Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Choroid vessel segmentation method and system based on three-dimensional coherent tomographic image

A technology of coherent tomography and tomographic images, applied in the field of quantitative analysis of 3D medical images, can solve the problems of inability to accurately segment 3D choroidal vessels and analyze choroidal structures, etc., to improve work accuracy and efficiency, and achieve high segmentation accuracy and repeatability Excellent effect

Active Publication Date: 2018-08-17
武汉华悦立远科技有限公司
View PDF5 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Existing quantitative analysis methods are either unable to analyze the choroidal structure, or can only perform incomplete analysis on the two-dimensional OCT interface, and they cannot accurately segment the three-dimensional choroidal vessels to calculate various clinical indicators based on the volume of the choroidal vessels

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Choroid vessel segmentation method and system based on three-dimensional coherent tomographic image
  • Choroid vessel segmentation method and system based on three-dimensional coherent tomographic image
  • Choroid vessel segmentation method and system based on three-dimensional coherent tomographic image

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention and are not intended to limit the invention.

[0028] Such as figure 1 As shown, the present invention provides a choroidal vessel segmentation method based on a three-dimensional coherence tomography image, specifically, the choroidal vessel segmentation method based on a three-dimensional coherence tomography image includes the following steps:

[0029] S1. Collect a three-dimensional frequency-domain coherent optical tomographic image, and use recursive Gaussian filtering and median filtering to eliminate noise information in the three-dimensional coherent tomographic image.

[0030] Firstly, the three-dimensional frequency-dom...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a choroid vessel segmentation method and system based on a three-dimensional coherent tomographic image. The method includes the steps of collecting the three-dimensional frequency domain coherent optical tomographic image; calculating a fundus radian model according to the space size represented by a single voxel point in the three-dimensional frequency domain coherent optical tomographic image and the actual size of the image; segmenting a retinal base Bruch's membrane from the fundus radian model by using a single-layer graph searching method; calculating the space tensor of each voxel point so as to obtain the point probability of the voxel point in a choroid vessel, and screening out a pre-selected area of the choroid vessel with the point probability value larger than zero; selecting out a point probability value larger than 75% and a point probability value less than 25% from the pre-selected area of the choroid vessel to serve as the high and low thresholds of the pre-selected area growth, so as to obtain the initial segmentation of the foreground and background of the initial segmentation of the choroid vessel, and solving the optimal model of a structure diagram according to the foreground and background of the choroid vessel to obtain the accurate segmentation of the choroid vessel.

Description

technical field [0001] The invention relates to a three-dimensional medical image quantitative analysis technology, in particular to a choroidal blood vessel segmentation method and system based on a three-dimensional coherent tomography image. Background technique [0002] Spectral-Domain Optical Coherence Tomography (SD-OCT) is an imaging technique that can produce three-dimensional micron-level precision images. Compared with traditional high-energy rays (X-ray, CT, etc.), OCT uses low-energy near-infrared light to provide non-invasive and non-invasive scanning imaging. It is the only technology that can realize three-dimensional human eye image reconstruction in vivo at this stage. During the imaging process, the detection light passes through the optic nerve fiber layer and the retinal pigment epithelial cell layer with high scattering properties before reaching the choroid, which leads to certain difficulties in OCT imaging of the choroid. In recent years, there have...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/194G06T5/00G06T7/136
CPCG06T7/136G06T7/194G06T2207/30101G06T2207/10076G06T2207/10081G06T2207/20032G06T5/70
Inventor 张立付峥
Owner 武汉华悦立远科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products