Anders Ynnerman: Visualizing the medical data explosion

42,202 views ・ 2011-01-21

TED


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譯者: SHUMAN WEI 審譯者: Coco Shen
00:15
I will start by posing a little bit of a challenge:
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首先我先向大家介紹一個亟需解決的難題
00:19
the challenge of dealing with data,
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如何有效處理
00:22
data that we have to deal with
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醫療過程中生成的
00:24
in medical situations.
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海量數據.
00:26
It's really a huge challenge for us.
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這些數據處理起來十分棘手.
00:28
And this is our beast of burden --
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這個正是解決此難題的關鍵.
00:30
this is a Computer Tomography machine,
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一台x光斷層掃描儀
00:32
a CT machine.
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即CT機.
00:34
It's a fantastic device.
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這台機器非常先進.
00:36
It uses X-rays, X-ray beams,
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它使用X線管發出X線束對患者進行掃描,
00:38
that are rotating very fast around the human body.
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同時這些X線管會圍繞患者高速旋轉.
00:41
It takes about 30 seconds to go through the whole machine
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CT機完成一次掃描需要大約30秒
00:43
and is generating enormous amounts of information
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同時採集並輸出掃描所生成的
00:45
that comes out of the machine.
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大量信息.
00:47
So this is a fantastic machine
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這台機器真的非常厲害
00:49
that we can use
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它可以用來
00:51
for improving health care,
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提高衛生保健的質量.
00:53
but as I said, it's also a challenge for us.
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但正如之前所說,它也為我們帶來了一個問題.
00:55
And the challenge is really found in this picture here.
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從這張圖片大家可以看到這個問題.
00:58
It's the medical data explosion
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它正是我們現在正在面臨的
01:00
that we're having right now.
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醫療數據爆炸.
01:02
We're facing this problem.
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我們正在努力解決這個問題.
01:04
And let me step back in time.
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讓我們先來回顧一下過去.
01:06
Let's go back a few years in time and see what happened back then.
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現在我們回到幾十年前
01:09
These machines that came out --
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我要說的這些機器
01:11
they started coming in the 1970s --
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於上世紀70年代開始投入使用
01:13
they would scan human bodies,
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醫生們用這些機器對患者進行人體掃描.
01:15
and they would generate about 100 images
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之後會生成大約100張
01:17
of the human body.
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人體影像.
01:19
And I've taken the liberty, just for clarity,
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恕我冒昧,為了方便理解,
01:21
to translate that to data slices.
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我把這圖像轉換成等量的數據切片.
01:24
That would correspond to about 50 megabytes of data,
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這些圖像大約相當於50MB的數據,
01:26
which is small
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這個數量很小
01:28
when you think about the data we can handle today
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如果和現在我們每天打交道的信息量相比
01:31
just on normal mobile devices.
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只與普通的移動設備相當.
01:33
If you translate that to phone books,
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如果拿電話簿的信息量做比的話,
01:35
it's about one meter of phone books in the pile.
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約相當於一米高的電話簿疊加.
01:38
Looking at what we're doing today
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現在我們來看看今天
01:40
with these machines that we have,
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對這些機器的使用.
01:42
we can, just in a few seconds,
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現在,只需數秒
01:44
get 24,000 images out of a body,
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一位患者的人體掃描可以得到24,000張影像.
01:46
and that would correspond to about 20 gigabytes of data,
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這相當於 20 GB的數據,
01:49
or 800 phone books,
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800本電話簿.
01:51
and the pile would then be 200 meters of phone books.
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壘起來大約有200米.
01:53
What's about to happen --
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然後呢,會發生甚麼?
01:55
and we're seeing this; it's beginning --
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我們可以看到,它已經開始了----
01:57
a technology trend that's happening right now
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一種新的技術趨勢已經出現
01:59
is that we're starting to look at time-resolved situations as well.
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我們開始考量時間分辨力.
02:02
So we're getting the dynamics out of the body as well.
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我們也需要得到書面化的診斷結果.
02:05
And just assume
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現在我們假設
02:07
that we will be collecting data during five seconds,
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我們收集到了掃描5秒鐘所得數據,
02:10
and that would correspond to one terabyte of data --
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大約為1 TB.
02:12
that's 800,000 books
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相當於800,000本電話簿,
02:14
and 16 kilometers of phone books.
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壘起來約16千米.
