:01:18.720> the<00:01:18.840> human<00:01:19.119> body<00:01:19.720> I've<00:01:19.880> taken<00:01:20.119> the<00:01:20.320> Liberty
of the human body I've taken the Liberty
of the human body I've taken the Liberty
just<00:01:21.040> for<00:01:21.320> clarity<00:01:21.680> to<00:01:21.920> translate<00:01:22.520> that<00:01:22.720> to
just for clarity to translate that to
just for clarity to translate that to
data<00:01:23.280> sizes<00:01:24.280> uh<00:01:24.400> that<00:01:24.520> would<00:01:24.680> correspond<00:01:25.119> to
data sizes uh that would correspond to
data sizes uh that would correspond to
about<00:01:25.520> 50<00:01:25.920> megabytes<00:01:26.439> of<00:01:26.640> data<00:01:27.479> uh<00:01:27.600> which<00:01:27.720> is
about 50 megabytes of data uh which is
about 50 megabytes of data uh which is
small<00:01:28.759> uh<00:01:29.200> when<00:01:29.320> you<00:01:29.439> think<00:01:29.600> about<00:01:29.920> the<00:01:30.040> data
small uh when you think about the data
small uh when you think about the data
that<00:01:30.360> we<00:01:30.479> can<00:01:30.600> handle<00:01:30.920> today<00:01:31.360> just<00:01:31.520> on<00:01:31.759> on
that we can handle today just on on
that we can handle today just on on
normal<00:01:32.600> mobile<00:01:33.000> devices<00:01:33.960> if<00:01:34.079> you<00:01:34.240> translate
normal mobile devices if you translate
normal mobile devices if you translate
that<00:01:35.000> to<00:01:35.320> phone<00:01:35.600> books<00:01:36.000> it's<00:01:36.200> about<00:01:36.439> 1<00:01:36.640> meter
that to phone books it's about 1 meter
that to phone books it's about 1 meter
of<00:01:37.119> phone<00:01:37.360> books<00:01:37.600> in<00:01:37.720> the<00:01:38.000> pile<00:01:39.000> uh<00:01:39.119> looking<00:01:39.360> at
of phone books in the pile uh looking at
of phone books in the pile uh looking at
what<00:01:39.640> we're<00:01:39.759> doing<00:01:40.000> today<00:01:40.680> with<00:01:40.840> these
what we're doing today with these
what we're doing today with these
machines<00:01:41.479> that<00:01:41.640> we<00:01:41.799> have<00:01:42.640> uh<00:01:42.799> we<00:01:42.920> can<00:01:43.079> just<00:01:43.240> in
machines that we have uh we can just in
machines that we have uh we can just in
a<00:01:43.479> few<00:01:43.720> seconds<00:01:44.159> get<00:01:44.439> 24,000<00:01:45.439> images<00:01:45.960> out<00:01:46.119> of
a few seconds get 24,000 images out of
a few seconds get 24,000 images out of
the<00:01:46.399> body<00:01:47.119> and<00:01:47.240> that<00:01:47.320> will<00:01:47.520> correspond<00:01:48.000> to
the body and that will correspond to
the body and that will correspond to
about<00:01:48.479> 20<00:01:48.840> gabt<00:01:49.280> of<00:01:49.439> data<00:01:49.719> or<00:01:49.840> 800<00:01:50.360> phone<00:01:50.640> books
about 20 gabt of data or 800 phone books
about 20 gabt of data or 800 phone books
and<00:01:51.560> the<00:01:51.680> pile<00:01:51.960> would<00:01:52.079> then<00:01:52.240> be<00:01:52.520> 200<00:01:52.719> meters<00:01:52.960> of
and the pile would then be 200 meters of
and the pile would then be 200 meters of
phone<00:01:53.320> books<00:01:54.320> what's<00:01:54.640> about<00:01:54.920> to<00:01:55.119> happen<00:01:55.920> uh
phone books what's about to happen uh
phone books what's about to happen uh
and<00:01:56.159> we're<00:01:56.320> seeing<00:01:56.680> this<00:01:56.840> at<00:01:57.000> the<00:01:57.159> beginning<00:01:57.640> a
and we're seeing this at the beginning a
and we're seeing this at the beginning a
technology<00:01:58.399> Trend<00:01:58.680> that's<00:01:58.880> happening<00:01:59.240> right
technology Trend that's happening right
technology Trend that's happening right
now<00:01:59.520> is<00:01:59.600> that<00:01:59.960> starting<00:02:00.200> to<00:02:00.360> look<00:02:00.520> at<00:02:00.759> time
now is that starting to look at time
now is that starting to look at time
resolved<00:02:01.680> situations<00:02:02.280> as<00:02:02.439> well<00:02:02.920> so<00:02:03.079> we're
resolved situations as well so we're
resolved situations as well so we're
getting<00:02:03.520> the<00:02:03.680> Dynamics<00:02:04.320> out<00:02:04.479> of<00:02:04.640> the<00:02:04.759> body<00:02:05.079> as
getting the Dynamics out of the body as
getting the Dynamics out of the body as
well<00:02:05.799> and<00:02:06.000> just<00:02:06.240> assume<00:02:06.920> that<00:02:07.039> we<00:02:07.200> will<00:02:07.399> be
well and just assume that we will be
well and just assume that we will be
collecting<00:02:08.200> data<00:02:08.479> during<00:02:08.840> 5<00:02:09.200> Seconds<00:02:10.200> uh<00:02:10.319> and
collecting data during 5 Seconds uh and
collecting data during 5 Seconds uh and
that<00:02:10.520> will<00:02:10.679> correspond<00:02:11.080> to<00:02:11.200> about<00:02:11.360> one
that will correspond to about one
that will correspond to about one
terabyte<00:02:12.200> of<00:02:12.400> data<00:02:13.400> uh<00:02:13.680> that's<00:02:13.840> 800,000<00:02:14.720> books
terabyte of data uh that's 800,000 books
terabyte of data uh that's 800,000 books
and<00:02:15.160> 16<00:02:15.599> kilometers<00:02:16.080> of<00:02:16.200> phone<00:02:16.400> books<00:02:17.080> that's
and 16 kilometers of phone books that's
and 16 kilometers of phone books that's
one<00:02:17.599> patient<00:02:18.080> one<00:02:18.319> data<00:02:18.640> set<00:02:19.000> and<00:02:19.120> this<00:02:19.239> is
one patient one data set and this is
one patient one data set and this is
what<00:02:19.519> we<00:02:19.599> have<00:02:19.720> to<00:02:19.840> deal<00:02:20.400> with<00:02:21.400> so<00:02:21.599> this<00:02:21.680> is
what we have to deal with so this is
what we have to deal with so this is
really<00:02:22.120> the<00:02:22.360> enormous<00:02:22.879> challenge<00:02:23.239> that<00:02:23.360> we
really the enormous challenge that we
really the enormous challenge that we
have<00:02:23.879> already<00:02:24.120> today<00:02:24.440> this<00:02:24.519> is<00:02:24.680> 25,000<00:02:25.560> images
have already today this is 25,000 images
have already today this is 25,000 images
you<00:02:26.680> know<00:02:27.120> imagine<00:02:27.680> the<00:02:27.920> the<00:02:28.160> the<00:02:28.360> days<00:02:28.680> when
you know imagine the the the days when
you know imagine the the the days when
we<00:02:28.959> had<00:02:29.120> Radiologists<00:02:30.000> doing<00:02:30.480> this<00:02:31.480> they
we had Radiologists doing this they
we had Radiologists doing this they
would<00:02:31.720> put<00:02:31.879> up<00:02:32.040> 25,000<00:02:32.760> images<00:02:33.160> they<00:02:33.239> would<00:02:33.400> go
would put up 25,000 images they would go
would put up 25,000 images they would go
like<00:02:33.680> this<00:02:33.920> 25,000<00:02:34.920> okay<00:02:35.120> okay<00:02:35.360> okay<00:02:35.599> there
like this 25,000 okay okay okay there
like this 25,000 okay okay okay there
there<00:02:36.080> is<00:02:36.239> the<00:02:36.440> problem<00:02:36.800> right<00:02:37.280> they<00:02:37.440> can't<00:02:37.640> do
there is the problem right they can't do
there is the problem right they can't do
that<00:02:38.000> anymore<00:02:38.640> that's<00:02:38.840> impossible<00:02:39.360> so<00:02:39.480> we
that anymore that's impossible so we
that anymore that's impossible so we
have<00:02:39.680> to<00:02:39.800> do<00:02:39.920> something<00:02:40.200> that's<00:02:40.360> a<00:02:40.560> little<00:02:40.760> bit
have to do something that's a little bit
have to do something that's a little bit
more<00:02:41.080> intelligent<00:02:41.560> than<00:02:41.720> doing<00:02:42.040> this<00:02:42.800> okay<00:02:43.800> so
more intelligent than doing this okay so
more intelligent than doing this okay so
what<00:02:44.080> we<00:02:44.239> do<00:02:44.400> is<00:02:44.480> that<00:02:44.640> we<00:02:44.760> put<00:02:44.959> all<00:02:45.120> these
what we do is that we put all these
what we do is that we put all these
slices<00:02:45.879> together<00:02:46.239> imagine<00:02:46.560> that<00:02:46.640> you<00:02:46.800> slice
slices together imagine that you slice
slices together imagine that you slice
your<00:02:47.319> body<00:02:47.519> in<00:02:47.640> all<00:02:47.840> these<00:02:48.040> directions<00:02:48.879> and
your body in all these directions and
your body in all these directions and
then<00:02:49.120> you<00:02:49.280> try<00:02:49.480> to<00:02:49.680> put<00:02:49.840> the<00:02:50.000> slices<00:02:50.480> back
then you try to put the slices back
then you try to put the slices back
together<00:02:51.120> again<00:02:51.440> into<00:02:51.680> a<00:02:52.040> pile<00:02:52.280> of<00:02:52.480> data<00:02:52.800> into
together again into a pile of data into
together again into a pile of data into
a<00:02:53.080> block<00:02:53.319> of<00:02:53.480> data<00:02:54.120> so<00:02:54.319> this<00:02:54.400> is<00:02:54.560> really<00:02:54.760> what
a block of data so this is really what
a block of data so this is really what
we're<00:02:55.040> doing<00:02:55.280> so<00:02:55.519> this<00:02:55.800> gigabyte<00:02:56.280> or<00:02:56.480> terabyte
we're doing so this gigabyte or terabyte
we're doing so this gigabyte or terabyte
of<00:02:57.080> data<00:02:57.360> we're<00:02:57.480> putting<00:02:57.720> it<00:02:57.840> into<00:02:58.080> this<00:02:58.280> block
of data we're putting it into this block
of data we're putting it into this block
but<00:02:59.200> of<00:02:59.319> course<00:02:59.480> the<00:02:59.560> block<00:02:59.920> of<00:03:00.080> data<00:03:00.400> just
but of course the block of data just
but of course the block of data just
contains<00:03:01.400> the<00:03:01.560> amount<00:03:01.840> of<00:03:02.000> X-ray<00:03:02.560> that's<00:03:02.760> been
contains the amount of X-ray that's been
contains the amount of X-ray that's been
absorbed<00:03:03.400> in<00:03:03.560> each<00:03:03.760> point<00:03:04.000> in<00:03:04.120> the<00:03:04.239> human<00:03:04.519> body
absorbed in each point in the human body
absorbed in each point in the human body
so<00:03:05.440> what<00:03:05.519> we<00:03:05.640> need<00:03:05.760> to<00:03:05.920> do<00:03:06.080> is<00:03:06.159> to<00:03:06.319> figure<00:03:06.560> out<00:03:06.720> a
so what we need to do is to figure out a
so what we need to do is to figure out a
way<00:03:07.239> of<00:03:07.440> looking<00:03:07.840> at<00:03:08.040> the<00:03:08.200> things<00:03:08.440> that<00:03:08.519> we<00:03:08.640> do
way of looking at the things that we do
way of looking at the things that we do
want<00:03:08.920> to<00:03:09.080> look<00:03:09.239> at<00:03:09.799> and<00:03:09.959> make<00:03:10.200> things
want to look at and make things
want to look at and make things
transparent<00:03:11.120> that<00:03:11.239> we<00:03:11.360> don't<00:03:11.560> want<00:03:11.680> to<00:03:11.840> look
transparent that we don't want to look
