Fractional anisotropy microstructure characteristic extraction method based on kurtosis tensor and apparatus thereof

An anisotropic and feature extraction technology, applied in the field of image processing and medical equipment

Active Publication Date: 2016-08-10
TIANJIN UNIV
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Problems solved by technology

With the introduction of DKI, researchers at home and abroad have proposed a series of indicators to measure the anisotropy of water molecule diffusion based

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  • Fractional anisotropy microstructure characteristic extraction method based on kurtosis tensor and apparatus thereof
  • Fractional anisotropy microstructure characteristic extraction method based on kurtosis tensor and apparatus thereof
  • Fractional anisotropy microstructure characteristic extraction method based on kurtosis tensor and apparatus thereof

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Embodiment Construction

[0062] The present invention proposes a new indicator for describing the degree of anisotropy——kurtosis-tensor-based factional anisotropy (KTFA). This index is a parameter index obtained purely by extracting the properties of kurtosis tensor, which can be regarded as a natural extension of FA in the meaning of diffusion tensor. Compared with FA, KTFA can provide more unique and complementary information such as the direction and size of water molecule diffusion, so as to better reflect the microscopic properties of biological tissue structures.

[0063] The present invention proposes a parametric image extraction and analysis method based on kurtosis tensor (kurtosis tensor, KT) to extract the degree of anisotropy of water molecule diffusion in the brain, thereby reconstructing and quantifying the microscopic anisotropy of biological tissues. The technical process is as follows: the subject collects multi-b-value diffusion-weighted signals along multiple diffusion-sensitive gr...

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Abstract

The invention relates to the image processing and medical instrument technology field and provides a burgeoning parameter extraction method of biological tissue anisotropy detection, wherein the method is used for clinic application. An analysis method of reconstructing and quantizing a clear, refine and highly-stable biological-tissue microcosmic anisotropy characteristic and a correlation apparatus are obtained. In a technical scheme used in the invention, based on the kurtosis-tensor fractional anisotropy microstructure characteristic extraction method, a subject collects multiple b value diffusion weight images of tissues along a plurality of diffusion sensitivity gradient directions on a magnetic resonance scanner; after the diffusion weight images are preprocessed, in an individual space, a second-order diffusion tensor and a fourth-order kurtosis tensor matrix reflecting a water molecule diffusion distribution probability density function characteristic in the tissues are acquired through fitting; through matrix operation, the corresponding fractional anisotropy FA and kurtosis tensor fractional anisotropy KTFA are acquired; and combining a characteristic parameter, a nerve fiber microstructure characteristic is acquired. The method and the apparatus are mainly used in medical equipment designing and manufacturing.

Description

technical field [0001] The present invention relates to the technical fields of image processing and medical devices, in particular to a method and device for extracting microstructure features based on kurtosis tensor fractional anisotropy. Background technique [0002] The white matter of the brain is formed by the aggregation of nerve fibers that enter and exit the cerebral hemispheres and connect the two hemispheres of the brain. It contains various nerve bundles with different functions. Therefore, the white matter nerve fibers of the brain are an important medium for information transmission and encoding, controlling the sharing of neuron signals and coordinating the normal operation of information exchange between brain regions. Lesions or damage to them will seriously hinder the development of brain cognitive functions or cause dysfunction. degeneration and disease. Alzheimer's disease, depression, schizophrenia, neurofibrillary tangles-based neurofibrillary tangles...

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Application Information

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IPC IPC(8): G01R33/56A61B5/055
CPCA61B5/055G01R33/5608
Inventor 沙淼赵欣倪红艳陈元园刘亚男张雄明东
Owner TIANJIN UNIV
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