Motion analysis and removal in intensity variation based OCT microangiography

Xuan Liu; Mitchell Kirby; Feng Zhao

doi:10.1117/12.2078009

Motion analysis and removal in intensity variation based OCT microangiography

Xuan Liu, Mitchell Kirby, Feng Zhao

Electrical and Computer Engineering

Research output: Contribution to journal › Conference article › peer-review

Abstract

In this work, we demonstrated that bulk motion could lead to increased background in OCT microangiography image. Based on our motion analysis, we developed an adaptive thresholding method to reduce artifact in OCT microangiography caused by transient bulk motion. Motion artifact reduced microangiography was demonstrated in a 1.3μm spectral domain OCT system using graphic processing unit (GPU) for real-time signal processing. We conducted in vivo microvasculature imaging on human skin. Our results clearly show that the adaptive thresholding is highly effective in motion artifact removal.

Original language	English (US)
Article number	931232
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	9312
DOIs	https://doi.org/10.1117/12.2078009
State	Published - 2015
Event	Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XIX - San Francisco, United States Duration: Feb 8 2015 → Feb 11 2015

All Science Journal Classification (ASJC) codes

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Applied Mathematics
Electrical and Electronic Engineering
Computer Science Applications

Keywords

Digital image processing
Functional monitoring and imaging
Optical coherence tomography

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10.1117/12.2078009

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title = "Motion analysis and removal in intensity variation based OCT microangiography",

abstract = "In this work, we demonstrated that bulk motion could lead to increased background in OCT microangiography image. Based on our motion analysis, we developed an adaptive thresholding method to reduce artifact in OCT microangiography caused by transient bulk motion. Motion artifact reduced microangiography was demonstrated in a 1.3μm spectral domain OCT system using graphic processing unit (GPU) for real-time signal processing. We conducted in vivo microvasculature imaging on human skin. Our results clearly show that the adaptive thresholding is highly effective in motion artifact removal.",

keywords = "Digital image processing, Functional monitoring and imaging, Optical coherence tomography",

author = "Xuan Liu and Mitchell Kirby and Feng Zhao",

note = "Publisher Copyright: {\textcopyright} 2015 SPIE.; Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XIX ; Conference date: 08-02-2015 Through 11-02-2015",

year = "2015",

doi = "10.1117/12.2078009",

language = "English (US)",

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TY - JOUR

T1 - Motion analysis and removal in intensity variation based OCT microangiography

AU - Liu, Xuan

AU - Kirby, Mitchell

AU - Zhao, Feng

PY - 2015

Y1 - 2015

N2 - In this work, we demonstrated that bulk motion could lead to increased background in OCT microangiography image. Based on our motion analysis, we developed an adaptive thresholding method to reduce artifact in OCT microangiography caused by transient bulk motion. Motion artifact reduced microangiography was demonstrated in a 1.3μm spectral domain OCT system using graphic processing unit (GPU) for real-time signal processing. We conducted in vivo microvasculature imaging on human skin. Our results clearly show that the adaptive thresholding is highly effective in motion artifact removal.

AB - In this work, we demonstrated that bulk motion could lead to increased background in OCT microangiography image. Based on our motion analysis, we developed an adaptive thresholding method to reduce artifact in OCT microangiography caused by transient bulk motion. Motion artifact reduced microangiography was demonstrated in a 1.3μm spectral domain OCT system using graphic processing unit (GPU) for real-time signal processing. We conducted in vivo microvasculature imaging on human skin. Our results clearly show that the adaptive thresholding is highly effective in motion artifact removal.

KW - Digital image processing

KW - Functional monitoring and imaging

KW - Optical coherence tomography

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DO - 10.1117/12.2078009

M3 - Conference article

AN - SCOPUS:84985905250

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VL - 9312

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

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

M1 - 931232

T2 - Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XIX

Y2 - 8 February 2015 through 11 February 2015

ER -

Motion analysis and removal in intensity variation based OCT microangiography

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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