transparent that we don't want to look
at<00:03:12.799> so<00:03:13.239> uh<00:03:13.360> transforming<00:03:13.920> the<00:03:14.120> data<00:03:14.400> set<00:03:14.840> into
at so uh transforming the data set into
at so uh transforming the data set into
something<00:03:15.360> that<00:03:15.480> looks<00:03:15.680> like<00:03:16.000> this<00:03:16.879> and<00:03:17.040> this
something that looks like this and this
something that looks like this and this
is<00:03:17.239> a<00:03:17.400> challenge<00:03:17.920> this<00:03:18.000> is<00:03:18.159> a<00:03:18.440> huge<00:03:18.840> challenge
is a challenge this is a huge challenge
is a challenge this is a huge challenge
for<00:03:19.360> us<00:03:19.480> to<00:03:19.640> do<00:03:19.879> that<00:03:20.680> uh<00:03:20.959> using<00:03:21.319> computers
for us to do that uh using computers
for us to do that uh using computers
even<00:03:22.000> though<00:03:22.159> they're<00:03:22.319> getting<00:03:22.640> faster<00:03:22.920> and
even though they're getting faster and
even though they're getting faster and
better<00:03:23.400> all<00:03:23.560> the<00:03:23.680> time<00:03:24.400> it's<00:03:24.519> a<00:03:24.720> challenge<00:03:25.120> to
better all the time it's a challenge to
better all the time it's a challenge to
deal<00:03:25.879> with<00:03:26.120> gigabytes<00:03:26.599> of<00:03:26.720> data<00:03:27.040> terabytes<00:03:27.519> of
deal with gigabytes of data terabytes of
deal with gigabytes of data terabytes of
data<00:03:28.640> uh<00:03:28.879> and<00:03:29.200> extract<00:03:29.599> it<00:03:30.120> uh<00:03:30.239> the<00:03:30.360> relevant
data uh and extract it uh the relevant
data uh and extract it uh the relevant
information<00:03:31.280> I<00:03:31.360> want<00:03:31.480> to<00:03:31.599> look<00:03:31.760> at<00:03:31.879> the<00:03:32.040> heart
information I want to look at the heart
information I want to look at the heart
I<00:03:32.360> want<00:03:32.480> to<00:03:32.599> look<00:03:32.720> at<00:03:32.799> the<00:03:32.920> blood<00:03:33.200> vessels<00:03:34.040> I
I want to look at the blood vessels I
I want to look at the blood vessels I
want<00:03:34.200> to<00:03:34.360> look<00:03:34.480> at<00:03:34.560> the<00:03:34.720> liver<00:03:35.120> maybe<00:03:35.319> even
want to look at the liver maybe even
want to look at the liver maybe even
finding<00:03:35.840> the<00:03:35.959> tumor<00:03:36.560> in<00:03:36.799> in<00:03:37.040> in<00:03:37.239> in<00:03:37.360> some<00:03:37.799> cases
finding the tumor in in in in some cases
finding the tumor in in in in some cases
okay<00:03:39.760> so<00:03:39.959> this<00:03:40.080> is<00:03:40.239> where<00:03:40.640> uh<00:03:40.799> this<00:03:40.920> little
okay so this is where uh this little
okay so this is where uh this little
dude<00:03:41.360> comes<00:03:41.599> into<00:03:41.840> play<00:03:42.040> this<00:03:42.159> is<00:03:42.280> my<00:03:42.760> daughter
dude comes into play this is my daughter
dude comes into play this is my daughter
this<00:03:43.879> is<00:03:44.360> as<00:03:44.519> of<00:03:44.720> 9:00<00:03:45.040> a.m.<00:03:45.400> this<00:03:45.519> morning<00:03:46.159> uh
this is as of 9:00 a.m. this morning uh
this is as of 9:00 a.m. this morning uh
she's<00:03:46.519> playing<00:03:46.760> a<00:03:46.879> computer<00:03:47.239> game<00:03:47.480> she's<00:03:47.680> only
she's playing a computer game she's only
she's playing a computer game she's only
two<00:03:48.080> years<00:03:48.400> old<00:03:49.400> U<00:03:49.519> and<00:03:49.640> she's<00:03:49.840> having<00:03:50.040> a<00:03:50.239> blast
two years old U and she's having a blast
two years old U and she's having a blast
um<00:03:52.239> so<00:03:52.599> she's<00:03:52.920> really<00:03:53.239> the<00:03:53.799> the<00:03:54.040> driving<00:03:54.519> force
um so she's really the the driving force
um so she's really the the driving force
behind<00:03:55.480> the<00:03:55.640> development<00:03:56.120> of<00:03:56.280> Graphics
behind the development of Graphics
behind the development of Graphics
processing
processing
processing
units<00:03:58.680> as<00:03:58.840> long<00:03:58.959> as<00:03:59.120> kids<00:03:59.319> are<00:03:59.519> playing
units as long as kids are playing
units as long as kids are playing
computer<00:04:00.120> games<00:04:00.519> Graphics<00:04:00.840> is<00:04:01.000> getting
computer games Graphics is getting
computer games Graphics is getting
better<00:04:01.599> and<00:04:01.799> better<00:04:02.040> and<00:04:02.200> better<00:04:02.480> so<00:04:02.720> please
better and better and better so please
better and better and better so please
go<00:04:03.200> back<00:04:03.360> home<00:04:03.799> tell<00:04:04.000> your<00:04:04.159> kids<00:04:04.319> to<00:04:04.480> play<00:04:04.680> more
go back home tell your kids to play more
go back home tell your kids to play more
games<00:04:05.360> because<00:04:05.599> that's<00:04:05.760> what<00:04:05.879> I<00:04:06.040> need<00:04:07.000> so
games because that's what I need so
games because that's what I need so
what's<00:04:07.439> inside<00:04:07.760> of<00:04:07.920> this<00:04:08.040> machine<00:04:08.560> is<00:04:08.760> what
what's inside of this machine is what
what's inside of this machine is what
enables<00:04:09.400> me<00:04:09.560> to<00:04:09.720> do<00:04:09.879> the<00:04:10.000> things<00:04:10.200> that<00:04:10.319> I'm
enables me to do the things that I'm
enables me to do the things that I'm
doing<00:04:10.760> with<00:04:10.879> the<00:04:11.000> medical<00:04:11.599> data<00:04:12.599> um<00:04:12.760> so<00:04:12.959> really
doing with the medical data um so really
doing with the medical data um so really
what<00:04:13.280> I'm<00:04:13.439> doing<00:04:13.920> is<00:04:14.159> using<00:04:14.560> these<00:04:14.799> fantastic
what I'm doing is using these fantastic
what I'm doing is using these fantastic
little<00:04:15.599> devices<00:04:16.160> and<00:04:16.280> you<00:04:16.400> know<00:04:16.639> going<00:04:16.959> back
little devices and you know going back
little devices and you know going back
maybe<00:04:18.400> um<00:04:18.799> 10<00:04:19.079> years<00:04:19.320> in<00:04:19.560> time<00:04:20.079> when<00:04:20.239> I<00:04:20.400> got<00:04:20.759> the
maybe um 10 years in time when I got the
maybe um 10 years in time when I got the
the<00:04:21.079> funding<00:04:21.519> to<00:04:21.720> buy<00:04:22.000> my<00:04:22.199> first<00:04:22.520> Graphics
the funding to buy my first Graphics
the funding to buy my first Graphics
computer<00:04:23.880> it<00:04:23.960> was<00:04:24.080> a<00:04:24.320> huge<00:04:24.680> machine<00:04:25.520> it<00:04:25.600> was
computer it was a huge machine it was
computer it was a huge machine it was
cabinets<00:04:26.440> of<00:04:26.680> processors<00:04:27.320> and<00:04:27.520> storage<00:04:27.960> and
cabinets of processors and storage and
cabinets of processors and storage and
everything<00:04:29.039> I<00:04:29.160> paid<00:04:29.400> about<00:04:29.680> $1<00:04:29.840> million<00:04:30.400> for
everything I paid about $1 million for
everything I paid about $1 million for
that
that
that
machine<00:04:32.240> um<00:04:32.560> that<00:04:32.720> machine<00:04:33.199> is<00:04:33.400> today<00:04:33.919> about
machine um that machine is today about
machine um that machine is today about
as<00:04:34.280> fast<00:04:34.520> as<00:04:34.639> my
as fast as my
as fast as my
iPhone<00:04:37.680> so<00:04:38.199> um<00:04:38.440> every<00:04:38.639> month<00:04:38.880> there<00:04:39.000> are<00:04:39.160> new
iPhone so um every month there are new
iPhone so um every month there are new
graphics<00:04:39.639> cards<00:04:39.960> coming<00:04:40.160> out<00:04:40.360> and<00:04:40.520> here's<00:04:40.840> a
graphics cards coming out and here's a
graphics cards coming out and here's a
few<00:04:41.160> of<00:04:41.240> the<00:04:41.360> latest<00:04:41.639> ones<00:04:41.919> from<00:04:42.240> from<00:04:42.400> the
few of the latest ones from from the
few of the latest ones from from the
vendors<00:04:42.880> and<00:04:43.479> Nvidia<00:04:44.000> ATI<00:04:44.520> Intel<00:04:44.880> is<00:04:45.000> out
vendors and Nvidia ATI Intel is out
vendors and Nvidia ATI Intel is out
there<00:04:45.360> as<00:04:45.440> well<00:04:46.120> and<00:04:46.240> you<00:04:46.360> know<00:04:46.560> for<00:04:46.720> a<00:04:46.800> few
there as well and you know for a few
there as well and you know for a few
hundred<00:04:47.240> bucks<00:04:47.520> you<00:04:47.600> can<00:04:47.840> get<00:04:48.000> get<00:04:48.199> these<00:04:48.680> uh
hundred bucks you can get get these uh
hundred bucks you can get get these uh
things<00:04:49.120> and<00:04:49.280> put<00:04:49.400> them<00:04:49.520> into<00:04:49.720> your<00:04:49.880> computer
things and put them into your computer
things and put them into your computer
and<00:04:50.280> you<00:04:50.360> can<00:04:50.479> do<00:04:50.680> fantastic<00:04:51.160> things<00:04:51.360> with
and you can do fantastic things with
and you can do fantastic things with
these<00:04:51.680> graphics<00:04:52.000> cards<00:04:52.720> so<00:04:52.880> this<00:04:53.000> is<00:04:53.199> really
these graphics cards so this is really
these graphics cards so this is really
what's<00:04:53.759> enabling<00:04:54.360> us<00:04:54.600> to<00:04:54.880> deal<00:04:55.479> with<00:04:55.639> the
what's enabling us to deal with the
what's enabling us to deal with the
explosion<00:04:56.440> of<00:04:56.720> data<00:04:57.039> in<00:04:57.320> medicine<00:04:58.320> together
explosion of data in medicine together
explosion of data in medicine together
with<00:04:58.919> some<00:04:59.120> really<00:04:59.320> Nifty<00:04:59.840> work<00:05:00.080> in<00:05:00.160> terms<00:05:00.400> of
with some really Nifty work in terms of
with some really Nifty work in terms of
algorithms<00:05:01.479> compressing<00:05:02.080> data<00:05:02.479> extracting
algorithms compressing data extracting
algorithms compressing data extracting
the<00:05:03.039> relevant<00:05:03.479> information<00:05:04.400> that<00:05:04.560> people<00:05:04.759> are
the relevant information that people are
the relevant information that people are
doing<00:05:05.120> research<00:05:05.479> on<00:05:06.199> so<00:05:07.080> uh<00:05:07.160> I'm<00:05:07.280> going<00:05:07.440> to
doing research on so uh I'm going to
doing research on so uh I'm going to
show<00:05:07.720> you<00:05:07.840> a<00:05:07.880> few<00:05:08.080> examples<00:05:08.400> of<00:05:08.520> what<00:05:08.600> we<00:05:08.720> can
show you a few examples of what we can
show you a few examples of what we can
do<00:05:09.840> uh<00:05:10.160> this<00:05:10.280> is<00:05:10.400> a<00:05:10.560> data<00:05:10.800> set<00:05:11.000> that<00:05:11.120> was
do uh this is a data set that was
do uh this is a data set that was