02:16
That's one patient, one data set.
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這還只是掃描一個病患所得數據集.
02:18
And this is what we have to deal with.
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這也正是我們需要處理的數據量
02:20
So this is really the enormous challenge that we have.
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所以說這個難題真的十分棘手.
02:23
And already today -- this is 25,000 images.
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現在正是這個問題. 這裡有25,000張影像.
02:26
Imagine the days
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想像一下在以前
02:28
when we had radiologists doing this.
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醫生們是這樣研究病理的.
02:30
They would put up 25,000 images,
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放到現在,他們要放25,000張圖像上去,
02:32
they would go like this, "25,0000, okay, okay.
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到時候他們就要像這樣去看,”第25,000張,
02:35
There is the problem."
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哎,對,問題找到了.”
02:37
They can't do that anymore. That's impossible.
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現實不允許他們再這樣去找了.
02:39
So we have to do something that's a little bit more intelligent than doing this.
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所以我們要想一些更聰明的辦法.
02:43
So what we do is that we put all these slices together.
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我們得把這些切片再整合起來.
02:45
Imagine that you slice your body in all these directions,
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我們先把自己沿這些各種方向切成數據片,
02:48
and then you try to put the slices back together again
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然後把這些切片再重新放回到一起,
02:51
into a pile of data, into a block of data.
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這樣一堆數據就成了一個數據塊
02:53
So this is really what we're doing.
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這就是我們要做的.
02:55
So this gigabyte or terabyte of data, we're putting it into this block.
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把這許多GB、TB的數據合成一個數據塊
02:58
But of course, the block of data
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當然,這個數據塊
03:00
just contains the amount of X-ray
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只包含了在各個部分
03:02
that's been absorbed in each point in the human body.
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被人體吸收了的X線束的數據.
03:04
So what we need to do is to figure out a way
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接下來我們要做的就是想個辦法
03:06
of looking at the things we do want to look at
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只顯示我們想看到那部分的數據,
03:09
and make things transparent that we don't want to look at.
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隱去我們不想看到的部份.
03:12
So transforming the data set
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於是我們要把這個數據集
03:14
into something that looks like this.
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變成這個樣子.
03:16
And this is a challenge.
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這個不容易做到.
03:18
This is a huge challenge for us to do that.
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這個非常不容易做到.
03:21
Using computers, even though they're getting faster and better all the time,
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雖然現在電腦運行已越來越快且穩定
03:24
it's a challenge to deal with gigabytes of data,
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利用電腦處理上GB 的數據,
03:26
terabytes of data
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或者說上TB的數據
03:28
and extracting the relevant information.
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並提取出所需信息依然並不容易.
03:30
I want to look at the heart.
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有時候要看一下心臟,
03:32
I want to look at the blood vessels. I want to look at the liver.
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有時候要看一下血管,有時看肝臟,
03:34
Maybe even find a tumor,
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也許有時候
03:36
in some cases.
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要找一下看沒有腫瘤.
03:39
So this is where this little dear comes into play.
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現在該我的小女兒出現了.
03:41
This is my daughter.
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這就是我女兒.
03:43
This is as of 9 a.m. this morning.
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這大概是今天上午9點.
03:45
She's playing a computer game.
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她在玩電腦遊戲.
03:47
She's only two years old,
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她才只有兩歲,
03:49
and she's having a blast.
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但是玩得很開心.
03:51
So she's really the driving force
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這樣的她正是
03:54
behind the development of graphics-processing units.
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催動圖像處理器進步的原動力.
03:58
As long as kids are playing computer games,
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只要小孩子還在玩電腦遊戲,
04:00
graphics is getting better and better and better.
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電腦圖像處理技術就會越來越好.
04:02
So please go back home, tell your kids to play more games,
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所以請大家回去告誡你們的小孩多玩遊戲吧,
04:04
because that's what I need.
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我真的很需要這個.
04:06
So what's inside of this machine
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我要說的是,我處理
04:08
is what enables me to do the things that I'm doing
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醫療數據要用的東西
04:10
with the medical data.
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就包含在這機器裡面.
04:12
So really what I'm doing is using these fantastic little devices.
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我要用到的就是這些能幹的小設備.
04:15
And you know, going back
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多年前
04:17
maybe 10 years in time
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大約十年前
04:19
when I got the funding
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我得到足夠的資金
04:21
to buy my first graphics computer --
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買了我的第一台繪圖電腦
04:23
it was a huge machine.
