Song, FengguangKriske, Jeffery Edward, Jr.Lee, JaehwanRaje, Rajeev2015-05-282015-05-282014-12https://hdl.handle.net/1805/6458http://dx.doi.org/10.7912/C2/2323Indiana University-Purdue University Indianapolis (IUPUI)Adaptive optics-optical coherence tomography (AO-OCT) is a non-invasive method of imaging the human retina in vivo. It can be used to visualize microscopic structures, making it incredibly useful for the early detection and diagnosis of retinal disease. The research group at Indiana University has a novel multi-camera AO-OCT system capable of 1 MHz acquisition rates. Until this point, a method has not existed to process data from such a novel system quickly and accurately enough on a CPU, a GPU, or one that can scale to multiple GPUs automatically in an efficient manner. This is a barrier to using a MHz AO-OCT system in a clinical environment. A novel approach to processing AO-OCT data from the unique multi-camera optics system is tested on multiple graphics processing units (GPUs) in parallel with one, two, and four camera combinations. The design and results demonstrate a scalable, reusable, extensible method of computing AO-OCT output. This approach can either achieve real time results with an AO-OCT system capable of 1 MHz acquisition rates or be scaled to a higher accuracy mode with a fast Fourier transform of 16,384 complex values.en-USAttribution 3.0 United StatesAdaptive Optics Optical Coherence TomographyOCTGPUCoherence (Optics) -- Research -- Analysis -- Evaluation -- MethodologyRetina -- Tomography -- ResearchDiagnostic imaging -- ResearchImage processing -- Digital techniques -- Research -- AnalysisImaging systems in medicineGraphics processing units -- ProgrammingHolography in medicine -- Research -- AnalysisOptics, Adaptive -- Research -- Analysis -- Evaluation -- MethodologyOptical pattern recognitionHigh performance computing -- ResearchParallel algorithms -- ResearchThesis