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ID-OCTA: OCT angiography based on inverse SNR and decorrelation features
Journal of Innovative Optical Health Sciences ( IF 2.3 ) Pub Date : 2020-12-22 , DOI: 10.1142/s1793545821300019
Huakun Li 1 , Kaiyuan Liu 1 , Lin Yao 1 , Xiaofeng Deng 1 , Ziyi Zhang 1 , Peng Li 1
Affiliation  

Optical coherence tomography angiography (OCTA) takes the flowing red blood cells (RBCs) as intrinsic contrast agents, enabling fast and three-dimensional visualization of vasculature perfusion down to capillary level, without a requirement of exogenous fluorescent injection. Various motion-contrast OCTA algorithms have been proposed to effectively extract dynamic blood flow from static tissues utilizing the different components of OCT signals (including amplitude, phase and complex) with various operations (such as differential, variance and decorrelation). Those algorithms promote the application of OCTA in both clinical diagnosis and scientific research. The purpose of this paper is to provide a systematical review of OCTA based on the inverse SNR and decorrelation features (ID-OCTA), mainly including the OCTA contrast origins, ID-OCTA imaging, quantification and applications.

中文翻译:

ID-OCTA:基于逆 SNR 和去相关特征的 OCT 血管造影

光学相干断层扫描血管造影 (OCTA) 将流动的红细胞 (RBC) 作为内在造影剂,能够快速和三维地显示血管灌注到毛细血管水平,而无需外源性荧光注射。已经提出了各种运动对比度 OCTA 算法,以利用 OCT 信号的不同分量(包括幅度、相位和复数)和各种操作(例如微分、方差和去相关)有效地从静态组织中提取动态血流。这些算法促进了OCTA在临床诊断和科学研究中的应用。本文的目的是对基于逆信噪比和去相关特征(ID-OCTA)的 OCTA 进行系统综述,主要包括 OCTA 对比起源、ID-OCTA 成像、
更新日期:2020-12-22
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