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那台電腦體型非常大
04:25
It was cabinets of processors and storage and everything.
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像塞滿處理器,存儲器等等等等的格子
04:28
I paid about one million dollars for that machine.
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這台機器花了我大約一百萬美金.
04:32
That machine is, today, about as fast as my iPhone.
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現在這機器運行速度大概和我的iPhone一樣.
04:37
So every month there are new graphics cards coming out,
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每個月都會有不同的新顯示卡面世.
04:39
and here is a few of the latest ones from the vendors --
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這是銷售商們推出的最新的顯示卡----
04:42
NVIDIA, ATI, Intel is out there as well.
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NVIDIA, ATI, 還有Intel.
04:45
And you know, for a few hundred bucks
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只要花個幾百塊
04:47
you can get these things and put them into your computer,
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就能買到這些裝到電腦裡面去,
04:49
and you can do fantastic things with these graphics cards.
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然後就可以做很多想做的事情.
04:52
So this is really what's enabling us
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要解決醫療數據爆炸的問題
04:54
to deal with the explosion of data in medicine,
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靠的正是這個.
04:57
together with some really nifty work
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再加上一些其他
04:59
in terms of algorithms --
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邏輯運算之類的技術活----
05:01
compressing data,
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比如數據壓縮,
05:03
extracting the relevant information that people are doing research on.
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以及提取醫生需要研究部分的信息.
05:06
So I'm going to show you a few examples of what we can do.
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接下來我為大家演示一下我們能做到的部分.
05:09
This is a data set that was captured using a CT scanner.
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這是使用CT機掃描時建成的一個數據集.
05:12
You can see that this is a full data [set].
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大家可以看到這是一套完整的數據.
05:15
It's a woman. You can see the hair.
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這是一位女性. 從頭髮可以分辨出來.
05:18
You can see the individual structures of the woman.
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大家可以看到這位女性身體各處的生理構造.
05:21
You can see that there is [a] scattering of X-rays
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她牙齒上一塊散布的X線束,
05:24
on the teeth, the metal in the teeth.
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那是牙齒上的一塊金屬.
05:26
That's where those artifacts are coming from.
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也就是人造物所在的地方.
05:29
But fully interactively
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然後只需
05:31
on standard graphics cards on a normal computer,
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在裝有普通顯示卡的普通電腦上
05:34
I can just put in a clip plane.
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進行適當的編程,解析出一個剖面.
05:36
And of course all the data is inside,
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當然所有的數據都沒在表面,
05:38
so I can start rotating, I can look at it from different angles,
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通過旋轉可以從不同的角度進行觀察,
05:41
and I can see that this woman had a problem.
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我可以看到這位女性有一個問題,
05:44
She had a bleeding up in the brain,
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她的大腦顱腔有一處出血,
05:46
and that's been fixed with a little stent,
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醫生用一個支架和
05:48
a metal clamp that's tightening up the vessel.
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一個金屬夾子夾緊血管來控制出血.
05:50
And just by changing the functions,
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通過改變功能設置,
05:52
then I can decide what's going to be transparent
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我可以決定讓哪部分隱去
05:55
and what's going to be visible.
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哪部分顯示出來.
05:57
I can look at the skull structure,
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我可以只看他的頭骨部分,
05:59
and I can see that, okay, this is where they opened up the skull on this woman,
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然後可以觀察出,哦,醫生是從這裡打開她的頭蓋骨,
06:02
and that's where they went in.
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然後是從這個地方著手進行手術.
06:04
So these are fantastic images.
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這些都是非常有用的圖像.
06:06
They're really high resolution,
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他們能提供非常有用的信息,
06:08
and they're really showing us what we can do
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能告訴我們今天用普通顯示卡
06:10
with standard graphics cards today.
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我們能做些甚麼.
06:13
Now we have really made use of this,
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現在我們確實已經開始利用起這些顯卡,
06:15
and we have tried to squeeze a lot of data
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我們希望能利用這些顯卡處理
06:18
into the system.
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盡量多的數據.
06:20
And one of the applications that we've been working on --
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我們正在開發的一個應用----
06:22
and this has gotten a little bit of traction worldwide --
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這個應用已經開始全球推廣----
06:25
is the application of virtual autopsies.
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虛擬屍檢.
