Statistical analysis of motion contrast in optical coherence tomography angiography

被引：49

作者：

Cheng, Yuxuan ^{[1
,2
]}

Guo, Li ^{[1
,2
]}

Pan, Cong ^{[1
,2
]}

Lu, Tongtong ^{[1
,2
]}

Hong, Tianyu ^{[3
]}

Ding, Zhihua ^{[1
,2
]}

Li, Peng ^{[1
,2
]}

机构：

[1] Zhejiang Univ, Coll Opt Sci & Engn, State Key Lab Modern Opt Instrumentat, Hangzhou 310027, Zhejiang, Peoples R China

[2] Collaborat Innovat Ctr Brain Sci, Hangzhou 310027, Zhejiang, Peoples R China

[3] Zhejiang Univ, Coll Biomed Engn & Instrument Sci, Hangzhou 310027, Zhejiang, Peoples R China

来源：

JOURNAL OF BIOMEDICAL OPTICS | 2015年 / 20卷 / 11期

基金：

中国国家自然科学基金;

关键词：

medical and biological imaging; optical coherence tomography; statistical optics; VISUALIZATION; MICROVASCULATURE; INTENSITY; RETINA;

D O I：

10.1117/1.JBO.20.11.116004

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

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. (C) The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License.

引用

页数：10

共 32 条

[1] Using ultrahigh sensitive optical microangiography to achieve comprehensive depth resolved microvasculature mapping for human retina [J].