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

Yu Ling Chen, Ting Hao Chen, Ting Yen Tsai, Chuan Bor Chueh, Yi Chun Wu, Meng Tsan Tsai, Cheng Kuang Lee, Hsiang Chieh Lee

研究成果: 圖書/報告稿件的類型會議稿件同行評審

摘要

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.

原文英語
主出版物標題Biomedical Imaging and Sensing Conference 2021
編輯Toyohiko Yatagai, Yoshihisa Aizu, Osamu Matoba, Yasuhiro Awatsuji, Yuan Luo
發行者SPIE
ISBN(電子)9781510647190
DOIs
出版狀態已出版 - 2021
事件Biomedical Imaging and Sensing Conference 2021 - Virtual, Online, 日本
持續時間: 20 04 202122 04 2021

出版系列

名字Proceedings of SPIE - The International Society for Optical Engineering
11925
ISSN(列印)0277-786X
ISSN(電子)1996-756X

Conference

ConferenceBiomedical Imaging and Sensing Conference 2021
國家/地區日本
城市Virtual, Online
期間20/04/2122/04/21

文獻附註

Publisher Copyright:
© COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

指紋

深入研究「Graphics Processing Unit (GPU) accelerated microvascular imaging framework with optical coherence tomography (OCT) and OCT angiography techniques」主題。共同形成了獨特的指紋。

引用此