06:27
So again, looking at very, very large data sets,
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這一次,從這些信息量巨大的數據集中
06:29
and you saw those full-body scans that we can do.
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大家可以再一次看到全身掃描的使用.
06:32
We're just pushing the body through the whole CT scanner,
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把屍體完全推進CT掃描儀,
06:35
and just in a few seconds we can get a full-body data set.
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只要數秒就可以得到一個全身數據集.
06:38
So this is from a virtual autopsy.
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這是一次虛擬屍檢的資料.
06:40
And you can see how I'm gradually peeling off.
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大家可以看到一層一層的解構如何完成.
06:42
First you saw the body bag that the body came in,
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首先是覆著屍體的停屍袋,然後是屍體
06:45
then I'm peeling off the skin -- you can see the muscles --
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然後剖開皮膚,出現肌肉
06:48
and eventually you can see the bone structure of this woman.
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最後可以看到這位女性的骨骼結構.
06:51
Now at this point, I would also like to emphasize
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在這裡,我要強調一下,
06:54
that, with the greatest respect
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對接下來我要展示的屍檢範例
06:56
for the people that I'm now going to show --
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我是懷著極高的敬意.
06:58
I'm going to show you a few cases of virtual autopsies --
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這些都是虛擬屍檢的應用案例
07:00
so it's with great respect for the people
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我是懷著對死者最高的敬意
07:02
that have died under violent circumstances
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向大家展示
07:04
that I'm showing these pictures to you.
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這些暴力死亡的屍檢案例.
07:08
In the forensic case --
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法醫屍檢裡
07:10
and this is something
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近四年來
07:12
that ... there's been approximately 400 cases so far
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單就瑞典我所在的地區來說
07:14
just in the part of Sweden that I come from
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目前已經有大約400例
07:16
that has been undergoing virtual autopsies
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法醫屍檢
07:18
in the past four years.
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採用了虛擬驗屍.
07:20
So this will be the typical workflow situation.
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虛擬驗屍的流程大概是這樣的.
07:23
The police will decide --
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首先,大概在晚上
07:25
in the evening, when there's a case coming in --
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警方到達案發現場
07:27
they will decide, okay, is this a case where we need to do an autopsy?
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根據現場情況決定是否需要虛擬驗屍.
07:30
So in the morning, in between six and seven in the morning,
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之後大概在早上6點到7點,
07:33
the body is then transported inside of the body bag
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警察們把屍體裝進停屍袋
07:35
to our center
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送到我們研究中心
07:37
and is being scanned through one of the CT scanners.
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使用CT機進行掃描.
07:39
And then the radiologist, together with the pathologist
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接著放射性專家以及病理學專家
07:41
and sometimes the forensic scientist,
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有時候再加上法醫學家
07:43
looks at the data that's coming out,
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共同研究
07:45
and they have a joint session.
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從CT機得到的數據.
07:47
And then they decide what to do in the real physical autopsy after that.
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由他們確定接下來實際屍檢的步驟.
07:52
Now looking at a few cases,
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現在我們來看一些真實案例.
07:54
here's one of the first cases that we had.
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這是早期案例中的一個.
07:56
You can really see the details of the data set.
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我們可以看到非常詳盡的數據,
07:59
It's very high-resolution,
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它們能提供很大的幫助.
08:01
and it's our algorithms that allow us
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然後我們利用電腦的邏輯演算
08:03
to zoom in on all the details.
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可以對所有想看到的細節進一步放大.
08:05
And again, it's fully interactive,
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這一次,同樣非常智能,
08:07
so you can rotate and you can look at things in real time
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這個系統中我們可以像實際屍檢一樣
08:09
on these systems here.
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根據需要對屍體進行旋轉.
08:11
Without saying too much about this case,
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對這個案例無需做過多的描述.
08:13
this is a traffic accident,
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這是一起交通意外,
08:15
a drunk driver hit a woman.
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司機醉酒駕駛,一名女性被撞.
08:17
And it's very, very easy to see the damages on the bone structure.
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大家可以很清楚看到骨架上所受創傷.
08:20
And the cause of death is the broken neck.
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死因是頸骨骨折.
08:23
And this women also ended up under the car,
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被害者當場死亡.
08:25
so she's quite badly beaten up
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撞擊發生時,
08:27
by this injury.
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死者受到重創.
08:29
Here's another case, a knifing.