captured<00:05:11.639> using<00:05:11.840> a<00:05:11.960> CT<00:05:12.280> scanner<00:05:13.240> um<00:05:13.440> you<00:05:13.520> can
captured using a CT scanner um you can
captured using a CT scanner um you can
see<00:05:13.919> this<00:05:14.000> is<00:05:14.160> a<00:05:14.639> a<00:05:14.759> full<00:05:15.120> data<00:05:15.520> it's<00:05:15.880> um<00:05:16.400> it's<00:05:16.520> a
see this is a a full data it's um it's a
see this is a a full data it's um it's a
woman<00:05:17.560> uh<00:05:17.680> you<00:05:17.759> can<00:05:17.919> see<00:05:18.120> the<00:05:18.360> hair<00:05:18.759> you<00:05:18.880> can
woman uh you can see the hair you can
woman uh you can see the hair you can
see<00:05:19.319> the<00:05:19.479> individual<00:05:20.120> structures<00:05:20.880> of<00:05:21.000> the
see the individual structures of the
see the individual structures of the
woman<00:05:22.039> uh<00:05:22.160> you<00:05:22.240> can<00:05:22.400> see<00:05:22.600> that<00:05:22.759> there<00:05:22.880> is
woman uh you can see that there is
woman uh you can see that there is
scattering<00:05:23.600> of
scattering of
scattering of
x-rays<00:05:25.360> on<00:05:25.479> the<00:05:25.639> teeth<00:05:26.039> the<00:05:26.160> metal<00:05:26.479> in<00:05:26.600> the
x-rays on the teeth the metal in the
x-rays on the teeth the metal in the
teeth<00:05:27.120> that's<00:05:27.560> that's<00:05:27.759> where<00:05:27.960> those
teeth that's that's where those
teeth that's that's where those
artifacts<00:05:28.560> are<00:05:28.680> coming<00:05:28.919> from<00:05:29.479> but
artifacts are coming from but
artifacts are coming from but
um<00:05:30.840> fully<00:05:31.199> interactively<00:05:32.039> on<00:05:32.280> standard
um fully interactively on standard
um fully interactively on standard
graphics<00:05:33.120> cards<00:05:33.880> on<00:05:33.960> a<00:05:34.080> normal<00:05:34.360> computer<00:05:34.800> I
graphics cards on a normal computer I
graphics cards on a normal computer I
can<00:05:35.039> just<00:05:35.160> put<00:05:35.319> in<00:05:35.440> a<00:05:35.560> clip<00:05:35.800> plane<00:05:36.479> and<00:05:36.600> of
can just put in a clip plane and of
can just put in a clip plane and of
course<00:05:37.000> all<00:05:37.199> the<00:05:37.360> data<00:05:37.680> is<00:05:37.880> inside<00:05:38.639> so<00:05:38.800> I<00:05:38.880> can
course all the data is inside so I can
course all the data is inside so I can
start<00:05:39.280> rotating<00:05:39.880> I<00:05:39.960> can<00:05:40.120> look<00:05:40.280> at<00:05:40.400> it<00:05:40.520> from
start rotating I can look at it from
start rotating I can look at it from
different<00:05:41.199> angles<00:05:42.199> uh<00:05:42.319> and<00:05:42.440> I<00:05:42.520> can<00:05:42.639> see<00:05:42.880> that
different angles uh and I can see that
different angles uh and I can see that
this<00:05:43.160> woman<00:05:43.400> had<00:05:43.520> a<00:05:43.720> problem<00:05:44.199> uh<00:05:44.319> that<00:05:44.440> was<00:05:44.600> a
this woman had a problem uh that was a
this woman had a problem uh that was a
she<00:05:45.280> had<00:05:45.400> a<00:05:45.520> bleeding<00:05:45.919> up<00:05:46.080> in<00:05:46.160> the<00:05:46.319> brain<00:05:47.319> uh
she had a bleeding up in the brain uh
she had a bleeding up in the brain uh
that's<00:05:47.680> been<00:05:47.880> fixed<00:05:48.240> with<00:05:48.360> a<00:05:48.479> little<00:05:48.680> stent<00:05:49.080> a
that's been fixed with a little stent a
that's been fixed with a little stent a
metal<00:05:49.520> clamp<00:05:49.919> that's<00:05:50.120> tightening<00:05:50.479> up<00:05:50.639> the
metal clamp that's tightening up the
metal clamp that's tightening up the
vessel<00:05:51.600> and<00:05:51.759> just<00:05:51.919> by<00:05:52.080> changing<00:05:52.520> the
vessel and just by changing the
vessel and just by changing the
functions<00:05:53.039> and<00:05:53.240> I<00:05:53.319> can<00:05:53.479> decide<00:05:53.960> what's<00:05:54.160> going
functions and I can decide what's going
functions and I can decide what's going
to<00:05:54.440> be<00:05:54.800> transparent<00:05:55.800> uh<00:05:55.880> and<00:05:56.039> what's<00:05:56.280> going<00:05:56.400> to
to be transparent uh and what's going to
to be transparent uh and what's going to
be<00:05:56.720> visible<00:05:57.240> I<00:05:57.319> can<00:05:57.520> look<00:05:57.720> at<00:05:58.080> the<00:05:58.520> the<00:05:58.600> skull
be visible I can look at the the skull
be visible I can look at the the skull
structure<00:05:59.800> and<00:05:59.919> I<00:06:00.039> can<00:06:00.199> see<00:06:00.479> that<00:06:00.759> okay<00:06:00.960> this
structure and I can see that okay this
structure and I can see that okay this
is<00:06:01.160> where<00:06:01.319> they<00:06:01.440> open<00:06:01.680> up<00:06:01.800> the<00:06:01.880> scull<00:06:02.160> on<00:06:02.319> this
is where they open up the scull on this
is where they open up the scull on this
woman<00:06:02.960> and<00:06:03.080> that's<00:06:03.240> where<00:06:03.400> they<00:06:03.520> went<00:06:03.720> in<00:06:04.400> so
woman and that's where they went in so
woman and that's where they went in so
these<00:06:04.680> are<00:06:04.880> fantastic<00:06:05.319> images<00:06:05.680> they're
these are fantastic images they're
these are fantastic images they're
really<00:06:06.120> high<00:06:06.479> resolution<00:06:07.479> uh<00:06:07.720> and<00:06:07.840> they're
really high resolution uh and they're
really high resolution uh and they're
really<00:06:08.280> showing<00:06:08.759> us<00:06:09.280> uh<00:06:09.440> what<00:06:09.560> we<00:06:09.639> can<00:06:09.759> do<00:06:10.039> with
really showing us uh what we can do with
really showing us uh what we can do with
uh<00:06:10.919> with<00:06:11.080> standard<00:06:11.560> graphics<00:06:12.120> cards<00:06:12.960> today
uh with standard graphics cards today
uh with standard graphics cards today
now<00:06:14.479> um<00:06:14.880> we<00:06:15.000> have<00:06:15.160> really<00:06:15.400> made<00:06:15.680> use<00:06:15.880> of<00:06:16.039> this
now um we have really made use of this
now um we have really made use of this
and<00:06:16.319> we<00:06:16.440> have<00:06:16.560> tried<00:06:16.759> to<00:06:16.919> squeeze<00:06:17.360> a<00:06:17.479> lot<00:06:17.599> of
and we have tried to squeeze a lot of
and we have tried to squeeze a lot of
data<00:06:18.720> uh<00:06:19.080> into<00:06:19.360> the<00:06:19.560> system<00:06:20.440> and<00:06:20.759> one<00:06:20.919> of<00:06:21.039> the
data uh into the system and one of the
data uh into the system and one of the
applications<00:06:21.840> that<00:06:21.960> we've<00:06:22.120> been<00:06:22.240> working<00:06:22.520> on
applications that we've been working on
applications that we've been working on
and<00:06:22.840> this<00:06:23.000> has<00:06:23.199> gotten<00:06:23.400> a<00:06:23.479> little<00:06:23.680> bit<00:06:23.800> of
and this has gotten a little bit of
and this has gotten a little bit of
traction<00:06:24.319> worldwide<00:06:25.319> is<00:06:25.560> the<00:06:25.720> application<00:06:26.120> of
traction worldwide is the application of
traction worldwide is the application of
virtual<00:06:26.680> autopsies<00:06:27.680> so<00:06:28.000> again<00:06:28.240> looking<00:06:28.479> at
virtual autopsies so again looking at
virtual autopsies so again looking at
very<00:06:28.880> very<00:06:29.039> large<00:06:29.319> data<00:06:29.759> sets<00:06:29.919> and<00:06:30.039> you<00:06:30.160> saw
very very large data sets and you saw
very very large data sets and you saw
those<00:06:30.639> full<00:06:30.880> body<00:06:31.160> scans<00:06:31.599> that<00:06:31.720> we<00:06:31.840> can<00:06:32.000> do
those full body scans that we can do
those full body scans that we can do
we're<00:06:32.680> just<00:06:32.919> pushing<00:06:33.240> the<00:06:33.360> body<00:06:33.599> through<00:06:33.800> the
we're just pushing the body through the
we're just pushing the body through the
whole<00:06:34.080> CT<00:06:34.599> scanner<00:06:35.599> uh<00:06:35.759> and<00:06:35.919> just<00:06:36.039> in<00:06:36.160> a<00:06:36.280> few
whole CT scanner uh and just in a few
whole CT scanner uh and just in a few
seconds<00:06:36.840> we<00:06:36.919> can<00:06:37.080> get<00:06:37.160> a<00:06:37.280> full<00:06:37.560> body<00:06:37.800> data<00:06:38.080> set
seconds we can get a full body data set
seconds we can get a full body data set
so<00:06:39.000> so<00:06:39.199> this<00:06:39.280> is<00:06:39.400> from<00:06:39.520> a<00:06:39.639> virtual<00:06:40.080> autopsy<00:06:41.080> and
so so this is from a virtual autopsy and
so so this is from a virtual autopsy and
you<00:06:41.280> can<00:06:41.440> see<00:06:41.680> how<00:06:41.840> I'm<00:06:42.080> gradually<00:06:42.520> peeling
you can see how I'm gradually peeling
you can see how I'm gradually peeling
off<00:06:43.319> first<00:06:43.520> you<00:06:43.639> saw<00:06:43.880> the<00:06:44.000> body<00:06:44.280> bag<00:06:44.560> that<00:06:44.680> the
off first you saw the body bag that the
off first you saw the body bag that the
body<00:06:45.080> came<00:06:45.280> in<00:06:46.000> uh<00:06:46.120> that<00:06:46.240> I'm<00:06:46.360> peeling<00:06:46.639> off<00:06:46.840> the
body came in uh that I'm peeling off the
body came in uh that I'm peeling off the
skin<00:06:47.280> you<00:06:47.400> can<00:06:47.520> see<00:06:47.680> the<00:06:47.800> muscles<00:06:48.160> and
skin you can see the muscles and
skin you can see the muscles and
eventually<00:06:48.759> you<00:06:48.840> can<00:06:49.000> see<00:06:49.199> the<00:06:49.319> bone
eventually you can see the bone
eventually you can see the bone
structure<00:06:50.199> on<00:06:50.440> of<00:06:50.639> this<00:06:51.160> woman<00:06:52.160> now<00:06:52.639> at<00:06:52.759> this
structure on of this woman now at this
structure on of this woman now at this
point<00:06:53.080> I<00:06:53.160> would<00:06:53.319> also<00:06:53.560> like<00:06:53.680> to<00:06:53.840> emphasize
point I would also like to emphasize
point I would also like to emphasize
that<00:06:54.880> with<00:06:55.039> the<00:06:55.240> greatest<00:06:55.720> respect<00:06:56.520> for<00:06:56.759> the
that with the greatest respect for the
that with the greatest respect for the
people<00:06:57.240> that<00:06:57.360> I'm<00:06:57.479> now<00:06:57.680> going<00:06:57.840> to<00:06:58.000> show<00:06:58.360> I'm
people that I'm now going to show I'm
people that I'm now going to show I'm
going<00:06:58.560> to<00:06:58.680> show<00:06:58.840> you<00:06:58.919> a<00:06:59.000> few<00:06:59.199> cases<00:06:59.599> of<00:06:59.720> virtual
going to show you a few cases of virtual
going to show you a few cases of virtual
autopsies<00:07:01.000> so<00:07:01.160> it's<00:07:01.319> with<00:07:01.520> great<00:07:01.759> respect<00:07:02.039> for
autopsies so it's with great respect for
autopsies so it's with great respect for
the<00:07:02.360> people<00:07:02.680> that<00:07:02.840> have<00:07:03.160> died<00:07:03.800> under<00:07:04.120> violent
the people that have died under violent
the people that have died under violent
circumstances<00:07:05.080> that<00:07:05.199> I'm<00:07:05.319> showing<00:07:05.680> these
circumstances that I'm showing these
circumstances that I'm showing these
pictures<00:07:06.160> to
pictures to
pictures to
you<00:07:08.960> um<00:07:09.360> in<00:07:09.479> the<00:07:09.599> forensic<00:07:10.160> case<00:07:10.599> and<00:07:10.720> this<00:07:10.840> is
you um in the forensic case and this is
you um in the forensic case and this is
something<00:07:11.360> that<00:07:11.680> there's<00:07:11.919> been
something that there's been
something that there's been
approximately<00:07:12.960> 400<00:07:13.479> cases<00:07:13.840> so<00:07:14.080> far<00:07:14.840> just<00:07:15.000> in
approximately 400 cases so far just in
approximately 400 cases so far just in
the<00:07:15.479> part<00:07:15.680> of<00:07:15.759> Sweden<00:07:16.120> that<00:07:16.240> I<00:07:16.400> come<00:07:16.599> from<00:07:17.080> uh
the part of Sweden that I come from uh
the part of Sweden that I come from uh
that<00:07:17.360> has<00:07:17.479> been<00:07:17.680> undergoing<00:07:18.160> virtual
that has been undergoing virtual
that has been undergoing virtual
autopsies<00:07:18.960> in<00:07:19.120> the<00:07:19.240> past<00:07:19.440> four<00:07:19.800> years<00:07:20.800> so<00:07:21.240> uh
autopsies in the past four years so uh
autopsies in the past four years so uh
this<00:07:21.440> will<00:07:21.560> be<00:07:21.680> the<00:07:21.879> typical<00:07:22.400> workflow
this will be the typical workflow
this will be the typical workflow
situation<00:07:23.960> the<00:07:24.160> police<00:07:24.479> would<00:07:24.800> decide<00:07:25.639> in<00:07:25.800> the
situation the police would decide in the
situation the police would decide in the
evening<00:07:26.400> when<00:07:26.520> there's<00:07:26.720> a<00:07:26.840> case<00:07:27.080> coming<00:07:27.319> in
evening when there's a case coming in
evening when there's a case coming in
they<00:07:27.599> would<00:07:27.800> decide<00:07:28.240> okay<00:07:28.800> this<00:07:28.919> is<00:07:29.039> a<00:07:29.199> case
they would decide okay this is a case
they would decide okay this is a case
where<00:07:29.520> where<00:07:29.599> we<00:07:29.680> need<00:07:29.800> to<00:07:29.879> do<00:07:30.000> an<00:07:30.120> autopsy<00:07:30.759> so
where where we need to do an autopsy so
where where we need to do an autopsy so
in<00:07:31.080> the<00:07:31.199> morning<00:07:31.960> between<00:07:32.400> uh<00:07:32.520> 6:00<00:07:32.759> and<00:07:32.879> 700
in the morning between uh 6:00 and 700
in the morning between uh 6:00 and 700
in<00:07:33.280> the<00:07:33.360> morning<00:07:34.039> the<00:07:34.160> body<00:07:34.400> is<00:07:34.520> then
in the morning the body is then
in the morning the body is then
transported<00:07:35.400> inside<00:07:35.720> of<00:07:35.840> the<00:07:35.919> body<00:07:36.199> bag<00:07:36.479> to
transported inside of the body bag to
transported inside of the body bag to
our<00:07:36.800> Center<00:07:37.560> and<00:07:37.639> it's<00:07:37.800> being<00:07:38.039> scanned
our Center and it's being scanned
our Center and it's being scanned
through<00:07:38.680> one<00:07:38.759> of<00:07:38.879> the<00:07:38.960> CT<00:07:39.280> scanners<00:07:40.280> and<00:07:40.440> then
through one of the CT scanners and then
through one of the CT scanners and then
the<00:07:40.759> radiologist<00:07:41.479> together<00:07:41.680> with<00:07:41.759> the
the radiologist together with the
the radiologist together with the
pathologist<00:07:42.400> and<00:07:42.759> sometimes<00:07:43.000> the<00:07:43.120> forensic
pathologist and sometimes the forensic
pathologist and sometimes the forensic
scientist<00:07:44.120> looks<00:07:44.479> at<00:07:44.720> the<00:07:44.879> data<00:07:45.159> that's
scientist looks at the data that's
scientist looks at the data that's
coming<00:07:45.639> out<00:07:46.159> and<00:07:46.280> they<00:07:46.400> have<00:07:46.479> a<00:07:46.599> joint<00:07:46.879> session
coming out and they have a joint session
coming out and they have a joint session
and<00:07:47.360> then<00:07:47.520> they<00:07:47.720> decide<00:07:48.159> what<00:07:48.280> to<00:07:48.400> do<00:07:48.639> in<00:07:48.800> the
and then they decide what to do in the
and then they decide what to do in the
real<00:07:49.240> physical<00:07:49.639> autopsy<00:07:50.240> after
real physical autopsy after
real physical autopsy after
that<00:07:52.919> now<00:07:53.400> um<00:07:54.159> looking<00:07:54.440> at<00:07:54.560> a<00:07:54.680> few<00:07:54.879> cases
that now um looking at a few cases
that now um looking at a few cases
here's<00:07:55.440> one<00:07:55.560> of<00:07:55.680> the<00:07:55.800> first<00:07:56.039> cases<00:07:56.360> that<00:07:56.479> we
here's one of the first cases that we
here's one of the first cases that we
had<00:07:57.199> you<00:07:57.319> can<00:07:57.479> really<00:07:57.680> see<00:07:57.879> the<00:07:58.080> details<00:07:58.960> uh<00:07:59.159> of
had you can really see the details uh of
had you can really see the details uh of
of<00:07:59.599> the<00:07:59.720> data<00:07:59.960> set<00:08:00.120> it's<00:08:00.360> very<00:08:00.599> high
of the data set it's very high
of the data set it's very high
resolution<00:08:01.720> and<00:08:01.840> it's<00:08:02.000> our<00:08:02.240> algorithms<00:08:02.800> that
resolution and it's our algorithms that
resolution and it's our algorithms that
allow<00:08:03.240> us<00:08:03.360> to<00:08:03.520> zoom<00:08:03.879> in<00:08:04.120> on<00:08:04.280> all<00:08:04.440> the<00:08:04.879> details
allow us to zoom in on all the details
allow us to zoom in on all the details
uh<00:08:06.000> and<00:08:06.360> again<00:08:06.520> it's<00:08:06.680> fully<00:08:06.960> interactive<00:08:07.520> so
uh and again it's fully interactive so
uh and again it's fully interactive so
you<00:08:07.720> can<00:08:08.000> rotate<00:08:08.400> and<00:08:08.560> you<00:08:08.639> can<00:08:08.800> look<00:08:08.960> at
you can rotate and you can look at
you can rotate and you can look at
things<00:08:09.440> in<00:08:09.599> real<00:08:09.960> time<00:08:10.560> on<00:08:10.720> these<00:08:10.879> systems
things in real time on these systems
things in real time on these systems
here<00:08:11.960> without<00:08:12.199> saying<00:08:12.440> too<00:08:12.599> much<00:08:12.759> about<00:08:13.000> this
here without saying too much about this
here without saying too much about this
case<00:08:13.400> this<00:08:13.520> is<00:08:13.680> a<00:08:13.800> traffic<00:08:14.199> accident<00:08:14.879> and
case this is a traffic accident and
case this is a traffic accident and
drunk<00:08:15.759> driver<00:08:16.120> that<00:08:16.240> hit<00:08:16.440> a<00:08:16.639> woman<00:08:17.639> uh<00:08:17.759> and
drunk driver that hit a woman uh and
drunk driver that hit a woman uh and
it's<00:08:18.080> very<00:08:18.280> very<00:08:18.520> easy<00:08:18.800> to<00:08:18.919> see<00:08:19.120> the<00:08:19.240> damages
it's very very easy to see the damages
it's very very easy to see the damages
on<00:08:19.800> the<00:08:19.919> bone<00:08:20.159> structure<00:08:20.800> and<00:08:21.000> and<00:08:21.120> the<00:08:21.199> cause
on the bone structure and and the cause
on the bone structure and and the cause
of<00:08:21.599> death<00:08:21.800> is<00:08:21.919> the<00:08:22.039> broken<00:08:22.400> neck<00:08:23.319> and<00:08:23.759> this
of death is the broken neck and this
of death is the broken neck and this
woman<00:08:24.319> also<00:08:24.800> ended<00:08:25.039> up<00:08:25.199> under<00:08:25.440> the<00:08:25.560> car<00:08:25.919> so
woman also ended up under the car so
woman also ended up under the car so
she's<00:08:26.720> quite<00:08:26.960> badly<00:08:27.240> beaten<00:08:27.560> up<00:08:27.879> by<00:08:28.080> by<00:08:28.240> this
she's quite badly beaten up by by this
she's quite badly beaten up by by this
injury
injury
injury
here's<00:08:30.599> another<00:08:30.919> case<00:08:31.440> uh<00:08:31.800> a<00:08:31.919> knifing<00:08:32.440> and
here's another case uh a knifing and
here's another case uh a knifing and
this<00:08:32.719> is<00:08:32.959> also<00:08:33.279> again<00:08:33.519> showing<00:08:33.880> us<00:08:34.080> what<00:08:34.240> we
this is also again showing us what we
this is also again showing us what we
can<00:08:34.560> do<00:08:35.200> it's<00:08:35.399> very<00:08:35.640> easy<00:08:35.959> to<00:08:36.120> look<00:08:36.279> at<00:08:36.479> metal
can do it's very easy to look at metal
can do it's very easy to look at metal
artifacts<00:08:37.560> that<00:08:37.680> we<00:08:37.760> can<00:08:37.880> show<00:08:38.159> inside<00:08:38.440> of<00:08:38.560> the
artifacts that we can show inside of the
artifacts that we can show inside of the
body<00:08:39.680> uh<00:08:39.760> you<00:08:39.880> can<00:08:40.039> also<00:08:40.240> see<00:08:40.479> some<00:08:40.599> of<00:08:40.719> the<00:08:41.159> uh
body uh you can also see some of the uh
body uh you can also see some of the uh
some<00:08:41.640> of<00:08:41.760> the<00:08:41.880> artifacts<00:08:42.440> from<00:08:42.800> uh<00:08:42.919> from<00:08:43.039> the
some of the artifacts from uh from the
some of the artifacts from uh from the
teeth<00:08:43.519> that's<00:08:43.719> actually<00:08:43.919> the<00:08:44.000> filling<00:08:44.360> in<00:08:44.480> the
teeth that's actually the filling in the
teeth that's actually the filling in the
teeth<00:08:45.000> but<00:08:45.200> because<00:08:45.480> I've<00:08:45.640> set<00:08:45.839> the<00:08:45.959> functions
teeth but because I've set the functions
teeth but because I've set the functions
to<00:08:46.480> show<00:08:46.680> me<00:08:46.880> metal<00:08:47.519> and<00:08:47.680> make<00:08:47.959> everything
to show me metal and make everything
to show me metal and make everything
else<00:08:48.800> transparent<00:08:49.800> here's<00:08:50.040> another<00:08:50.279> violent
else transparent here's another violent
else transparent here's another violent
case<00:08:51.000> this<00:08:51.200> really<00:08:51.440> didn't<00:08:51.720> kill<00:08:51.959> the<00:08:52.120> person
case this really didn't kill the person
case this really didn't kill the person
the<00:08:52.560> person<00:08:52.800> was<00:08:53.000> killed<00:08:53.279> by<00:08:53.480> stabs<00:08:53.760> in<00:08:53.880> the
the person was killed by stabs in the
the person was killed by stabs in the
heart<00:08:54.640> but<00:08:54.839> they<00:08:55.000> just<00:08:55.200> deposited<00:08:55.680> the<00:08:55.839> knife
heart but they just deposited the knife
heart but they just deposited the knife
by<00:08:56.480> putting<00:08:56.720> it<00:08:56.839> through<00:08:57.040> one<00:08:57.160> of<00:08:57.279> the
by putting it through one of the
by putting it through one of the
eyeballs<00:08:59.440> here's<00:08:59.640> another<00:08:59.920> case<00:09:00.160> it's<00:09:00.360> very
eyeballs here's another case it's very
eyeballs here's another case it's very
very<00:09:01.120> interesting<00:09:01.560> for<00:09:01.720> us<00:09:01.880> to<00:09:02.040> be<00:09:02.160> able<00:09:02.399> to
very interesting for us to be able to
very interesting for us to be able to
look<00:09:02.800> at<00:09:03.040> things<00:09:03.320> like<00:09:03.519> knife<00:09:04.000> stabbings<00:09:05.000> uh
look at things like knife stabbings uh
look at things like knife stabbings uh
here<00:09:05.279> you<00:09:05.399> can<00:09:05.519> see<00:09:05.680> that<00:09:05.839> the<00:09:05.920> knife<00:09:06.160> went
here you can see that the knife went
here you can see that the knife went
through<00:09:06.519> the<00:09:06.680> heart<00:09:07.680> uh<00:09:07.800> it's<00:09:08.000> very<00:09:08.240> easy<00:09:08.519> to
through the heart uh it's very easy to
through the heart uh it's very easy to
see<00:09:08.839> how<00:09:09.040> air<00:09:09.360> has<00:09:09.519> been<00:09:09.680> leaking<00:09:10.200> from<00:09:10.440> one
see how air has been leaking from one
see how air has been leaking from one
part<00:09:10.800> to<00:09:10.959> another<00:09:11.200> part<00:09:11.440> which<00:09:11.519> is<00:09:11.920> difficult
part to another part which is difficult
part to another part which is difficult
to<00:09:12.240> do<00:09:12.480> in<00:09:12.600> a<00:09:12.760> normal<00:09:13.200> standard<00:09:13.880> physical
to do in a normal standard physical
to do in a normal standard physical
autopsy<00:09:15.040> so<00:09:15.320> really<00:09:15.560> really<00:09:15.800> helps<00:09:16.160> the<00:09:16.519> um<00:09:17.079> uh
autopsy so really really helps the um uh
autopsy so really really helps the um uh
the<00:09:17.279> criminal<00:09:17.680> investigation<00:09:18.360> to<00:09:18.600> establish
the criminal investigation to establish
the criminal investigation to establish
the<00:09:19.079> cause<00:09:19.320> of<00:09:19.560> death<00:09:20.279> and<00:09:20.399> in<00:09:20.560> some<00:09:20.760> cases
the cause of death and in some cases
the cause of death and in some cases
also<00:09:21.399> direct<00:09:21.760> the<00:09:21.920> investigation<00:09:22.480> in<00:09:22.600> the
also direct the investigation in the
also direct the investigation in the
right<00:09:22.959> direction<00:09:23.440> to<00:09:23.640> find<00:09:23.839> out<00:09:24.040> who<00:09:24.160> the
right direction to find out who the
right direction to find out who the
Killer<00:09:24.600> really<00:09:25.000> was<00:09:26.000> here's<00:09:26.480> another<00:09:26.760> case
Killer really was here's another case
Killer really was here's another case
that<00:09:27.040> I<00:09:27.160> think<00:09:27.279> is<00:09:27.440> interesting<00:09:28.000> here<00:09:28.240> we<00:09:28.440> you
that I think is interesting here we you
that I think is interesting here we you
can<00:09:28.680> see<00:09:28.880> a<00:09:29.040> bullet<00:09:29.519> that<00:09:29.680> has<00:09:29.839> lodged<00:09:30.360> just
can see a bullet that has lodged just
can see a bullet that has lodged just
next<00:09:30.760> to<00:09:30.920> the<00:09:31.120> spine<00:09:31.880> on<00:09:32.079> this<00:09:32.320> person<00:09:33.040> and
next to the spine on this person and
next to the spine on this person and
what<00:09:33.320> we've<00:09:33.480> done<00:09:33.680> is<00:09:33.800> that<00:09:33.959> we've<00:09:34.160> turned<00:09:34.560> the
what we've done is that we've turned the
what we've done is that we've turned the
bullet<00:09:35.079> into<00:09:35.279> a<00:09:35.399> light<00:09:35.640> source<00:09:36.120> so<00:09:36.399> the<00:09:36.560> the
bullet into a light source so the the
bullet into a light source so the the
bullet<00:09:36.959> is<00:09:37.120> actually<00:09:37.360> shining<00:09:38.120> and<00:09:38.240> it<00:09:38.360> makes
bullet is actually shining and it makes
bullet is actually shining and it makes
it<00:09:38.720> really<00:09:38.959> easy<00:09:39.240> to<00:09:39.399> find<00:09:39.600> these<00:09:39.800> fragments
it really easy to find these fragments
it really easy to find these fragments
during<00:09:40.880> a<00:09:41.040> physical<00:09:41.519> autopsy<00:09:42.160> if<00:09:42.279> you<00:09:42.399> have<00:09:42.480> to
during a physical autopsy if you have to
during a physical autopsy if you have to
dig<00:09:42.880> through<00:09:43.160> the<00:09:43.279> body<00:09:43.480> to<00:09:43.640> find<00:09:43.839> these
dig through the body to find these
dig through the body to find these
fragments<00:09:44.440> that's<00:09:44.640> actually<00:09:44.880> quite<00:09:45.079> hard<00:09:45.360> to
do<00:09:48.720> um<00:09:49.360> one<00:09:49.519> of<00:09:49.640> the<00:09:49.760> things<00:09:49.959> that<00:09:50.079> I'm<00:09:50.320> really
do um one of the things that I'm really
do um one of the things that I'm really
really<00:09:50.839> happy<00:09:51.399> uh<00:09:51.519> to<00:09:51.680> be<00:09:51.839> able<00:09:52.040> to<00:09:52.200> show<00:09:52.440> you
really happy uh to be able to show you
really happy uh to be able to show you
here<00:09:52.880> today<00:09:53.440> is<00:09:53.640> our<00:09:53.959> virtual<00:09:54.399> autopsy<00:09:54.920> table
here today is our virtual autopsy table
here today is our virtual autopsy table
it's<00:09:55.839> a<00:09:56.000> touch<00:09:56.360> device<00:09:56.760> that<00:09:56.880> we<00:09:57.000> have
it's a touch device that we have
it's a touch device that we have
developed<00:09:57.640> based<00:09:57.920> on<00:09:58.079> these<00:09:58.279> algorithms
developed based on these algorithms
developed based on these algorithms
using<00:09:59.480> standard<00:09:59.959> Graphics<00:10:00.360> gpus<00:10:01.360> it<00:10:01.519> actually
using standard Graphics gpus it actually
using standard Graphics gpus it actually
looks<00:10:02.040> like<00:10:02.279> this<00:10:02.680> uh<00:10:02.800> just<00:10:02.920> to<00:10:03.360> get<00:10:03.560> give<00:10:03.680> you
looks like this uh just to get give you
looks like this uh just to get give you
a<00:10:03.880> feeling<00:10:04.160> for<00:10:04.360> what<00:10:04.480> it<00:10:04.600> looks<00:10:04.839> like<00:10:05.440> it's
a feeling for what it looks like it's
a feeling for what it looks like it's
really<00:10:06.200> um<00:10:06.480> it<00:10:06.600> really<00:10:06.839> just<00:10:06.959> works<00:10:07.240> like<00:10:07.399> a
really um it really just works like a
really um it really just works like a
huge<00:10:08.079> iPhone<00:10:09.079> uh<00:10:09.200> so<00:10:09.440> we've<00:10:09.880> implemented<00:10:10.440> all
huge iPhone uh so we've implemented all
huge iPhone uh so we've implemented all
the<00:10:10.880> gestures<00:10:11.360> that<00:10:11.480> you<00:10:11.600> can<00:10:11.720> do<00:10:11.920> on<00:10:12.160> on<00:10:12.279> the
the gestures that you can do on on the
the gestures that you can do on on the
table<00:10:13.519> um<00:10:13.720> and<00:10:13.839> you<00:10:13.920> can<00:10:14.120> think<00:10:14.320> of<00:10:14.480> it<00:10:14.760> as<00:10:15.079> as
table um and you can think of it as as
table um and you can think of it as as
an<00:10:15.360> enormous<00:10:16.079> uh<00:10:16.240> touch<00:10:16.640> interface<00:10:17.240> so<00:10:17.800> if<00:10:17.920> you
an enormous uh touch interface so if you
an enormous uh touch interface so if you
were<00:10:18.160> thinking<00:10:18.399> of<00:10:18.640> buying<00:10:18.880> an<00:10:19.079> iPad<00:10:19.480> forget
were thinking of buying an iPad forget
were thinking of buying an iPad forget
about<00:10:19.959> it<00:10:20.160> this<00:10:20.279> is<00:10:20.440> what<00:10:20.560> you<00:10:20.680> want
about it this is what you want
about it this is what you want
instead<00:10:22.959> Steve<00:10:23.399> I<00:10:23.480> hope<00:10:23.600> you're<00:10:23.720> listening<00:10:24.000> to
instead Steve I hope you're listening to
instead Steve I hope you're listening to
this<00:10:24.560> right<00:10:25.560> right<00:10:26.120> okay<00:10:26.560> so<00:10:26.680> it's<00:10:27.040> it's<00:10:27.120> a
this right right okay so it's it's a
this right right okay so it's it's a
very<00:10:27.440> nice<00:10:27.600> little<00:10:27.880> device<00:10:28.360> uh<00:10:28.440> so<00:10:28.600> if<00:10:28.680> you
very nice little device uh so if you
very nice little device uh so if you
have<00:10:28.880> the<00:10:28.959> opportunity<00:10:29.640> please<00:10:30.000> uh<00:10:30.160> try<00:10:30.320> it
have the opportunity please uh try it
have the opportunity please uh try it
out<00:10:30.720> it's<00:10:31.000> it's<00:10:31.240> really<00:10:31.680> a<00:10:31.839> hands-on
out it's it's really a hands-on
out it's it's really a hands-on
experience<00:10:33.959> so<00:10:34.240> it<00:10:34.360> gains<00:10:34.600> some<00:10:34.800> traction<00:10:35.320> and
experience so it gains some traction and
experience so it gains some traction and
we're<00:10:35.600> trying<00:10:35.800> to<00:10:36.000> roll<00:10:36.279> this<00:10:36.399> out<00:10:36.600> and<00:10:36.720> trying
we're trying to roll this out and trying
we're trying to roll this out and trying
to<00:10:37.079> use<00:10:37.360> it<00:10:37.560> for<00:10:38.079> educational<00:10:38.680> purposes<00:10:39.240> but
to use it for educational purposes but
to use it for educational purposes but
also<00:10:39.720> perhaps<00:10:40.040> in<00:10:40.160> the<00:10:40.279> future<00:10:41.040> in<00:10:41.279> in<00:10:41.399> a<00:10:41.519> more
also perhaps in the future in in a more
also perhaps in the future in in a more
clinical<00:10:42.720> uh<00:10:42.920> situation<00:10:43.720> there's<00:10:43.880> a<00:10:44.040> YouTube
clinical uh situation there's a YouTube
clinical uh situation there's a YouTube
video<00:10:44.760> that<00:10:44.880> you<00:10:44.959> can<00:10:45.079> download<00:10:45.519> and<00:10:45.639> look<00:10:45.800> at
video that you can download and look at
video that you can download and look at
this<00:10:46.120> if<00:10:46.240> you<00:10:46.320> want<00:10:46.440> to<00:10:46.639> convey<00:10:47.000> the
this if you want to convey the
this if you want to convey the
information<00:10:47.480> to<00:10:47.680> other<00:10:47.839> people<00:10:48.079> about
information to other people about
information to other people about
virtual
virtual
virtual
autopsies<00:10:50.600> okay<00:10:50.800> now<00:10:50.959> we're<00:10:51.120> talking<00:10:51.320> about
autopsies okay now we're talking about
autopsies okay now we're talking about
touch<00:10:52.120> uh<00:10:52.320> let's<00:10:52.519> let<00:10:52.600> me<00:10:52.720> move<00:10:52.920> on<00:10:53.040> to<00:10:53.320> to
touch uh let's let me move on to to
