Analysis algorithm of macular region choroid membrane blood capillary density

Abstract

The invention provides an analysis algorithm of macular region choroid membrane blood capillary density. The analysis algorithm of the macular region choroid membrane blood capillary density comprisesthe steps that blood vessel artifacts of a choroid membrane blood capillary layer are removed by using the dissection characteristic of no blood perfusion in a retina outer layer; and the shielding action of a retina RPE is removed by extracting structural information of CC in optical coherence tomography, blood information in a retina deep vascular plexus is used as a threshold value setting basis of the CC, and the problems of retina artifacts, RPE shielding and threshold value setting subjectivization existing in existing CC blood capillary density calculation are solved.

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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