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這裡是另一個案子.一起持刀行凶案.
08:32
And this is also again showing us what we can do.
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這一次我們來看看可以發現甚麼.
08:34
It's very easy to look at metal artifacts
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屍體體內的金屬人造物部分
08:36
that we can show inside of the body.
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非常明顯.
08:39
You can also see some of the artifacts from the teeth --
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你還可以看到牙齒裡也有一些人造物,
08:42
that's actually the filling of the teeth --
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那是補牙的填充物.
08:44
but because I've set the functions to show me metal
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這裡我設定了只顯示金屬,
08:47
and make everything else transparent.
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其他被自動屏蔽.
08:49
Here's another violent case. This really didn't kill the person.
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這是另一起暴力案件.這裡並不是致命傷.
08:52
The person was killed by stabs in the heart,
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真正死因是心臟被刺.
08:54
but they just deposited the knife
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後來兇手又把刀
08:56
by putting it through one of the eyeballs.
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插進了被害人的眼睛.
08:58
Here's another case.
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再來看另外一個案子.
09:00
It's very interesting for us
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能直觀看到諸如東西被刀刺破的樣子
09:02
to be able to look at things like knife stabbings.
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是很有意思的一件事情.
09:04
Here you can see that knife went through the heart.
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這裡你可以看到心臟被刀刺穿.
09:07
It's very easy to see how air has been leaking
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可以很清楚看到空氣
09:09
from one part to another part,
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從一個部位漏往另一個部位.
09:11
which is difficult to do in a normal, standard, physical autopsy.
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這在常規屍檢中是很難觀察到的.
09:14
So it really, really helps
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所以說,犯罪研究中,
09:16
the criminal investigation
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虛擬屍檢可以幫助
09:18
to establish the cause of death,
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判斷死者真實死因,
09:20
and in some cases also directing the investigation in the right direction
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以及必要時候幫助建立正確的
09:23
to find out who the killer really was.
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緝凶方向.
09:25
Here's another case that I think is interesting.
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接下來也是一個很有意思的案子.
09:27
Here you can see a bullet
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這裡可以看到有一顆子彈.
09:29
that has lodged just next to the spine on this person.
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子彈是擦著脊柱飛入的.
09:32
And what we've done is that we've turned the bullet into a light source,
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接著我們把這顆子彈變成一個發光體,
09:35
so that bullet is actually shining,
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子彈變成發光體後
09:37
and it makes it really easy to find these fragments.
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要找子彈碎片就容易多了.
09:40
During a physical autopsy,
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如果在實際屍檢中,
09:42
if you actually have to dig through the body to find these fragments,
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要從屍體中搜尋出這些彈片
09:44
that's actually quite hard to do.
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可謂相當困難.
09:48
One of the things that I'm really, really happy
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今天還有一樣
09:50
to be able to show you here today
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我非常想展示給大家的東西,
09:53
is our virtual autopsy table.
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就是我們的虛擬驗屍檯.
09:55
It's a touch device that we have developed
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這其實是一套觸屏設備
09:57
based on these algorithms, using standard graphics GPUs.
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配置有普通顯示卡,加上電腦邏輯演算開發而得.
10:00
It actually looks like this,
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大家可以看得更清楚一點
10:02
just to give you a feeling for what it looks like.
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就是這個樣子.
10:05
It really just works like a huge iPhone.
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用起來就像一個放大版的iPhone.
10:08
So we've implemented
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在模擬驗屍檯上
10:10
all the gestures you can do on the table,
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你可以做任何實際驗屍中可能的操作,
10:13
and you can think of it as an enormous touch interface.
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你可以就把它當作一個大型觸屏.
10:17
So if you were thinking of buying an iPad,
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所以如果你有想買個iPad,
10:19
forget about it. This is what you want instead.
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別管iPad了, 這個才是你想要的.
10:22
Steve, I hope you're listening to this, all right.
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史提夫(蘋果公司現任董事長),聽到了吧
10:26
So it's a very nice little device.
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這真的是一個很有意思的玩意
10:28
So if you have the opportunity, please try it out.
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有機會你們一定要試一下
10:30
It's really a hands-on experience.
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這個是非親身體驗不能明白的.
10:33
So it gained some traction, and we're trying to roll this out
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它已經獲得了一定認可,我們正在準備它的首次亮相,
10:36
and trying to use it for educational purposes,
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希望能把它應用到相關教學中
10:38
but also, perhaps in the future,
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同時,也希望在將來,
10:40
in a more clinical situation.
