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

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: 2017-04-12
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 noise in magnetic resonance diffusion tensor imaging
  • Method and system for removing noise in magnetic resonance diffusion tensor imaging
  • Method and system for removing noise in magnetic resonance diffusion tensor imaging

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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 present invention provides a method and system for removing magnetic resonance diffusion tensor imaging noise. The method is based on the magnetic resonance diffusion weighted imaging model and the Gaussian distribution properties of sampling noise, utilizes the sparsity of the diffusion weighted image, and adopts maximum posterior probability estimation. The method directly obtains the denoised diffusion tensor matrix corresponding to each spatial position from K-space data. The present invention can avoid the impact of image denoising errors on diffusion tensor estimation, can more effectively suppress noise in the diffusion tensor, and improve the estimation accuracy of the diffusion tensor.

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 non-destructively evaluate tissue from the microscopic field. The integrity of the 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...

Claims

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Application Information

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Patent Type & Authority Patents(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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