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Method and system for removing magnetic resonance diffusion tensor imaging noise

A technology of diffusion tensor imaging and diffusion tensor, applied in image enhancement, image data processing, diagnostic recording/measurement, etc., can solve problems affecting the image quality of diffusion parameters, achieve the effect of suppressing noise and improving estimation accuracy

Active Publication Date: 2015-05-06
SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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Problems solved by technology

This method is widely used, but the systematic error in the image denoising process may be further transmitted to the subsequent tensor calculation, which will affect the quality of various diffusion parameter images

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  • Method and system for removing magnetic resonance diffusion tensor imaging noise
  • Method and system for removing magnetic resonance diffusion tensor imaging noise
  • Method and system for removing magnetic resonance diffusion tensor imaging noise

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Embodiment Construction

[0036] The present invention is based on the magnetic resonance diffusion weighted imaging technology, utilizes the inherent characteristics (such as sparsity) of the diffusion tensor model and the diffusion weighted image, and based on the theoretical framework of maximum a posteriori probability estimation, directly obtains the denoised Diffusion tensor, so as to remove the noise of MRI diffusion tensor imaging. The MRI diffusion tensor imaging mentioned here is a new method different from the diffusion weighted imaging, which can be used to describe the brain structure. For example, if an MRI tracks hydrogen atoms in water molecules, then diffusion tensor imaging maps the direction in which water molecules move, and a diffusion tensor image (presented differently than previous images) can reveal brain tumors How to affect nerve cell connections, guiding medical personnel to perform brain surgery. It can also reveal subtle abnormal changes associated with stroke, multiple s...

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Abstract

The invention provides a method and system for removing magnetic resonance diffusion tensor imaging noise. The method is based on a magnetic resonance diffusion weighted imaging model and the Gaussian distribution character of sampling noise, the sparsity of a diffusion weighted image is utilized, a maximum posterior probability estimating method is adopted, and a denoised diffusion tensor matrix corresponding to each space position is directly obtained from K space data. According to the method and system, the influence of image denoising errors on diffusion tensor estimation can be eliminated, noise in the diffusion tensor can be restrained more effectively, and the estimation precision of the diffusion tensor can be improved.

Description

technical field [0001] The invention relates to magnetic resonance imaging technology, in particular to a method and system for removing noise in magnetic resonance diffusion tensor imaging. Background technique [0002] Diffusion Tensor Imaging (DTI) is a new imaging method developed on the basis of Diffusion Weighted Imaging (DWI). It uses the diffusion anisotropy of water molecules for imaging, and can nondestructively evaluate the The integrity of the organizational structure provides more information for the prevention, diagnosis and treatment of diseases. However, DTI requires longer scan times and has a lower signal-to-noise ratio than other MRI techniques. [0003] In order to improve the signal-to-noise ratio of diffusion tensor imaging, the more direct method is to take the average through multiple sampling and reduce the K-space sampling area. These methods have certain applications in practice, but will increase the scanning time and affect the spatial resoluti...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/055G06T5/00
CPCA61B5/0033A61B5/055A61B5/7203G06T5/70
Inventor 彭玺梁栋刘新郑海荣
Owner SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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