touch uh let's let me move on to to
Really<00:10:53.920> touching<00:10:54.320> data<00:10:55.279> U<00:10:55.440> and<00:10:55.560> this<00:10:55.680> is<00:10:55.760> a<00:10:55.880> bit
Really touching data U and this is a bit
Really touching data U and this is a bit
of<00:10:56.120> Science<00:10:56.399> Fiction<00:10:56.720> now<00:10:57.120> so<00:10:57.560> uh<00:10:57.639> so<00:10:57.800> we're
of Science Fiction now so uh so we're
of Science Fiction now so uh so we're
moving<00:10:58.200> into<00:10:58.560> the<00:10:58.920> the<00:10:59.000> really<00:10:59.440> the<00:10:59.560> future
moving into the the really the future
moving into the the really the future
this<00:11:00.120> is<00:11:00.320> not<00:11:00.519> really<00:11:00.720> what<00:11:00.880> the<00:11:00.959> medical
this is not really what the medical
this is not really what the medical
doctors<00:11:01.560> are<00:11:01.720> using<00:11:02.079> right<00:11:02.240> now<00:11:02.839> but<00:11:03.000> I<00:11:03.079> hope
doctors are using right now but I hope
doctors are using right now but I hope
they<00:11:03.399> will<00:11:03.560> in<00:11:03.639> the<00:11:03.760> future<00:11:04.440> so<00:11:04.639> what<00:11:04.720> you're
they will in the future so what you're
they will in the future so what you're
seeing<00:11:05.440> on<00:11:05.560> the<00:11:05.720> left<00:11:06.120> is<00:11:06.639> a<00:11:06.760> touch<00:11:07.040> device
seeing on the left is a touch device
seeing on the left is a touch device
it's<00:11:07.600> a<00:11:07.800> it's<00:11:07.880> a<00:11:08.040> little<00:11:08.399> mechanical<00:11:08.959> pen<00:11:09.680> that
it's a it's a little mechanical pen that
it's a it's a little mechanical pen that
has<00:11:10.040> very<00:11:10.240> very<00:11:10.399> far<00:11:10.720> step<00:11:10.959> Motors<00:11:11.399> inside<00:11:11.680> of
has very very far step Motors inside of
has very very far step Motors inside of
the<00:11:11.959> pen<00:11:12.880> um<00:11:13.000> so<00:11:13.160> I<00:11:13.240> can<00:11:13.440> generate<00:11:13.800> a<00:11:13.920> force
the pen um so I can generate a force
the pen um so I can generate a force
feedback<00:11:14.639> so<00:11:14.800> when<00:11:14.920> I<00:11:15.079> virtually<00:11:15.639> touch<00:11:16.079> data
feedback so when I virtually touch data
feedback so when I virtually touch data
it<00:11:16.800> will<00:11:17.000> generate<00:11:17.399> forces<00:11:17.760> in<00:11:17.880> the<00:11:18.040> pen<00:11:18.279> so<00:11:18.399> I
it will generate forces in the pen so I
it will generate forces in the pen so I
get<00:11:18.600> a<00:11:18.920> feedback<00:11:19.920> okay<00:11:20.160> so<00:11:20.320> in<00:11:20.480> this
get a feedback okay so in this
get a feedback okay so in this
particular<00:11:21.040> situation<00:11:21.600> it's<00:11:21.880> it's<00:11:22.000> a<00:11:22.200> scan<00:11:22.600> of
particular situation it's it's a scan of
particular situation it's it's a scan of
a<00:11:22.880> living<00:11:23.160> person<00:11:24.079> I<00:11:24.240> have<00:11:24.399> this<00:11:24.639> pen<00:11:25.040> and<00:11:25.200> I
a living person I have this pen and I
a living person I have this pen and I
look<00:11:25.560> at<00:11:25.760> the<00:11:25.959> at<00:11:26.079> the<00:11:26.240> data<00:11:26.600> and<00:11:26.760> I<00:11:26.920> move<00:11:27.160> the
look at the at the data and I move the
look at the at the data and I move the
pen<00:11:27.560> towards<00:11:27.920> the<00:11:28.079> head<00:11:28.600> and<00:11:28.760> all<00:11:28.880> of<00:11:29.000> a<00:11:29.040> sudden
pen towards the head and all of a sudden
pen towards the head and all of a sudden
and<00:11:29.399> I<00:11:29.480> feel<00:11:29.760> resistance<00:11:30.720> okay<00:11:30.880> so<00:11:31.000> I<00:11:31.079> can<00:11:31.200> feel
and I feel resistance okay so I can feel
and I feel resistance okay so I can feel
the<00:11:31.880> skin<00:11:32.880> if<00:11:33.000> I<00:11:33.160> push<00:11:33.399> a<00:11:33.519> little<00:11:33.680> bit<00:11:33.839> harder
the skin if I push a little bit harder
the skin if I push a little bit harder
I'll<00:11:34.320> go<00:11:34.480> through<00:11:34.680> the<00:11:34.800> skin<00:11:35.160> I<00:11:35.240> can<00:11:35.399> feel<00:11:35.760> the
I'll go through the skin I can feel the
I'll go through the skin I can feel the
the<00:11:36.040> bone<00:11:36.279> structure<00:11:36.680> insides<00:11:37.680> if<00:11:37.800> I<00:11:38.000> push
the bone structure insides if I push
the bone structure insides if I push
even<00:11:38.560> harder<00:11:38.920> I'll<00:11:39.079> go<00:11:39.240> through<00:11:39.399> the<00:11:39.480> bone
even harder I'll go through the bone
even harder I'll go through the bone
structure<00:11:40.120> especially<00:11:40.440> close<00:11:40.680> to<00:11:40.800> the<00:11:40.920> ear
structure especially close to the ear
structure especially close to the ear
where<00:11:41.320> the<00:11:41.440> bone<00:11:41.639> is<00:11:41.800> very<00:11:42.000> soft<00:11:42.800> and<00:11:42.920> then<00:11:43.040> I
where the bone is very soft and then I
where the bone is very soft and then I
can<00:11:43.240> feel<00:11:43.399> the<00:11:43.480> brain<00:11:43.760> inside<00:11:44.040> and<00:11:44.160> it's<00:11:44.240> a<00:11:44.360> bit
can feel the brain inside and it's a bit
can feel the brain inside and it's a bit
slushy<00:11:45.120> like
slushy like
slushy like
this<00:11:47.079> so<00:11:47.240> this<00:11:47.320> is<00:11:47.519> really<00:11:47.760> nice<00:11:48.160> and<00:11:48.320> you<00:11:48.440> know
this so this is really nice and you know
this so this is really nice and you know
to<00:11:48.760> take<00:11:48.920> that<00:11:49.120> even<00:11:49.399> further<00:11:49.839> this<00:11:49.920> is<00:11:50.079> a
to take that even further this is a
to take that even further this is a
heart<00:11:51.040> and<00:11:51.160> this<00:11:51.279> is<00:11:51.480> also<00:11:52.079> due<00:11:52.279> to<00:11:52.480> these
heart and this is also due to these
heart and this is also due to these
fantastic<00:11:53.079> new<00:11:53.360> scanners<00:11:53.880> that<00:11:54.079> just<00:11:54.240> in<00:11:54.720> in
fantastic new scanners that just in in
fantastic new scanners that just in in
0.3<00:11:55.800> seconds<00:11:56.240> I<00:11:56.360> can<00:11:56.560> scan<00:11:56.839> the<00:11:57.000> whole<00:11:57.240> heart
0.3 seconds I can scan the whole heart
0.3 seconds I can scan the whole heart
and<00:11:58.160> I<00:11:58.240> can<00:11:58.399> do<00:11:58.560> that<00:11:58.680> with<00:11:58.800> time<00:11:59.240> resolution
and I can do that with time resolution
and I can do that with time resolution
so<00:12:00.480> just<00:12:00.639> looking<00:12:00.920> at<00:12:01.079> this<00:12:01.279> heart<00:12:01.920> uh<00:12:02.079> I<00:12:02.160> can
so just looking at this heart uh I can
so just looking at this heart uh I can
play<00:12:02.560> back<00:12:02.680> a<00:12:02.839> video<00:12:03.200> here<00:12:03.639> and<00:12:03.800> this<00:12:03.920> is<00:12:04.240> khuan
play back a video here and this is khuan
play back a video here and this is khuan
one<00:12:04.959> of<00:12:05.079> my<00:12:05.200> graduate<00:12:05.519> students<00:12:05.800> who's<00:12:06.000> been
one of my graduate students who's been
one of my graduate students who's been
working<00:12:06.360> on<00:12:06.519> this<00:12:06.680> project<00:12:06.959> and<00:12:07.079> he<00:12:07.240> sitting
working on this project and he sitting
working on this project and he sitting
there<00:12:07.639> in<00:12:07.760> front<00:12:07.959> of<00:12:08.040> the<00:12:08.160> haptic<00:12:08.600> device<00:12:09.000> the
there in front of the haptic device the
there in front of the haptic device the
force<00:12:09.399> feedback<00:12:10.000> system<00:12:11.000> um<00:12:11.200> and<00:12:11.320> he's<00:12:11.519> moving
force feedback system um and he's moving
force feedback system um and he's moving
his<00:12:12.040> pen<00:12:12.839> uh<00:12:12.959> towards<00:12:13.399> the<00:12:13.560> heart<00:12:13.839> and<00:12:13.959> the
his pen uh towards the heart and the
his pen uh towards the heart and the
Heart<00:12:14.279> Is<00:12:14.399> Now<00:12:14.600> beating<00:12:14.880> in<00:12:14.959> front<00:12:15.199> of<00:12:15.320> him<00:12:15.480> so
Heart Is Now beating in front of him so
Heart Is Now beating in front of him so
he<00:12:15.720> can<00:12:15.880> see<00:12:16.079> how<00:12:16.199> the<00:12:16.279> heart<00:12:16.440> is<00:12:16.560> beating<00:12:17.480> he's
he can see how the heart is beating he's
he can see how the heart is beating he's
taking<00:12:17.920> the<00:12:18.079> pen<00:12:18.639> and<00:12:18.760> he's<00:12:18.920> moving<00:12:19.199> it
taking the pen and he's moving it
taking the pen and he's moving it
towards<00:12:19.639> the<00:12:19.800> heart<00:12:20.120> and<00:12:20.240> he's<00:12:20.399> putting<00:12:20.639> it<00:12:20.760> on
towards the heart and he's putting it on
towards the heart and he's putting it on
the<00:12:21.040> heart<00:12:21.240> and<00:12:21.399> then<00:12:21.480> he<00:12:21.600> feels<00:12:22.000> the<00:12:22.079> heart
the heart and then he feels the heart
the heart and then he feels the heart
beats<00:12:23.240> from<00:12:23.440> the<00:12:23.560> real<00:12:23.839> living<00:12:24.240> patient<00:12:24.720> and
beats from the real living patient and
beats from the real living patient and
he<00:12:24.959> can<00:12:25.160> examine<00:12:25.519> how<00:12:25.680> the<00:12:25.800> heart<00:12:25.959> is<00:12:26.079> moving
he can examine how the heart is moving
he can examine how the heart is moving
he<00:12:26.959> can<00:12:27.240> go<00:12:27.480> inside<00:12:27.959> push<00:12:28.199> inside<00:12:28.480> of<00:12:28.600> the
he can go inside push inside of the
he can go inside push inside of the
heart<00:12:29.279> and<00:12:29.480> really<00:12:29.680> feel<00:12:29.959> how<00:12:30.120> the<00:12:30.240> valves<00:12:30.560> are
heart and really feel how the valves are
heart and really feel how the valves are
moving<00:12:32.160> and<00:12:32.320> this<00:12:32.480> I<00:12:32.560> think<00:12:32.720> is<00:12:32.880> really<00:12:33.079> the
moving and this I think is really the
moving and this I think is really the
future<00:12:33.600> for<00:12:34.120> for<00:12:34.279> heart<00:12:34.519> surgeons<00:12:35.120> I<00:12:35.160> mean
future for for heart surgeons I mean
future for for heart surgeons I mean
it's<00:12:35.560> probably<00:12:35.839> the<00:12:35.959> wet<00:12:36.199> dream<00:12:36.480> for<00:12:36.639> a<00:12:36.720> heart
it's probably the wet dream for a heart
it's probably the wet dream for a heart
surgeon<00:12:37.720> to<00:12:37.880> be<00:12:38.000> able<00:12:38.240> to<00:12:38.519> to<00:12:38.720> go<00:12:38.959> inside<00:12:39.440> of
