GRAPHICS PROCESSING UNIT ACCELERATED MEDICAL IMAGING Sam Van der Jeught

University of Antwerp

Belgium

New Challenges in the European Area: Young Scientist's 1st

International Baku Forum

20-25th

may 2013

2

Graphics processing units (GPU) as low-cost supercomputers

GT9800, $40USD on ebay

Multicore architecture GPU VS single (or double- or quad-) core CPU

Parallel programming!

3

Some applications: real-time geometric lens distortion correction

Go from input A to output B

Wide-angle lens systems suffer from

barrel distortion

1024x1024p @30 fps

4

Some applications: real-time geometric lens distortion correction

Apply general recalibration software to distorted image.

Coordinates now have floating point values

Scattered data interpolation resamples pixels onto integer grid.

Highly time consuming!

Regular 2D interpolation on incoming images

One-time scattered data interpolation on

integer grid of desired size

+

5

Some applications: real-time geometric lens distortion correction

After calibration, our algorithm also

works on random distortion (not

only barrel)

(+ video)

6

Some applications: real-time geometric lens distortion correction

7

Some applications: optical coherence tomography

I Ophthalmology

II Detect signature forgeries and hidden

layers in paintings

Interferometric imaging technique

using infrared light

(non-invasive, non- destructive, non-

contact)

8

Replace expensive FPGA DAQ board with low-cost GPU

Data processing boards can cost up to

>$1000 USD

Real-time data processing can be

achieved with $40 USD GPU

Commercial leaflet “Santec inc.”

9

Example real-time OCT

Real-time beating ant heart at 25 fps

versus 8 fps on CPU

(+video)

10

Example real-time OCT

11

• Real-time GPU-based data processing

• Considerably faster than CPU

• Low-cost alternative to data processing boards such as FPGA’s

Conclusion

12

Thank youQuestions?