title: Statistical analysis of motion contrast in optical coherence tomography angiography.
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.
authors.affiliation: Zhejiang University, College of Optical Science and Engineering, State Key Laboratory of Modern Optical Instrumentation and the Collaborative Innovation Center for Brain Science, Hangzhou, Zhejiang 310027, China.
authors.forename: Yuxuan
authors.initials: Y
authors.lastname: Cheng
authors.affiliation: Zhejiang University, College of Optical Science and Engineering, State Key Laboratory of Modern Optical Instrumentation and the Collaborative Innovation Center for Brain Science, Hangzhou, Zhejiang 310027, China.
authors.forename: Li
authors.initials: L
authors.lastname: Guo
authors.affiliation: Zhejiang University, College of Optical Science and Engineering, State Key Laboratory of Modern Optical Instrumentation and the Collaborative Innovation Center for Brain Science, Hangzhou, Zhejiang 310027, China.
authors.forename: Cong
authors.initials: C
authors.lastname: Pan
authors.affiliation: Zhejiang University, College of Optical Science and Engineering, State Key Laboratory of Modern Optical Instrumentation and the Collaborative Innovation Center for Brain Science, Hangzhou, Zhejiang 310027, China.
authors.forename: Tongtong
authors.initials: T
authors.lastname: Lu
authors.affiliation: Zhejiang University, College of Biomedical Engineering and Instrument Science, Hangzhou, Zhejiang 310027, China.
authors.forename: Tianyu
authors.initials: T
authors.lastname: Hong
authors.affiliation: Zhejiang University, College of Optical Science and Engineering, State Key Laboratory of Modern Optical Instrumentation and the Collaborative Innovation Center for Brain Science, Hangzhou, Zhejiang 310027, China.
authors.forename: Zhihua
authors.initials: Z
authors.lastname: Ding
authors.affiliation: Zhejiang University, College of Optical Science and Engineering, State Key Laboratory of Modern Optical Instrumentation and the Collaborative Innovation Center for Brain Science, Hangzhou, Zhejiang 310027, China.
authors.forename: Peng
authors.initials: P
authors.lastname: Li
mesh_terms: D000818:Animals; D001783:Blood Flow Velocity / Q000502:physiology*; D002533:Cerebral Angiography / Q000379:methods*; D002536:Cerebral Arteries / Q000033:anatomy & histology / Q000502:physiology*; D002560:Cerebrovascular Circulation / Q000502:physiology*; D003627:Data Interpretation, Statistical; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D051379:Mice; D008810:Mice, Inbred C57BL; D009038:Motion; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D041623:Tomography, Optical Coherence / Q000379:methods*