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Recovery processing method for diffusion tensor magnetic resonance image

A magnetic resonance image, recovery processing technology, applied in the field of medical diagnostic image processing, can solve the problems of useful information loss, element correlation cannot be preserved, etc.

Inactive Publication Date: 2008-08-06
SHANGHAI NORMAL UNIVERSITY
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AI Technical Summary

Problems solved by technology

Using this method to restore DTI vector images requires processing each element of the vector separately; the defect of this method is that since each element of the vector evolves independently, the correlation between elements cannot be preserved, resulting in the loss of a lot of useful information of the original image

Method used

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  • Recovery processing method for diffusion tensor magnetic resonance image
  • Recovery processing method for diffusion tensor magnetic resonance image
  • Recovery processing method for diffusion tensor magnetic resonance image

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Experimental program
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Embodiment 1

[0120] In this embodiment, the Signa 1.5T magnetic resonance system of GE Company is used to collect DTI images of the human brain first, and then perform restoration processing.

[0121] The images were obtained by DT-MRI imaging of the brain of a healthy adult.

[0122] In this embodiment, we perform weighted imaging with 6 weighted gradients on the human brain, and the imaging voxel is 256×256×45, that is, imaging is divided into 45 layers, and the image size of each layer is 256 mm×256 mm.

[0123] Fig. 1 is the original first gradient-weighted DWI image collected; Fig. 2 is the image after filtering the image information in Fig. 1 using the scalar affine invariant gradient diffusion method; Fig. 3 is the image information in Fig. 1 using this The Fang Ming method is used to restore the processed image.

[0124] Comparing the three figures, it can be seen in Figure 3 that the method of the present invention can remove most of the noise of the original image, so that the cla...

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Abstract

The invention discloses a method for recovery processing of a diffusion tensor magnetic resonance image, relating to the medical diagnosis image processing technical field. The technical proposal which is provided in order to overcome the defect in the prior art that a great deal of useful information is lost is as follows: firstly, image information is acquired; secondly, the image information is converted into vector image information; thirdly, layer number, a layer number counter, steplength, cycle index and so on are designed; fourthly, a cycle counter is designed to be 1; fifthly, H and J of the current layer number and the current cycle index are calculated; sixthly, affine invariable gradient Gaff and Euclid curvature k are calculated; seventhly, affine invariable anisotropy smooth values of a vector image are determined; eighthly, restored image information is calculated; ninthly to thirteenthly, the cycle index and the processing layer number are calculated and controlled, and then determination is made whether to stop. The invention has the advantages that: more useful information is reserved during the process of recovery processing of the image, and the image is made to be clearer and simpler and has more details.

Description

technical field [0001] The invention relates to the technical field of medical diagnosis image processing, in particular to a method for restoring a diffusion tensor magnetic resonance image. Background technique [0002] Diffusion tensor imaging (DTI) is a newly developed imaging technique that enables the non-invasive study of human tissue structures (for example, nerve fibers in the human brain) and diseases such as multiple sclerosis and stroke diagnosis is possible. In clinical practice, DTI images are polluted by Rice noise due to the influence of thermal noise in the patient's body. In order to facilitate post-processing such as tensor calculation and fiber tracking, the image needs to be restored first. [0003] At present, the mainstream of DTI image restoration is based on partial differential equation (partial differential equation, PDE) method. Now, the restoration of DTI images using PDE is based on the Euclidean gradient. Although the image restoration meth...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R33/565A61B5/055
Inventor 张相芬田蔚风叶宏李大志
Owner SHANGHAI NORMAL UNIVERSITY
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