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Magnetic resonance diffusion tensor denoising method and magnetic resonance diffusion tensor denoising system

A technique of diffusion tensor and magnetic resonance, applied in diagnostic recording/measurement, image data processing, medical science, etc., can solve problems affecting the image quality of diffusion parameters, suppress noise and improve 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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  • Magnetic resonance diffusion tensor denoising method and magnetic resonance diffusion tensor denoising system

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Embodiment Construction

[0031] 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 relative anisotropy of the diffusion, and based on the theoretical framework of maximum a posteriori probability estimation, directly acquires denoising from the collected K-space data The final diffusion tensor is used to realize magnetic resonance 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 su...

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Abstract

The invention provides a magnetic resonance diffusion tensor denoising method and a magnetic resonance diffusion tensor denoising system. The method is based on a magnetic resonance diffusion-weighted imaging model and the Gaussian distribution properties of sampled noise, and comprises obtaining a denoised diffusion tensor matrix corresponding to each spatial position from K spatial data directly by virtue of the sparsity of the diffusion relative anisotropy and by use of a maximum posterior probability estimation method. The denoising method is capable of avoiding the influence of the image denoising errors on diffusion tensor estimation, and further capable of more effectively inhibiting the noise in the diffusion tensor and improving the estimation accuracy of the diffusion tensor.

Description

technical field [0001] The present invention relates to magnetic resonance imaging technology, in particular to a magnetic resonance diffusion tensor denoising method and system. 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 resolution. Another...

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Application Information

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