An Analysis Algorithm for Choriocapillary Density in Macular Region

Abstract

An analysis algorithm for choriocapillary density in the macular area, which uses the anatomical property of no blood perfusion in the outer retina to remove vascular artifacts in the choriocapillary layer; eliminates by extracting the structural information of CC in optical coherence tomography The shielding effect of the retinal RPE, and the blood flow information of the deep retinal vascular plexus is used as the basis for setting the threshold of CC, which solves the retinal artifacts, RPE shielding and subjectivity of threshold setting in the calculation of capillary density in the existing CC The problem.

Description

technical field [0001] The invention specifically relates to the technical field of optical coherence tomography, and in particular to an analysis algorithm for choroidal capillary density in the macular area. Background technique [0002] Optical coherence tomography angiography (Optical Coherence Tomography Angiography, OCTA) is a non-contact, fast scanning, and high-resolution vascular imaging technique. Differences in motion in backscattered light are detected, reflecting movement of red blood cells in blood vessels, allowing non-invasive imaging of microvascular structures in the retina and choroid. Since the advent of OCTA, it has been rapidly adopted and applied to many ophthalmic diseases, such as neovascular age-related macular degeneration, diabetic retinopathy, macular telangiectasia, and glaucoma. Compared with contrast agent-based imaging methods such as fluorescein angiography (FA) and indocyanine green angiography (ICGA), OCTA has the advantage of providing d...

AI Technical Summary

Problems solved by technology

[0003] Different algorithms are used in the existing OCTA commercial equipment, such as amplitude-based information, phase-based information, and composite information-based, etc., to extract and detect blood flow information in tissues and accurately reflect retinal microvascular structural information; however, regardless of the algorithm obtained The blood flow images of the choriocapillary layer (CC) still have the following three problems: 1) There are inevitably artifacts of superficial vascular projections in the CC, which need to be corrected

[0011] The methods adopted by Professor David Huang's team and Professor Wang Ruikang's team comprehensively consider blood flow signals and structural signals, but the original data of OCTA commercial instruments are involved in the processing process, which is difficult to promote on a large scale; the method of Professor Wei Wenbin's team is relatively simple, only through Superficial retinal blood flow information is used to eliminate artifacts, but it lacks a certain degree of scientificity; in summary, the above three methods have not given an objective and reasonable method for setting the blood flow threshold of CC capillaries

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