Open Access
2 November 2015 Statistical analysis of motion contrast in optical coherence tomography angiography
Yuxuan Cheng, Li Guo, Cong Pan, Tongtong Lu, Tianyu Hong, Zhihua Ding, Peng Li
Author Affiliations +
Abstract
Optical coherence tomography angiography (Angio-OCT), mainly based on the temporal dynamics of OCT scattering signals, has found a range of potential applications in clinical and scientific research. Based on the model of random phasor sums, temporal statistics of the complex-valued OCT signals are mathematically described. Statistical distributions of the amplitude differential and complex differential Angio-OCT signals are derived. The theories are validated through the flow phantom and live animal experiments. Using the model developed, the origin of the motion contrast in Angio-OCT is mathematically explained, and the implications in the improvement of motion contrast are further discussed, including threshold determination and its residual classification error, averaging method, and scanning protocol. The proposed mathematical model of Angio-OCT signals can aid in the optimal design of the system and associated algorithms.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Yuxuan Cheng, Li Guo, Cong Pan, Tongtong Lu, Tianyu Hong, Zhihua Ding, and Peng Li "Statistical analysis of motion contrast in optical coherence tomography angiography," Journal of Biomedical Optics 20(11), 116004 (2 November 2015). https://doi.org/10.1117/1.JBO.20.11.116004
Published: 2 November 2015
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CITATIONS
Cited by 35 scholarly publications and 1 patent.
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KEYWORDS
Optical coherence tomography

Angiography

Statistical analysis

Advanced distributed simulations

Scattering

Blood circulation

Mathematical modeling

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