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能將它應用到臨床醫學中去.
10:43
There's a YouTube video that you can download and look at this,
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如果大家想把虛擬驗屍檯
10:45
if you want to convey the information to other people
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介紹給其他人知道的話,
10:47
about virtual autopsies.
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這次演講的影片可以在YouTube下載到.
10:50
Okay, now that we're talking about touch,
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好了,說到觸得到
10:52
let me move on to really "touching" data.
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接下來我們來看一些真正觸得到的數據.
10:54
And this is a bit of science fiction now,
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這個聽起來還有一點科幻,
10:56
so we're moving into really the future.
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因為我們現在要先進入未來的景象.
10:59
This is not really what the medical doctors are using right now,
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現在的醫生並沒有真的在使用這種儀器,
11:02
but I hope they will in the future.
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但是我希望以後能夠.
11:04
So what you're seeing on the left is a touch device.
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屏幕左側是一個觸控裝置.
11:07
It's a little mechanical pen
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一隻觸控筆.
11:09
that has very, very fast step motors inside of the pen.
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筆裡面置有高速步進電動機,
11:12
And so I can generate a force feedback.
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能通過力反饋信號模擬出”真實”的觸感.
11:14
So when I virtually touch data,
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用這支筆觸碰這些虛擬數據,
11:16
it will generate forces in the pen, so I get a feedback.
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會在筆中生成觸力信號從而得到力反饋效果.
11:19
So in this particular situation,
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這次示範中
11:21
it's a scan of a living person.
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使用的是一套活人掃描數據.
11:23
I have this pen, and I look at the data,
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我拿著筆, 掃描數據在我面前.
11:26
and I move the pen towards the head,
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把筆伸向掃瞄出的頭部影像
11:28
and all of a sudden I feel resistance.
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我立刻就能感覺到所遇到的阻礙.
11:30
So I can feel the skin.
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我感覺到了皮膚的阻礙.
11:32
If I push a little bit harder, I'll go through the skin,
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繼續用力, 穿透皮膚
11:34
and I can feel the bone structure inside.
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就能感覺到裡面的骨骼構架.
11:37
If I push even harder, I'll go through the bone structure,
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如果再加點力,就能穿過骨骼,
11:39
especially close to the ear where the bone is very soft.
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尤其是在耳朵附近軟骨部分做這個實驗的話.
11:42
And then I can feel the brain inside, and this will be the slushy like this.
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穿過骨骼,能感覺到大腦內部存在,到處黏糊糊的.
11:45
So this is really nice.
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這玩意真的不錯.
11:47
And to take that even further, this is a heart.
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接下來進一步我們來看心臟.
11:50
And this is also due to these fantastic new scanners,
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這又得歸功於那些新一代掃描儀,
11:53
that just in 0.3 seconds,
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短短0.3秒
11:55
I can scan the whole heart,
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就掃描完了整個心臟.
11:57
and I can do that with time resolution.
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時間分辨率極高.
11:59
So just looking at this heart,
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大家請先看這個心臟,
12:01
I can play back a video here.
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接下來我為大家放一段視頻.
12:03
And this is Karljohan, one of my graduate students
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這是卡爾約安,我的一個研究生
12:05
who's been working on this project.
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他也是這個研究項目中的一員.
12:07
And he's sitting there in front of the Haptic device, the force feedback system,
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他正坐在這套力反饋系統觸覺設備前面,
12:10
and he's moving his pen towards the heart,
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用觸控筆研究那顆心臟.
12:13
and the heart is now beating in front of him,
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這心臟就在他眼前勃勃跳動.
12:15
so he can see how the heart is beating.
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拿著筆他就能檢查這顆心臟跳動是否正常.
12:17
He's taken the pen, and he's moving it towards the heart,
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現在他正拿著觸控筆,把它移近心臟,
12:19
and he's putting it on the heart,
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然後放在心臟表面,
12:21
and then he feels the heartbeats from the real living patient.
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感受來自那位患者的真實心跳.
12:24
Then he can examine how the heart is moving.
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這樣他就可以對患者的心臟機能進行檢查.
12:26
He can go inside, push inside of the heart,
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他還可以把筆伸進心臟裡面
12:28
and really feel how the valves are moving.
