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Accelerating Fourier Domain Optical Coherence Tomography Using General Purpose Graphics Processing Units and Field Programmable Gate Arrays
| Content Provider | Semantic Scholar |
|---|---|
| Author | Li, Jian |
| Copyright Year | 2011 |
| Abstract | Fourier Domain Optical Coherence Tomography (FD-OCT) is an emerging biomedical imaging technology that provides ultra high resolution and a fast imaging speed. The complexity of the FD-OCT algorithm demands high processing power from the underlying platform. However, the scaling of faster data acquisition rates and 3-dimensional (3D) imaging on real time FD-OCT systems is quickly outpacing the performance growth of General Purpose Processors (GPPs). Our research investigates the scalability of two potential platforms for accelerating real time FD-OCT imaging — General Purpose Graphical Processing Units (GPGPUs) and Field Programmable Gate Arrays (FPGAs). We implemented a complete FD-OCT system using a NVIDIA GPGPU as co-processor, with a speed up of 6.9x over GPPs. We also created a hardware processing engine using FPGAs, which can deliver more than twice the throughput rate over the GPGPU platform with 1024point FFT. Our analysis on the performance and scalability for both platforms shows that, while GPGPUs offer an easy and low cost solution for accelerating FD-OCT, FPGAs are more likely to match the long term demands for real-time, 3D FD-OCT imaging. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://summit.sfu.ca/system/files/iritems1/11567/etd6450_JLi.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
