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Method for estimating white matter fiber direction through diffusion magnetic resonance images

A magnetic resonance image, fiber direction technology, applied in the field of medical image processing, can solve the problem of low angular resolution, achieve the effect of improving angular resolution and improving the ability

Inactive Publication Date: 2013-11-27
INST OF AUTOMATION CHINESE ACAD OF SCI
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Problems solved by technology

[0008] The purpose of the present invention is to overcome the shortcomings of the low angular resolution of the existing method for estimating the direction of the white matter fibers of the brain using the OPDT model

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  • Method for estimating white matter fiber direction through diffusion magnetic resonance images
  • Method for estimating white matter fiber direction through diffusion magnetic resonance images
  • Method for estimating white matter fiber direction through diffusion magnetic resonance images

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Embodiment Construction

[0023] The present invention utilizes the prior knowledge that the radial part of the OPDF is a constant value function as a constraint item, and utilizes the radial part information of the OPDF provided by the OPDT model to reconstruct the radial part of the OPDF by converting it into a convex optimization problem, A new method for estimating the orientation of brain white matter fibers using diffusion magnetic resonance images and an improved OPDT model (iOPDT model) is presented.

[0024] figure 1 A flow diagram of the method of the invention is shown. like figure 1 As shown, the method of the present invention comprises the steps:

[0025] S1. Reading multiple diffusion magnetic resonance images of the brain.

[0026]According to the actual situation, preprocessing such as eddy current correction, head movement correction, and removal of non-brain tissue can be performed on the diffusion magnetic resonance image that needs to be analyzed, and then the preprocessed diffu...

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Abstract

The invention discloses a method for estimating the white matter fiber direction through diffusion magnetic resonance images. The method comprises the following steps of S1, reading a plurality of brain diffusion magnetic resonance images, S2, carrying out calculation of the radial direction part and the angle part of OPDF on the brain magnetic resonance images through an OPDT model, S3, building an iOPDT model according to the OPDF of the OPDT model, wherein the radial direction part of the iOPDT model is an average value of the integral of the radial direction part of the OPDT model on a sphere, and the angle part of the iOPDT model is the angle part of the OPDT model, and S4, substituting diffusion fading signals of the read diffusion magnetic resonance images to the iOPDT model to obtain values of the OPDF in any direction of the sphere. According to the method, through the improved OPDT model, the angular resolution of white matter fiber direction estimation is improved, and therefore the ability of distinguishing white matter fiber crossing is improved.

Description

technical field [0001] The invention relates to the field of medical image processing, in particular to a method for estimating the direction of white matter fibers in a single voxel of the brain by using a diffusion magnetic resonance image. Background technique [0002] High angular resolution diffusion imaging (HARDI) is a class of techniques that uses diffusion magnetic resonance images to estimate the orientation of white matter fibers in the brain. Directional probability density function transformation is a typical method in HARDI. It has the advantages of high accuracy and high noise immunity, but the angular resolution is low. The directional probability density function (OPDF) estimated by the directional probability density function transformation contains two parts, the radial part and the angular part, but the radial part contains a large error. [0003] Diffusion magnetic resonance imaging (dMRI) is a magnetic resonance technique that can detect the white matt...

Claims

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Application Information

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IPC IPC(8): G06T7/00A61B5/055
Inventor 蒋田仔张娜左年明
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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