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切切實實的感受心臟瓣膜是如何一張一翕.
12:31
And this, I think, is really the future for heart surgeons.
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我想這個正是心臟外科醫生所需要的.
12:34
I mean it's probably the wet dream for a heart surgeon
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有了這項技術,恐怕這些醫生們作夢也會笑醒.
12:37
to be able to go inside of the patient's heart
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這樣醫生們就能夠
12:40
before you actually do surgery,
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在實際外科手術前深入觀察患者心臟,
12:42
and do that with high-quality resolution data.
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並且有高度精確的數據做保證.
12:44
So this is really neat.
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非常值得期待.
12:47
Now we're going even further into science fiction.
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現在我們來講一點更科幻的東西.
12:50
And we heard a little bit about functional MRI.
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大家大概都聽說過功能磁共振成像.
12:53
Now this is really an interesting project.
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這是一個非常有意思的研究項目.
12:56
MRI is using magnetic fields
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磁共振成像的原理是利用磁場
12:58
and radio frequencies
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和射頻脈衝
13:00
to scan the brain, or any part of the body.
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對大腦或身體其他部位進行掃描.
13:03
So what we're really getting out of this
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通常我們可以通過磁共振成像
13:05
is information of the structure of the brain,
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得到大腦結構的信息
13:07
but we can also measure the difference
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當然利用磁共振也可以測出
13:09
in magnetic properties of blood that's oxygenated
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含氧血和不含氧血
13:12
and blood that's depleted of oxygen.
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的不同磁性.
13:15
That means that it's possible
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這就意味著
13:17
to map out the activity of the brain.
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我們可以繪製出大腦活躍區域圖.
13:19
So this is something that we've been working on.
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這正是我們現在在研究的東西.
13:21
And you just saw Motts the research engineer, there,
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這裡大家可以看到我們的研究工程師默特
13:24
going into the MRI system,
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戴著護目鏡
13:26
and he was wearing goggles.
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進入到磁共振成像設備.
13:28
So he could actually see things in the goggles.
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他可以從護目鏡上獲得外界的信息.
13:30
So I could present things to him while he's in the scanner.
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所以他在掃描儀裡時我就從外界向他傳遞信息.
13:33
And this is a little bit freaky,
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這其實有一點詭異,
13:35
because what Motts is seeing is actually this.
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因為默特看到的其實是這個
13:37
He's seeing his own brain.
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他自己的大腦.
13:40
So Motts is doing something here,
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圖像顯示出默特並不是安安靜靜躺著的.
13:42
and probably he is going like this with his right hand,
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他大概在用右手做這個動作,
13:44
because the left side is activated
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因為大腦的左半球運動皮層
13:46
on the motor cortex.
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處於活躍狀態.
13:48
And then he can see that at the same time.
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他自己也能同步看到這些畫面.
13:50
These visualizations are brand new.
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這些可視化技術還相當新,
13:52
And this is something that we've been researching for a little while.
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但我們對其研究已經進行了一段時間.
13:55
This is another sequence of Motts' brain.
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這是另一次默特大腦的成像.
13:58
And here we asked Motts to calculate backwards from 100.
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這次成像我們讓默特從100開始倒數.
14:01
So he's going "100, 97, 94."
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於是他開始倒數 “100, 97, 94”
14:03
And then he's going backwards.
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一直數一直數.
14:05
And you can see how the little math processor is working up here in his brain
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大家可以看到大腦在進行這個簡單數學演算
14:08
and is lighting up the whole brain.
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漸漸的整個大腦都活躍起來.
14:10
Well this is fantastic. We can do this in real time.
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看起來非常有意思,哪天我們自己也可以試試.
14:12
We can investigate things. We can tell him to do things.
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我們還可以指示默特做特定動作來做一些研究.
14:14
You can also see that his visual cortex
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大家可以看到他大腦後側
14:16
is activated in the back of the head,
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視覺皮層活躍起來了,
14:18
because that's where he's seeing, he's seeing his own brain.
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因為他自己正在看那裡,看自己的大腦.
14:20
And he's also hearing our instructions
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同時他又在聽從我們的指令
14:22
when we tell him to do things.
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進行動作.
14:24
The signal is really deep inside of the brain as well,
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雖然大腦信號是在大腦深處傳遞,
14:26
and it's shining through,
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但它可以通過成像凸顯出來.
14:28
because all of the data is inside this volume.
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因為所有的數據都集中在活躍區域.
14:30
And in just a second here you will see --
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接下來大家就會觀察到變化----
14:32
okay, here. Motts, now move your left foot.
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好,就是這裡.默特,動一下你的左腿.
14:34
So he's going like this.
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好,就是這裡.默特,動一下你的左腿.
14:36
For 20 seconds he's going like that,
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持續了大約20秒,
14:38
and all of a sudden it lights up up here.
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於是突然大腦這一部分顏色鮮艷起來.
14:40
So we've got motor cortex activation up there.
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大腦運動皮層活躍了.
14:42
So this is really, really nice,
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非常,非常不錯.
14:44
and I think this is a great tool.
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這真的是一個非常厲害的工具.
14:46
And connecting also with the previous talk here,
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和前面所作演講結合起來看的話,
14:48
this is something that we could use as a tool
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利用這個工具
14:50
to really understand
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我們可以直觀地觀察到
14:52
how the neurons are working, how the brain is working,
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神經系統是如何工作, 大腦是如何工作,
14:54
and we can do this with very, very high visual quality
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而且這樣的觀察是高度可視化的,
14:57
and very fast resolution.
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同時也具有高速分辨力.
15:00
Now we're also having a bit of fun at the center.
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最近我們中心也做了一些很有意思的研究.
15:02
So this is a CAT scan -- Computer Aided Tomography.
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這是台CAT掃描儀----計算機輔助斷層攝影.
15:06
So this is a lion from the local zoo
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這是瑞典諾爾雪平市郊
15:08
outside of Norrkoping in Kolmarden, Elsa.
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動物園裡的一頭獅子.
15:11
So she came to the center,
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工作人員把她送到我們中心
15:13
and they sedated her
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給她打了鎮靜劑
15:15
and then put her straight into the scanner.
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然後把她放平送進掃描儀.
15:17
And then, of course, I get the whole data set from the lion.
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接著就得到了這頭獅子的一套完整數據集.
15:20
And I can do very nice images like this.
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我們可以得到像這樣的清晰圖像,
15:22
I can peel off the layer of the lion.
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也可以把獅子的表皮剖開
15:24
I can look inside of it.
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觀察她的內部結構.
15:26
And we've been experimenting with this.
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我們確實有這樣做過實驗.
15:28
And I think this is a great application
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我想這也是未來對這種技術
15:30
for the future of this technology,
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的某種絕好應用.
15:32
because there's very little known about the animal anatomy.
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因為目前我們對動物解剖依然知之甚少.
15:35
What's known out there for veterinarians is kind of basic information.
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對獸醫來說這些都是亟需掌握的基本信息.
15:38
We can scan all sorts of things,
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基本上所有東西都能拿來掃描,
15:40
all sorts of animals.
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所有動物都可以,
15:42
The only problem is to fit it into the machine.
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只要能塞進掃描儀.
15:45
So here's a bear.
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於是一頭熊就出現了.
15:47
It was kind of hard to get it in.
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把牠塞進掃描儀稍微費了點功夫.
15:49
And the bear is a cuddly, friendly animal.
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這頭熊倒是非常溫順,討人喜歡.
15:52
And here it is. Here is the nose of the bear.
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掃描結果出來了.這是熊的鼻子.
15:55
And you might want to cuddle this one,
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對著這個鼻子也許你還想去摸摸,
15:58
until you change the functions and look at this.
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調整設置顯示成這樣以後大概就不想了.
16:01
So be aware of the bear.
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所以對熊還是要小心一點好.
16:03
So with that,
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結束前,
16:05
I'd like to thank all the people
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我要感謝
16:07
who have helped me to generate these images.
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所有幫助我整理這些圖片的人.
16:09
It's a huge effort that goes into doing this,
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你們花費了很大精力來完成這些,
16:11
gathering the data and developing the algorithms,
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收集數據,優化算法,
16:14
writing all the software.
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編寫所有需要的軟體.
16:16
So, some very talented people.
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你們都極具天賦.
16:19
My motto is always, I only hire people that are smarter than I am
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我一直堅持:只雇用比我聰明的人,
16:22
and most of these are smarter than I am.
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這些人就幾乎人人比我聰明.
16:24
So thank you very much.
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謝謝各位.
16:26
(Applause)
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(掌聲)
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