Parameter error estimation method and device of magnetic resonance diffusion tensor imaging

A diffusion tensor imaging and diffusion tensor technology, applied in image data processing, calculation, image enhancement, etc., can solve problems such as difficulty in estimating the error distribution of diffusion tensor imaging parameter maps

Active Publication Date: 2015-01-14
SHENZHEN INST OF ADVANCED TECH
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Problems solved by technology

Because the traditional MRI technology does not have a parameter error estimation meth

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  • Parameter error estimation method and device of magnetic resonance diffusion tensor imaging
  • Parameter error estimation method and device of magnetic resonance diffusion tensor imaging
  • Parameter error estimation method and device of magnetic resonance diffusion tensor imaging

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[0057] 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.

[0058] The parameter error estimation of the MRI diffusion tensor imaging needs to obtain the parameter error calculation model. Specifically, the establishment of the parameter error calculation model includes the following steps:

[0059] The diffusion parameter contained in the calculation formula of the average diffusion coefficient is converted into the trace of the diffusion tensor matrix, and the first calculation formula is obtained; the first calculation formula is substituted into the anisotropy coefficient calculation formula, and the anisotropy coefficient calculation formula contains D...

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Abstract

The invention provides a parameter error estimation method and device of magnetic resonance diffusion tensor imaging. The method comprises the steps that through magnetic resonance scanning, a diffusion weighted graph is collected; the diffusion tensor of each pixel point in the diffusion weighted graph is estimated according to the diffusion weighted graph; anisotropy coefficients and average diffusion coefficients are calculated according to the diffusion tensors; an error graph of the diffusion weighted graph is calculated; the errors of the diffusion tensors are calculated according to the diffusion tensors and the error graph of the diffusion weighted graph; the errors of the diffusion tensors, the anisotropy coefficients and the average diffusion coefficients are substituted into a preset parameter error calculation model to calculate and obtain the average diffusion coefficient errors and the anisotropy coefficient errors. According to the method and device, the distribution condition of the errors in a magnetic resonance diffusion imaging parameter graph can be visually expressed, and therefore image quality estimation of diffusion tensor imaging is facilitated.

Description

technical field [0001] The invention relates to the technical field of magnetic resonance imaging, in particular to a parameter error estimation method and device for magnetic resonance diffusion tensor imaging. Background technique [0002] Magnetic resonance diffusion tensor imaging (DTI) is a special form of magnetic resonance imaging, which uses the principle of anisotropy of free thermal motion of water molecules in tissues to detect the microstructure of tissues. As a new type of non-invasive detection technology, DTI can be used for imaging of nervous system, muscle and other tissues and organs, providing important imaging data for early diagnosis of multiple sclerosis, diffuse brain injury, liver tumor, myocardial infarction and other major diseases. [0003] The diffusion tensor imaging process is as follows: First, a set of data is acquired by magnetic resonance, including a T2-weighted image (generally called a b0 image) and a diffusion-weighted image (DWI) obtain...

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Application Information

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IPC IPC(8): G06T7/00A61B5/055
CPCG06T7/40G06T2207/10092G06T2207/30168
Inventor 梁栋朱燕杰彭玺刘新郑海荣
Owner SHENZHEN INST OF ADVANCED TECH
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