Paper
27 October 2021 Graphics Processing Unit (GPU) accelerated microvascular imaging framework with optical coherence tomography (OCT) and OCT angiography techniques
Author Affiliations +
Abstract
Recently, the functional extension of optical coherence tomography (OCT) with OCT angiography (OCTA) allows volumetric imaging of the subsurface microvasculature without requiring exogenous contrast agents like conventional angiography techniques. However, performing OCTA requires intensive computation to extract the changes of OCT signal due to moving red blood cells in the microvascular network. In this study, we have developed a graphic processing unit (GPU)-accelerated framework to realize high speed OCTA imaging and the visualization of the microvascular network after the data acquisition. In addition, we investigate the feasibility of providing real-time microvascular imaging leveraging dynamic scattering OCT and GPU.
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Yu-Ling Chen, Ting-Hao Chen, Ting-Yen Tsai, Chuan-Bor Chueh, Yi-Chun Wu, Meng-Tsan Tsai, Cheng-Kuang Lee, and Hsiang-Chieh Lee "Graphics Processing Unit (GPU) accelerated microvascular imaging framework with optical coherence tomography (OCT) and OCT angiography techniques", Proc. SPIE 11925, Biomedical Imaging and Sensing Conference 2021, 1192517 (27 October 2021); https://doi.org/10.1117/12.2615846
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KEYWORDS
Optical coherence tomography

Angiography

Graphics processing units

Optical imaging

Biomedical optics

Algorithm development

Blood

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