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

doi:10.1117/12.2615846

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

Department of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Biomedical Imaging and Sensing Conference 2021
Editors	Toyohiko Yatagai, Yoshihisa Aizu, Osamu Matoba, Yasuhiro Awatsuji, Yuan Luo
Publisher	SPIE
ISBN (Electronic)	9781510647190
DOIs	https://doi.org/10.1117/12.2615846
State	Published - 2021
Event	Biomedical Imaging and Sensing Conference 2021 - Virtual, Online, Japan Duration: 20 04 2021 → 22 04 2021

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	11925
ISSN (Print)	0277-786X
ISSN (Electronic)	1996-756X

Conference

Conference	Biomedical Imaging and Sensing Conference 2021
Country/Territory	Japan
City	Virtual, Online
Period	20/04/21 → 22/04/21

Bibliographical note

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

Keywords

Angiography
Graphic processing unit
Optical coherence tomography
Parallel computation

Access to Document

10.1117/12.2615846

Cite this

Chen, Y. L., Chen, T. H., Tsai, T. Y., Chueh, C. B., Wu, Y. C., Tsai, M. T., Lee, C. K., & Lee, H. C. (2021). Graphics Processing Unit (GPU) accelerated microvascular imaging framework with optical coherence tomography (OCT) and OCT angiography techniques. In T. Yatagai, Y. Aizu, O. Matoba, Y. Awatsuji, & Y. Luo (Eds.), Biomedical Imaging and Sensing Conference 2021 Article 1192517 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 11925). SPIE. https://doi.org/10.1117/12.2615846

Chen, Yu Ling ; Chen, Ting Hao ; Tsai, Ting Yen et al. / Graphics Processing Unit (GPU) accelerated microvascular imaging framework with optical coherence tomography (OCT) and OCT angiography techniques. Biomedical Imaging and Sensing Conference 2021. editor / Toyohiko Yatagai ; Yoshihisa Aizu ; Osamu Matoba ; Yasuhiro Awatsuji ; Yuan Luo. SPIE, 2021. (Proceedings of SPIE - The International Society for Optical Engineering).

@inproceedings{9b32b5b56e86472ca216773cabdc3078,

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

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.",

keywords = "Angiography, Graphic processing unit, Optical coherence tomography, Parallel computation",

author = "Chen, \{Yu Ling\} and Chen, \{Ting Hao\} and Tsai, \{Ting Yen\} and Chueh, \{Chuan Bor\} and Wu, \{Yi Chun\} and Tsai, \{Meng Tsan\} and Lee, \{Cheng Kuang\} and Lee, \{Hsiang Chieh\}",

note = "Publisher Copyright: {\textcopyright} COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.; Biomedical Imaging and Sensing Conference 2021 ; Conference date: 20-04-2021 Through 22-04-2021",

year = "2021",

doi = "10.1117/12.2615846",

language = "英语",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

publisher = "SPIE",

editor = "Toyohiko Yatagai and Yoshihisa Aizu and Osamu Matoba and Yasuhiro Awatsuji and Yuan Luo",

booktitle = "Biomedical Imaging and Sensing Conference 2021",

address = "美国",

}

Chen, YL, Chen, TH, Tsai, TY, Chueh, CB, Wu, YC, Tsai, MT, Lee, CK & Lee, HC 2021, Graphics Processing Unit (GPU) accelerated microvascular imaging framework with optical coherence tomography (OCT) and OCT angiography techniques. in T Yatagai, Y Aizu, O Matoba, Y Awatsuji & Y Luo (eds), Biomedical Imaging and Sensing Conference 2021., 1192517, Proceedings of SPIE - The International Society for Optical Engineering, vol. 11925, SPIE, Biomedical Imaging and Sensing Conference 2021, Virtual, Online, Japan, 20/04/21. https://doi.org/10.1117/12.2615846

Graphics Processing Unit (GPU) accelerated microvascular imaging framework with optical coherence tomography (OCT) and OCT angiography techniques. / Chen, Yu Ling; Chen, Ting Hao; Tsai, Ting Yen et al.
Biomedical Imaging and Sensing Conference 2021. ed. / Toyohiko Yatagai; Yoshihisa Aizu; Osamu Matoba; Yasuhiro Awatsuji; Yuan Luo. SPIE, 2021. 1192517 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 11925).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Graphics Processing Unit (GPU) accelerated microvascular imaging framework with optical coherence tomography (OCT) and OCT angiography techniques

AU - Chen, Yu Ling

AU - Chen, Ting Hao

AU - Tsai, Ting Yen

AU - Chueh, Chuan Bor

AU - Wu, Yi Chun

AU - Tsai, Meng Tsan

AU - Lee, Cheng Kuang

AU - Lee, Hsiang Chieh

N1 - Publisher Copyright: © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

KW - Angiography

KW - Graphic processing unit

KW - Optical coherence tomography

KW - Parallel computation

UR - https://www.scopus.com/pages/publications/85120441575

U2 - 10.1117/12.2615846

DO - 10.1117/12.2615846

M3 - 会议稿件

AN - SCOPUS:85120441575

T3 - Proceedings of SPIE - The International Society for Optical Engineering

BT - Biomedical Imaging and Sensing Conference 2021

A2 - Yatagai, Toyohiko

A2 - Aizu, Yoshihisa

A2 - Matoba, Osamu

A2 - Awatsuji, Yasuhiro

A2 - Luo, Yuan

PB - SPIE

T2 - Biomedical Imaging and Sensing Conference 2021

Y2 - 20 April 2021 through 22 April 2021

ER -

Chen YL, Chen TH, Tsai TY, Chueh CB, Wu YC, Tsai MT et al. Graphics Processing Unit (GPU) accelerated microvascular imaging framework with optical coherence tomography (OCT) and OCT angiography techniques. In Yatagai T, Aizu Y, Matoba O, Awatsuji Y, Luo Y, editors, Biomedical Imaging and Sensing Conference 2021. SPIE. 2021. 1192517. (Proceedings of SPIE - The International Society for Optical Engineering). doi: 10.1117/12.2615846

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

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Cite this