surgeon to be able to to go inside of
surgeon to be able to to go inside of
the<00:12:39.760> patient's<00:12:40.360> heart<00:12:40.720> before<00:12:40.920> you<00:12:41.079> actually
the patient's heart before you actually
the patient's heart before you actually
do<00:12:41.480> surgery<00:12:42.360> and<00:12:42.480> do<00:12:42.639> that<00:12:42.760> with<00:12:42.959> high<00:12:43.120> quality
do surgery and do that with high quality
do surgery and do that with high quality
resolution<00:12:44.079> data<00:12:44.639> so<00:12:44.839> this<00:12:44.920> is<00:12:45.079> really
resolution data so this is really
resolution data so this is really
neat<00:12:46.959> okay<00:12:47.959> now<00:12:48.160> we're<00:12:48.320> going<00:12:48.800> um<00:12:49.000> even
neat okay now we're going um even
neat okay now we're going um even
further<00:12:49.760> into<00:12:49.959> science<00:12:50.279> fiction<00:12:50.839> and<00:12:51.120> we
further into science fiction and we
further into science fiction and we
heard<00:12:51.480> a<00:12:51.560> little<00:12:51.760> bit<00:12:52.000> about<00:12:52.440> functional<00:12:53.240> MRI
heard a little bit about functional MRI
heard a little bit about functional MRI
now<00:12:54.720> uh<00:12:54.959> this<00:12:55.079> is<00:12:55.519> really<00:12:55.720> an<00:12:55.880> interesting
now uh this is really an interesting
now uh this is really an interesting
project<00:12:57.000> uh<00:12:57.440> MRI<00:12:58.440> is<00:12:58.560> using<00:12:58.880> mag<00:12:59.160> itic<00:12:59.440> fields
project uh MRI is using mag itic fields
project uh MRI is using mag itic fields
and<00:12:59.920> radio<00:13:00.240> frequencies<00:13:00.839> to<00:13:01.040> scan<00:13:01.320> off<00:13:01.519> the
and radio frequencies to scan off the
and radio frequencies to scan off the
brain<00:13:02.440> or<00:13:02.639> any<00:13:02.839> part<00:13:03.000> of<00:13:03.120> the<00:13:03.240> body<00:13:03.839> uh<00:13:03.959> so<00:13:04.120> what
brain or any part of the body uh so what
brain or any part of the body uh so what
we're<00:13:04.399> really<00:13:04.600> getting<00:13:04.880> out<00:13:05.000> of<00:13:05.279> this<00:13:05.760> is
we're really getting out of this is
we're really getting out of this is
information<00:13:06.720> of<00:13:06.959> the<00:13:07.160> structure<00:13:07.440> of<00:13:07.519> the
information of the structure of the
information of the structure of the
brain<00:13:07.880> but<00:13:08.040> we<00:13:08.120> can<00:13:08.399> also<00:13:08.839> measure<00:13:09.160> the
brain but we can also measure the
brain but we can also measure the
difference<00:13:10.279> in<00:13:10.519> magnetic<00:13:11.040> properties<00:13:11.440> of
difference in magnetic properties of
difference in magnetic properties of
blood<00:13:12.480> that's<00:13:12.720> oxygenated<00:13:13.480> and<00:13:13.680> blood<00:13:13.920> that's
blood that's oxygenated and blood that's
blood that's oxygenated and blood that's
depleted<00:13:14.560> of<00:13:14.720> oxygen<00:13:15.680> that<00:13:15.760> means<00:13:15.959> that<00:13:16.079> it's
depleted of oxygen that means that it's
depleted of oxygen that means that it's
possible<00:13:16.720> to<00:13:16.959> map<00:13:17.320> out<00:13:17.959> the<00:13:18.160> the<00:13:18.320> activity<00:13:18.720> of
possible to map out the the activity of
possible to map out the the activity of
the<00:13:19.399> brain<00:13:20.399> so<00:13:20.720> this<00:13:20.839> is<00:13:20.959> something<00:13:21.240> that
the brain so this is something that
the brain so this is something that
we've<00:13:21.519> been<00:13:21.639> working<00:13:21.880> on<00:13:22.120> and<00:13:22.240> you<00:13:22.399> just<00:13:22.560> saw<00:13:22.880> m
we've been working on and you just saw m
we've been working on and you just saw m
the<00:13:23.720> research<00:13:24.120> engineer<00:13:24.680> there<00:13:24.880> going<00:13:25.160> into
the research engineer there going into
the research engineer there going into
the<00:13:25.639> MRI<00:13:26.240> system<00:13:27.240> um<00:13:27.399> and<00:13:27.480> he<00:13:27.560> was<00:13:27.720> wearing
the MRI system um and he was wearing
the MRI system um and he was wearing
goggles<00:13:28.560> so<00:13:28.720> he<00:13:28.839> could<00:13:29.160> actually<00:13:29.440> see<00:13:29.839> things
goggles so he could actually see things
goggles so he could actually see things
in<00:13:30.440> the<00:13:30.600> goggles<00:13:30.920> so<00:13:31.079> I<00:13:31.160> could<00:13:31.360> present<00:13:31.760> things
in the goggles so I could present things
in the goggles so I could present things
to<00:13:32.160> him<00:13:32.800> while<00:13:33.040> he's<00:13:33.240> in<00:13:33.360> the<00:13:33.519> scanner<00:13:33.920> and
to him while he's in the scanner and
to him while he's in the scanner and
this<00:13:34.120> is<00:13:34.199> a<00:13:34.320> little<00:13:34.440> bit<00:13:34.600> freaky<00:13:35.600> because<00:13:35.880> what
this is a little bit freaky because what
this is a little bit freaky because what
matz<00:13:36.320> is<00:13:36.440> seeing<00:13:37.120> is<00:13:37.360> actually<00:13:37.720> this<00:13:38.040> he's
matz is seeing is actually this he's
matz is seeing is actually this he's
seeing<00:13:38.519> his<00:13:38.639> own
seeing his own
seeing his own
brain<00:13:40.959> so<00:13:41.199> matz<00:13:41.480> is<00:13:41.600> doing<00:13:41.920> something<00:13:42.279> here
brain so matz is doing something here
brain so matz is doing something here
probably<00:13:42.800> he's<00:13:43.040> going<00:13:43.320> like<00:13:43.560> this<00:13:43.800> with<00:13:43.959> his
probably he's going like this with his
probably he's going like this with his
right<00:13:44.399> hand<00:13:44.680> because<00:13:44.920> the<00:13:45.120> left<00:13:45.399> side<00:13:45.639> is<00:13:46.079> is
right hand because the left side is is
right hand because the left side is is
activated<00:13:47.000> with<00:13:47.199> on<00:13:47.360> the<00:13:47.440> motor<00:13:47.760> cortex<00:13:48.399> right
activated with on the motor cortex right
activated with on the motor cortex right
and<00:13:48.720> then<00:13:48.839> he<00:13:48.959> can<00:13:49.120> see<00:13:49.440> that<00:13:49.880> at<00:13:50.000> the<00:13:50.120> same
and then he can see that at the same
and then he can see that at the same
time<00:13:51.120> these<00:13:51.360> visualizations<00:13:52.000> are<00:13:52.199> brand<00:13:52.480> new
time these visualizations are brand new
time these visualizations are brand new
and<00:13:53.160> and<00:13:53.279> this<00:13:53.360> is<00:13:53.480> something<00:13:53.720> that<00:13:53.839> we've
and and this is something that we've
and and this is something that we've
been<00:13:54.120> researching<00:13:54.560> for<00:13:54.880> a<00:13:55.040> little<00:13:55.279> while<00:13:56.079> this
been researching for a little while this
been researching for a little while this
is<00:13:56.399> another<00:13:56.759> sequence<00:13:57.279> of<00:13:57.440> of<00:13:57.560> mz's<00:13:58.000> brain<00:13:58.600> and
is another sequence of of mz's brain and
is another sequence of of mz's brain and
here<00:13:59.160> we<00:13:59.279> asked<00:13:59.480> Ms<00:13:59.759> to<00:13:59.920> go<00:14:00.120> to<00:14:00.320> calculate
here we asked Ms to go to calculate
here we asked Ms to go to calculate
backwards<00:14:01.199> from<00:14:01.560> 100<00:14:01.800> so<00:14:01.920> he's<00:14:02.120> going<00:14:02.519> 100<00:14:02.839> 97
backwards from 100 so he's going 100 97
backwards from 100 so he's going 100 97
94<00:14:04.320> and<00:14:04.440> then<00:14:04.560> he's<00:14:04.720> going<00:14:04.920> backwards<00:14:05.800> and<00:14:05.880> you
94 and then he's going backwards and you
94 and then he's going backwards and you
can<00:14:06.120> see<00:14:06.279> how<00:14:06.440> the<00:14:06.560> little<00:14:06.759> math<00:14:07.079> processor<00:14:07.480> is
can see how the little math processor is
can see how the little math processor is
working<00:14:07.880> up<00:14:08.040> here<00:14:08.160> in<00:14:08.279> his<00:14:08.440> brain<00:14:09.199> and<00:14:09.320> is
working up here in his brain and is
working up here in his brain and is
lighting<00:14:09.839> up<00:14:10.000> the<00:14:10.120> whole<00:14:10.279> brain<00:14:10.639> this<00:14:10.759> is
lighting up the whole brain this is
lighting up the whole brain this is
fantastic<00:14:11.480> we<00:14:11.560> can<00:14:11.720> do<00:14:11.839> this<00:14:11.959> in<00:14:12.120> real<00:14:12.399> time<00:14:13.040> we
fantastic we can do this in real time we
fantastic we can do this in real time we
can<00:14:13.399> investigate<00:14:14.000> things<00:14:14.240> we<00:14:14.320> can<00:14:14.440> tell<00:14:14.639> him
can investigate things we can tell him
can investigate things we can tell him
to<00:14:14.920> do<00:14:15.120> things<00:14:15.320> you<00:14:15.399> can<00:14:15.560> also<00:14:15.759> see<00:14:15.959> that<00:14:16.079> his
to do things you can also see that his
to do things you can also see that his
visual<00:14:16.600> cortex<00:14:17.000> is<00:14:17.240> activated<00:14:17.639> in<00:14:17.720> the<00:14:17.839> back
visual cortex is activated in the back
visual cortex is activated in the back
of<00:14:18.079> the<00:14:18.199> head<00:14:19.000> because<00:14:19.279> that's<00:14:19.399> where<00:14:19.560> he's
of the head because that's where he's
of the head because that's where he's
seeing<00:14:20.079> he's<00:14:20.240> seeing<00:14:20.480> his<00:14:20.600> own<00:14:20.839> brain<00:14:21.519> and<00:14:21.600> he
seeing he's seeing his own brain and he
seeing he's seeing his own brain and he
also<00:14:22.040> hearing<00:14:22.360> our<00:14:22.560> instructions<00:14:23.079> when<00:14:23.199> we
also hearing our instructions when we
also hearing our instructions when we
tell<00:14:23.480> him<00:14:23.600> to<00:14:23.759> do<00:14:23.920> things<00:14:24.720> the<00:14:24.920> signal<00:14:25.320> is
tell him to do things the signal is
tell him to do things the signal is
really<00:14:25.800> deep<00:14:26.040> inside<00:14:26.279> of<00:14:26.399> the<00:14:26.480> brain<00:14:26.759> as<00:14:26.839> well
really deep inside of the brain as well
really deep inside of the brain as well
and<00:14:27.120> it's<00:14:27.279> shining<00:14:27.720> through<00:14:28.040> because<00:14:28.320> all<00:14:28.480> of
and it's shining through because all of
and it's shining through because all of
the<00:14:28.720> data<00:14:29.360> inside<00:14:29.600> of<00:14:29.759> this<00:14:30.240> volume<00:14:31.240> uh<00:14:31.399> and<00:14:31.480> in
the data inside of this volume uh and in
the data inside of this volume uh and in
just<00:14:31.759> a<00:14:31.920> second<00:14:32.240> here<00:14:32.360> you<00:14:32.440> will<00:14:32.639> see<00:14:33.040> okay
just a second here you will see okay
