Vessel-based registration method for eye fundus image and SD-OCT projection image

A technology of SD-OCT and projected images, which is applied in image analysis, image data processing, instruments, etc., and can solve problems such as high computational complexity

Inactive Publication Date: 2014-05-21
NANJING UNIV OF SCI & TECH
View PDF5 Cites 54 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the computational complexity of this method is high

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
  • Vessel-based registration method for eye fundus image and SD-OCT projection image
  • Vessel-based registration method for eye fundus image and SD-OCT projection image
  • Vessel-based registration method for eye fundus image and SD-OCT projection image

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0088] to combine figure 1 , the blood vessel-based fundus image of the present invention and the SD-OCT projection image registration method comprise the following steps:

[0089] Step 1. Collect color fundus images and three-dimensional SD-OCT retinal images;

[0090] Step 2, use the retinal tissue layer segmentation algorithm based on dual gradient information and spatial constraint information to perform IS-OS layer and RPE layer segmentation on the SD-OCT retinal image; specifically:

[0091] Step 2-1, using a three-dimensional block matching denoising algorithm based on non-local means to denoise the SD-OCT image, and then using an edge flow-based method to extract the edge of the retinal image, the pixel value of the edge is 255, Others have a black background;

[0092] Step 2-2. For each A-scan of the result of step 2-1, search for the first pixel with a value of 255 from top to bottom, and extract the ILM boundary; the A-scan represents the column of the image, and ...

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 vessel-based automatic registration method for an eye fundus image and a spectral-domain optical coherence tomography (SD-OCT) projection image, belonging to the technical field of image processing. The method comprises the following steps: performing tissue layer segmentation on an input SD-OCT image, locating the upper boundary of a photoreceptor inner-segment / outer segment (IS-OS) layer and the lower boundary of a retinal pigment epithelium (RPE), generating an SD-OCT projection image according to the upper boundary of the IS-OS layer and the lower boundary of an RPE, and segmenting the SD-OCT projection image by using an improved level set method; segmenting a colored eye fundus image by using a morphology multi-scale top hat method; searching for the local maximum value of a maximum similar function by using an iteration blocking method to extract a control point, and calculating an affine variation coefficient according to the control point to realize registration of the SD-OCT projection vessel image and the colored eye fundus image. As proved by an experimental result, the image registration accuracy is high in different modes.

Description

technical field [0001] The invention relates to an image registration processing method, in particular to a registration method based on blood vessel fundus images and SD-OCT projection images. Background technique [0002] Fundus photography can quickly acquire color fundus images of different fields of view, while SD-OCT can effectively present subtle changes in retinal tissue layers (thickness changes, tissue layer structure changes), and different imaging devices can provide different image information. Image registration techniques can combine information from different devices. Image registration methods can be broadly divided into two categories: [0003] (1) Grayscale-based methods usually use the difference in image grayscale information to achieve image registration. Use image segmentation or measure based on correlation, mutual information, etc. as the objective function. However, grayscale-based methods tend to fall into a local minimum, and the search space o...

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): G06T7/00
Inventor 陈强牛四杰时佳佳陆圣陶
Owner NANJING UNIV OF SCI & TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap