A diffusion tensor-based neuroimaging method, device and magnetic resonance imaging device

An imaging method, diffusion tensor technology, applied in the field of neuroscience, which can solve problems such as too simple models

Active Publication Date: 2020-09-11
TSINGHUA UNIV
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Problems solved by technology

The second-order symmetric tensor is used to describe the diffusion motion in the voxel, that is, only six independent diffusion coefficients are used to describe the potentially very complicated anisotropic diffusion. From a mathematical point of view, this model is too simple

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  • A diffusion tensor-based neuroimaging method, device and magnetic resonance imaging device
  • A diffusion tensor-based neuroimaging method, device and magnetic resonance imaging device
  • A diffusion tensor-based neuroimaging method, device and magnetic resonance imaging device

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[0030] In order to make the objectives, technical solutions and advantages of the present invention clearer, the following further describes the present invention in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, but not to limit the present invention.

[0031] Such as figure 1 Shown is a flowchart of the neuroimaging method of the present invention, which includes the following steps:

[0032] Step S110: Determine the sampling plan and select multiple directions evenly distributed on the unit sphere (such as Figure 4 Among them, 12, 42, 162, 642, etc.), in each voxel, the attenuation of signal strength in these directions is measured using existing technology. Such as magnetic resonance imaging (MRI).

[0033] Step S120: Calculate the dispersion coefficient D in each direction according to the signal attenuation strength obtained in step (1),

[...

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Abstract

The invention relates to the medical imaging technology, in particular to a diffusion tensor imaging method for processing nerve fiber reconstruction in a nerve complex distribution area, device and magnetic resonance equipment. A multivariate high-order tensor model is adopted to describe the diffusion motion in a voxel, and in combination of a high-order tensor decomposition theory, the directions of all fibers in the voxel are solved. The method disclosed in the invention is particularly suitable for reconstructing nerve fibers in the nerve complex distribution area and can effectively process nerve fiber bundle intersection, bifurcation and other conditions. The method, the device and the equipment have important application value in neuroscience, medical imaging and the like.

Description

Technical field [0001] The present invention relates to the fields of neuroscience, medical modeling, medical image processing, etc., in particular, to a diffusion tensor imaging method and corresponding image processing device for processing nerve fiber reconstruction in complex distribution areas of nerves, and a magnetic field containing the image processing device Resonance imaging equipment. The method and device are suitable for the study of brain structure and function based on diffusion tensor imaging, the reconstruction of nerve fibers, the diagnosis and treatment of diseases of the brain, heart and other parts, and the preoperative planning of clinical neurosurgery operations. Background technique [0002] Nuclear Magnetic Resonance (MR) is the most commonly used method for measuring dispersion motion in liquid environments. It applies a specific frequency radio frequency pulse to the sample in a static magnetic field, so that the hydrogen protons in the sample are exc...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/055
CPCA61B5/055G01R33/56341
Inventor 郑泉水史迪威
Owner TSINGHUA UNIV
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