just a second here you will see okay
here<00:14:33.480> Ms<00:14:33.920> okay<00:14:34.079> now<00:14:34.199> move<00:14:34.399> your<00:14:34.560> left<00:14:34.800> foot
here Ms okay now move your left foot
here Ms okay now move your left foot
okay<00:14:35.240> so<00:14:35.399> it's<00:14:35.600> going<00:14:35.839> like<00:14:36.000> this<00:14:36.279> okay<00:14:36.839> for
okay so it's going like this okay for
okay so it's going like this okay for
for<00:14:37.399> 20<00:14:37.680> seconds<00:14:37.959> it's<00:14:38.160> going<00:14:38.360> like<00:14:38.519> that<00:14:38.639> and
for 20 seconds it's going like that and
for 20 seconds it's going like that and
all<00:14:38.880> of<00:14:38.959> a<00:14:39.040> sudden<00:14:39.240> it<00:14:39.360> lights<00:14:39.680> up<00:14:39.880> up<00:14:40.079> here<00:14:40.519> so
all of a sudden it lights up up here so
all of a sudden it lights up up here so
we<00:14:40.800> get<00:14:40.959> motor<00:14:41.240> cortex<00:14:41.639> activation<00:14:42.079> up<00:14:42.320> there
we get motor cortex activation up there
we get motor cortex activation up there
so<00:14:43.399> this<00:14:43.519> is<00:14:43.680> really<00:14:43.920> really<00:14:44.160> nice<00:14:44.639> um<00:14:44.920> and<00:14:45.360> uh
so this is really really nice um and uh
so this is really really nice um and uh
and<00:14:45.600> I<00:14:45.720> think<00:14:45.880> this<00:14:45.959> is<00:14:46.079> a<00:14:46.279> great<00:14:46.519> tool<00:14:46.880> and
and I think this is a great tool and
and I think this is a great tool and
connecting<00:14:47.519> also<00:14:47.759> to<00:14:47.959> the<00:14:48.079> previous<00:14:48.440> talk
connecting also to the previous talk
connecting also to the previous talk
here<00:14:49.279> this<00:14:49.360> is<00:14:49.560> something<00:14:49.839> that<00:14:49.959> we<00:14:50.079> could<00:14:50.240> use
here this is something that we could use
here this is something that we could use
as<00:14:50.600> a<00:14:50.759> tool<00:14:51.199> to<00:14:51.560> to<00:14:51.759> really<00:14:52.399> understand<00:14:52.720> how
as a tool to to really understand how
as a tool to to really understand how
the<00:14:53.040> neurons<00:14:53.360> are<00:14:53.480> working<00:14:53.759> how<00:14:53.880> the<00:14:54.000> brain<00:14:54.240> is
the neurons are working how the brain is
the neurons are working how the brain is
working<00:14:55.040> and<00:14:55.160> we<00:14:55.279> can<00:14:55.399> do<00:14:55.560> this<00:14:55.720> with<00:14:55.959> very
working and we can do this with very
working and we can do this with very
very<00:14:56.399> high<00:14:56.600> visual<00:14:56.920> quality<00:14:57.639> and<00:14:57.839> very<00:14:58.079> fast
very high visual quality and very fast
very high visual quality and very fast
resolution
resolution
resolution
now<00:15:01.160> we're<00:15:01.320> also<00:15:01.519> having<00:15:01.680> a<00:15:01.759> bit<00:15:01.920> of<00:15:02.040> fun<00:15:02.240> at
now we're also having a bit of fun at
now we're also having a bit of fun at
the<00:15:02.480> center<00:15:02.839> so<00:15:03.040> this<00:15:03.120> is<00:15:03.240> a<00:15:03.440> CAT<00:15:03.680> scan<00:15:04.040> I<00:15:04.120> don't
the center so this is a CAT scan I don't
the center so this is a CAT scan I don't
know<00:15:04.360> if<00:15:04.440> you<00:15:04.639> computered<00:15:05.320> tomography<00:15:06.240> okay
know if you computered tomography okay
know if you computered tomography okay
so<00:15:07.240> this<00:15:07.360> is<00:15:07.480> a<00:15:07.680> lion<00:15:08.120> from<00:15:08.320> the<00:15:08.440> local<00:15:08.680> Sue
so this is a lion from the local Sue
so this is a lion from the local Sue
outside<00:15:09.320> of<00:15:09.399> North<00:15:09.639> shiing<00:15:09.959> call<00:15:10.279> Moran<00:15:11.279> um
outside of North shiing call Moran um
outside of North shiing call Moran um
Elsa<00:15:12.279> uh<00:15:12.360> so<00:15:12.560> she<00:15:12.720> came<00:15:12.880> to<00:15:13.040> the<00:15:13.160> center<00:15:13.759> and<00:15:14.279> uh
Elsa uh so she came to the center and uh
Elsa uh so she came to the center and uh
they<00:15:15.040> sedated<00:15:15.519> her<00:15:15.839> and<00:15:16.000> then<00:15:16.160> put<00:15:16.320> her
they sedated her and then put her
they sedated her and then put her
straight<00:15:16.680> into<00:15:16.839> the<00:15:16.959> scanner<00:15:17.440> and<00:15:17.720> of<00:15:17.880> course
straight into the scanner and of course
straight into the scanner and of course
I<00:15:18.160> get<00:15:18.320> the<00:15:18.480> whole<00:15:18.839> data<00:15:19.160> set<00:15:19.399> from<00:15:19.600> The<00:15:19.920> Lion
I get the whole data set from The Lion
I get the whole data set from The Lion
and<00:15:21.040> I<00:15:21.120> can<00:15:21.279> do<00:15:21.480> very<00:15:21.680> nice<00:15:21.920> images<00:15:22.360> like<00:15:22.560> this
and I can do very nice images like this
and I can do very nice images like this
I<00:15:22.880> can<00:15:23.120> peel<00:15:23.399> off<00:15:23.560> the<00:15:23.680> layer<00:15:23.959> of<00:15:24.079> the<00:15:24.199> lion<00:15:24.639> I
I can peel off the layer of the lion I
I can peel off the layer of the lion I
can<00:15:24.839> look<00:15:25.160> inside<00:15:25.519> of<00:15:25.680> it<00:15:26.519> and<00:15:26.759> you<00:15:26.839> know<00:15:27.000> we've
can look inside of it and you know we've
can look inside of it and you know we've
been<00:15:27.360> experimenting<00:15:27.920> with<00:15:28.079> this<00:15:28.199> and<00:15:28.360> I<00:15:28.440> think
been experimenting with this and I think
been experimenting with this and I think
this<00:15:28.680> is<00:15:28.800> a<00:15:29.199> great<00:15:29.560> application<00:15:30.079> for<00:15:30.240> the
this is a great application for the
this is a great application for the
future<00:15:30.920> of<00:15:31.160> this<00:15:31.480> technology<00:15:32.480> because
future of this technology because
future of this technology because
there's<00:15:33.040> very<00:15:33.279> little<00:15:33.720> known<00:15:34.160> about<00:15:34.399> the
there's very little known about the
there's very little known about the
animal<00:15:35.000> Anatomy<00:15:35.839> what's<00:15:36.079> known<00:15:36.319> out<00:15:36.480> there
animal Anatomy what's known out there
animal Anatomy what's known out there
for<00:15:36.759> veterinarians<00:15:37.440> it's<00:15:37.600> kind<00:15:37.720> of<00:15:37.920> basic
for veterinarians it's kind of basic
for veterinarians it's kind of basic
information<00:15:39.199> and<00:15:39.319> we<00:15:39.440> can<00:15:39.600> scan<00:15:39.959> all<00:15:40.120> sorts<00:15:40.319> of
information and we can scan all sorts of
information and we can scan all sorts of
things<00:15:40.800> all<00:15:40.959> sorts<00:15:41.160> of
things all sorts of
things all sorts of
animals<00:15:42.839> the<00:15:42.959> only<00:15:43.240> problem<00:15:43.440> is<00:15:43.560> to<00:15:43.680> fit<00:15:43.880> it
animals the only problem is to fit it
animals the only problem is to fit it
into<00:15:44.240> the
into the
into the
machine<00:15:45.880> okay<00:15:46.040> so<00:15:46.199> here's<00:15:46.360> a<00:15:46.519> bear<00:15:47.519> uh<00:15:47.639> it<00:15:47.720> was
machine okay so here's a bear uh it was
machine okay so here's a bear uh it was
kind<00:15:48.000> of<00:15:48.120> hard<00:15:48.279> to<00:15:48.399> get<00:15:48.519> it<00:15:48.839> in<00:15:49.839> um<00:15:50.160> and<00:15:50.279> you
kind of hard to get it in um and you
kind of hard to get it in um and you
know<00:15:50.600> the<00:15:50.680> bear<00:15:50.920> is<00:15:51.000> a<00:15:51.160> cuddly<00:15:51.560> friendly
know the bear is a cuddly friendly
know the bear is a cuddly friendly
animal<00:15:53.759> and<00:15:54.000> here<00:15:54.120> it<00:15:54.279> is<00:15:54.480> here's<00:15:54.680> the<00:15:54.800> nose<00:15:55.040> of
animal and here it is here's the nose of
animal and here it is here's the nose of
the<00:15:55.279> bear<00:15:56.240> and<00:15:56.360> you<00:15:56.480> know<00:15:56.600> you<00:15:56.720> might<00:15:56.839> want<00:15:56.920> to
the bear and you know you might want to
the bear and you know you might want to
cuddle<00:15:57.440> this<00:15:57.560> one<00:15:58.319> until<00:15:58.680> you<00:15:59.000> to<00:15:59.319> change<00:15:59.680> the
cuddle this one until you to change the
cuddle this one until you to change the
functions<00:16:00.360> and<00:16:00.519> look<00:16:00.680> at<00:16:00.920> this<00:16:01.199> so<00:16:01.880> be<00:16:02.079> aware
functions and look at this so be aware
functions and look at this so be aware
of<00:16:02.440> the<00:16:02.560> bear<00:16:03.120> all<00:16:03.279> right<00:16:03.759> so<00:16:04.519> with<00:16:04.720> that<00:16:04.959> I'd
of the bear all right so with that I'd
of the bear all right so with that I'd
like<00:16:05.319> to<00:16:05.839> um<00:16:06.040> to<00:16:06.240> thank<00:16:06.440> all<00:16:06.600> the<00:16:06.720> people<00:16:07.199> that
like to um to thank all the people that
like to um to thank all the people that
have<00:16:07.639> helped<00:16:07.920> me<00:16:08.040> to<00:16:08.199> generate<00:16:08.560> these<00:16:08.880> images
have helped me to generate these images
have helped me to generate these images
uh<00:16:10.000> it's<00:16:10.079> a<00:16:10.240> huge<00:16:10.480> effort<00:16:10.800> that<00:16:10.959> goes<00:16:11.160> into
uh it's a huge effort that goes into
uh it's a huge effort that goes into
doing<00:16:11.880> this<00:16:12.240> Gathering<00:16:12.560> the<00:16:12.759> data<00:16:13.519> and
doing this Gathering the data and
doing this Gathering the data and
developing<00:16:14.199> the<00:16:14.319> algorithms<00:16:15.279> writing<00:16:15.639> all
developing the algorithms writing all
developing the algorithms writing all
the<00:16:15.959> software<00:16:16.880> so<00:16:17.240> some<00:16:17.440> very<00:16:17.680> talented
the software so some very talented
the software so some very talented
people<00:16:19.160> uh<00:16:19.360> my<00:16:19.519> motto<00:16:19.839> is<00:16:20.000> always<00:16:20.440> I<00:16:20.680> only<00:16:20.959> hire
people uh my motto is always I only hire
people uh my motto is always I only hire
people<00:16:21.480> that<00:16:21.600> are<00:16:21.720> smarter<00:16:22.079> than<00:16:22.240> I<00:16:22.399> am<00:16:22.680> and
people that are smarter than I am and
people that are smarter than I am and
most<00:16:23.120> of<00:16:23.199> these<00:16:23.319> are<00:16:23.480> smarter<00:16:23.759> than<00:16:23.880> I<00:16:24.000> am<00:16:24.199> so
most of these are smarter than I am so
most of these are smarter than I am so
thank<00:16:24.600> you<00:16:24.720> very
much
Anders Ynnerman, TED, TEDx, TEDxGoteborg, data, visualization, medicine, medical, technology, scan, doctor, TED-Ed, TEDEducation, TED, Ed
