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  4. Graphics Processing Unit (GPU) accelerated microvascular imaging framework with optical coherence tomography (OCT) and OCT angiography techniques
 
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Graphics Processing Unit (GPU) accelerated microvascular imaging framework with optical coherence tomography (OCT) and OCT angiography techniques

Journal
Proceedings of SPIE - The International Society for Optical Engineering
Journal Volume
11925
Journal Issue
Art. No.1192517
ISBN
9781510647190
Date Issued
2021-01-01
Author(s)
Chen, Yu Ling
Chen, Ting Hao
Tsai, Ting Yen
Chueh, Chuan Bor
YI-CHUN WU  
Tsai, Meng Tsan
Lee, Cheng Kuang
Hsiang-Chieh Lee  
DOI
10.1117/12.2615846
URI
https://scholars.lib.ntu.edu.tw/handle/123456789/589916
URL
https://api.elsevier.com/content/abstract/scopus_id/85120441575
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.
Subjects
Angiography | Graphic processing unit | Optical coherence tomography | Parallel computation
SDGs

[SDGs]SDG3

Publisher
SPIE
Type
conference paper

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