A Nerve Fiber Skeleton Correction Method Based on l1 Norm Minimization Model

A technology of nerve fibers and correction methods, which is applied in the field of image processing and can solve the problem that the reconstruction result deviates from the real neural image, etc.

Active Publication Date: 2021-05-18
HUAZHONG UNIV OF SCI & TECH
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Aiming at the defects of the prior art, the purpose of the present invention is to solve the technical problem that the reconstruction result of the prior art deviates from the real neural image

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
  • A Nerve Fiber Skeleton Correction Method Based on l1 Norm Minimization Model
  • A Nerve Fiber Skeleton Correction Method Based on l1 Norm Minimization Model
  • A Nerve Fiber Skeleton Correction Method Based on l1 Norm Minimization Model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0045] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in 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, not to limit the present invention.

[0046] Such as figure 1 Shown, a kind of nerve fiber skeleton correction method based on L1 norm minimization model, described method comprises the following steps:

[0047] Step S1. Obtain the original image with distorted nerve fiber structure;

[0048]Step S2. Reconstruct the original image to obtain the initial skeleton of the nerve fiber to be corrected;

[0049] Step S3. Fix the two endpoints on the initial skeleton, and correct the positions of all nodes between the two endpoints based on the L1 norm minimization model.

[0050] Step S1. Acquiring the original image with distorted nerve f...

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 nerve fiber skeleton correction method based on an L1 norm minimization model, comprising: acquiring an original image with a distorted nerve fiber structure; reconstructing the original image to obtain an initial nerve fiber skeleton to be corrected; fixing the initial skeleton The two endpoints on , based on the L1 norm minimization model, correct the positions of all nodes between the two endpoints. The present invention corrects the nerve fiber skeleton through the L1 norm minimization model, and the constructed L1 norm minimization model includes two parts, one part is used to measure and calculate the signal value of the node, so as to ensure that the fiber skeleton point is as close as possible to its local signal in the real image. The other part uses the second-order difference between the skeleton points to reflect the smoothness of the fiber skeleton. While maintaining the smoothness of the fiber as much as possible, it retains the characteristics of the sparse distribution of the twisted structure of the real fiber. Compared with the existing L2 norm The correction method based on numerical model is more suitable for the correction of fibrous skeletons with distorted structures in real images.

Description

technical field [0001] The invention belongs to the field of image processing, and more specifically relates to a method for correcting nerve fiber skeletons based on an L1 norm minimization model. Background technique [0002] A neuron is a tree structure formed by a series of tubular fibers connected in a certain order, and its morphological reconstruction is to accurately quantify this tree structure, thereby providing quantitative and accurate research materials for neuroscience research. Existing advanced imaging and labeling methods have been able to provide near-complete images of fine nerve fibers. [0003] However, the complex fiber structure in neural images hinders the accurate acquisition of neuronal fiber skeleton. Specifically, there are many distorted structures with sudden changes in fiber direction in nerve fibers. Existing automatic reconstruction methods (such as the skeleton correction method based on the L2 norm model) still have difficulties in describ...

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 Patents(China)
IPC IPC(8): G06T5/00
Inventor 李诗玮周航黄青曾绍群全廷伟
Owner HUAZHONG 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