TAIPEI | SEP. 21-22, 2016

Che-Lun Hung, 2016/9/21

MEDICAL IMAGE PROCESSING ON NVIDIA TK1/TX1

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AGENDA

Medical Image

Brain MRI Image Segmentation

Fuzzy C-Means Method on TK1/TX1

Genetic Fuzzy C-Means Method on Multiple TK1s

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MEDICAL IMAGE

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MEDICAL IMAGE

X-Ray

UltrasoundImage resource : wiki

CT MRI

Image Source: https://en.wikipedia.org/

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WHY NEED MEDICAL IMAGE PROCESSING?

9/26/16

Computer-aided diagnosis Description of LensionImage Source:

http://www.dailyherald.com/Image Source:

http://artificialintelligencefordummies.weebly.com/

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TK1/TX1

TK1Kepler

192 CUDA cores2G Memory

TX1Maxwell

256 CUDA cores4G Memory

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BRAIN MRI IMAGE SEGMENTATION

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BRAIN MRI IMAGE

Image Source: http://brainweb.bic.mni.mcgill.ca/brainweb/

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SEGMENTATION

Image Source: http://brainweb.bic.mni.mcgill.ca/brainweb/

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CLUSTERING METHODOLOGY

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SEGMENTATION FOR BRAIN MRI

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FUZZY C-MEANS METHOD ON TK1/TX1

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FUZZY C-MEANS METHOD

Jm = uijnd xi,θ j( )

j=1

c

∑i=1

n

∑

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EXPERIMENTAL PLATFORMS

TK1/TX1

The host (CPU) Intel Xeon E3-1231 v3 3.40GHz with 64GB RAM

Data Size 1150*1280

9/26/16

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SEGMENTATION RESULTS

Image Source: http://brainweb.bic.mni.mcgill.ca/brainweb/

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PERFORMANCE

1

7.2

12.9

0

2

4

6

8

10

12

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IntelE3CPU TK1GPU TX1

Speedup

Platform

IMG Size= 1150*1280

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DIFFERENT PRECISION FORMAT

5.93

2.22

3.81

1.42

0

1

2

3

4

5

6

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TK1GPUdouble TK1GPUfloat TX1GPUdouble TX1GPUfloat

Time(seconds)

Platform

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TK1/TX1 MAXIMUM PERFORMANCE MODE

5.93

2.22

3.81

1.42

5.45

2.15

3.69

1.39

0

1

2

3

4

5

6

7

TK1GPUdouble TK1GPUfloat TX1GPUdouble TX1GPUfloat

Time(seconds)

Platform

Kernel time(Normal) Kernel time(HP)

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DIFFERENT MEMORY COPY MODES

2.15

1.39

2.38

1.5

2.37

1.45

0

0.5

1

1.5

2

2.5

TK1GPUfloat TX1GPUfloat

Time(s)

Platform

Kernel time Kernel time(Zero-copy) Kernel time(Unifiedmemory)

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GENETIC FUZZY C-MEANS METHOD ON MULTIPLE TK1S

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GENETIC FUZZY C-MEANS METHOD

Image Source: http://http://www.turingfinance.com/

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MESSAGE PASSING INTERFACE (MPI)

Image Source: https://computing.llnl.gov/tutorials/mpi/

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MULTIPLE GPUMPI+CUDA

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EXPERIMENTAL PLATFORMS

TK1/TX1

The hosts (CPU) Intel Xeon E5-2620 2.5GHz, E3-1231 V3 3.4GHz, and I7-4280K 3.7GHz.

Data Size 1150*1280

9/26/16

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DIFFERENT POPULATION SIZES

(a)

(b)

(c)

(d)

(e)

(f)

(a) population size = 30,(b) population size = 60,(c) population size = 90,(d) population size = 120,(e) population size = 150,(f) population size = 180.

Image Source: http://brainweb.bic.mni.mcgill.ca/brainweb/

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PERFORMANCE

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SUITABLE FOR ALL MEDICAL IMAGE PROCESSING TECHNOLOGIES?

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MAMMOGRAPHIC IMAGE

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TEXTURE-BASED IMAGE PROCESSING (1)

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TEXTURE-BASED IMAGE PROCESSING (2)127*127127*127127*127127*127 ……………127*127 127 * 127 threads

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EXPERIMENTAL PLATFORMS

TK1/TX1

The host (CPU) Intel Xeon E3-1231 v3 3.40GHz with 64GB RAM

Data Size 1123*1751

9/26/16

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PERFORMANCE

0

5000

10000

15000

20000

25000

30000

35000

Matlab with NVIDIA GTX 980

Matlab with Intel Xeon E3-1231

NVIDIA TX1 NVIDIA TK1

550 1752

20260

31469

Exec

utio

n ti

me(

s)

Device

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MORE POSSIBILITIES FOR GPU ON MEDICAL IMAGE PROCESSING

TAIPEI | SEP. 21-22, 2016

THANK YOU