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A Method for Obtaining Physiological Parameters in Retinal OCT Images Based on Dynamic Constrained Graph Search

A technology of dynamic constraints and physiological parameters, applied in image data processing, image analysis, image enhancement and other directions, can solve the problems of inaccuracy, waste of time, measurement of differences in human cognitive level, etc., to achieve accurate and robust measurement and accurate effect. Effect

Active Publication Date: 2020-02-07
SUZHOU BIGVISION MEDICAL TECH CO LTD
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Problems solved by technology

[0002] At present, the existing retinal image analysis methods centered on the optic nerve head, especially the acquisition methods of some physiological parameters of the retina mainly rely on manual measurement, which is a waste of time, and due to differences in the cognitive level of the measurement people, the retinal Acquisition of a series of physiological parameters is slow and imprecise
At the same time, the few existing retinal image analysis and physiological parameter measurement algorithms at home and abroad can only obtain part of the parameter information, and the robustness and accuracy of the algorithm are not ideal

Method used

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  • A Method for Obtaining Physiological Parameters in Retinal OCT Images Based on Dynamic Constrained Graph Search
  • A Method for Obtaining Physiological Parameters in Retinal OCT Images Based on Dynamic Constrained Graph Search
  • A Method for Obtaining Physiological Parameters in Retinal OCT Images Based on Dynamic Constrained Graph Search

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Embodiment 1

[0031] figure 2 It is the retinal image and structure centered on the optic nerve head. The optic nerve head is located about 3 mm in the temporal side of the macular area of ​​the retina, with a diameter of about 1.5 mm. The visual fibers on the retina gather here and pass through the optic center here. The optic nerve head There is a small depression in the center, which is called the optic cup. The optic nerve head is the starting point where optic nerve fibers aggregate to form the optic nerve. There are no optic cells, so there is no vision, and it is a physiological blind spot in the field of vision. The reticular structure through which the optic nerve fibers pass to the optic center is called the cribriform plate. figure 1 The middle left picture is a slice of the retinal image centered on the optic papilla, and the right side is the labeled picture of each physiological region, in which the upper line of the middle depression is the layered surface of the first laye...

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Abstract

Provided is an algorithm for acquiring physiological parameters in a retinal OCT image based on a dynamic constraint graph search. The algorithm is characterized by comprising the following steps: S01: pre-processing an image: filtering and denoising a three-dimensional retinal OCT image with an optic nerve head as the center; S02: layering a retina: roughly separating out a first layer of the retina, acquiring dynamic constraint parameters, accurately separating out the first layer of the retina based on the dynamic constraint parameters, and performing alignment processing on the three-dimensional image; accurately separating out an eleventh layer of the retina; and accurately separating out a seventh layer and a ninth layer of the retina; S03: segmenting optic disk and optic cup areas; S04: segmenting an upper boundary of a cribriform plate; and S05: acquiring physiological parameter information in the retinal image. Based on the steps, a retinal OCT image with an optic nerve head as the center can be accurately segmented, so as to realize the algorithm for acquiring the relevant physiological parameters.

Description

technical field [0001] The invention relates to a method for acquiring physiological parameters in a retinal OCT image based on a dynamic constraint graph search, and belongs to the technical field of image processing and analysis. Background technique [0002] At present, the existing retinal image analysis methods centered on the optic nerve head, especially the acquisition methods of some physiological parameters of the retina mainly rely on manual measurement, which is a waste of time, and due to differences in the cognitive level of the measurement people, the retinal Acquisition of a series of physiological parameters is slow and imprecise. At the same time, the few existing retinal image analysis and physiological parameter measurement algorithms at home and abroad can only obtain part of the parameter information, and the robustness and accuracy of the algorithm are not ideal. Contents of the invention [0003] The technical problem to be solved by the present inv...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T7/12G06T7/162
CPCG06T7/0012G06T7/12G06T7/162G06T2207/10101G06T2207/20016G06T2207/20072G06T2207/30041
Inventor 陈新建张秀兰俞凯李飞
Owner SUZHOU BIGVISION MEDICAL TECH CO LTD
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