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Diffusion-kurtosis-imaging-based radial kurtosis anisotropic quantitative method

A technology of diffusion kurtosis and anisotropy, which can be used in measuring devices, measuring magnetic variables, instruments, etc., and can solve problems such as unresolved feature analysis.

Active Publication Date: 2017-09-29
TIANJIN UNIV
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Problems solved by technology

The diffusion tensor obtained in diffusion kurtosis imaging is a second-order tensor, while the kurtosis tensor is a fourth-order tensor, and its characteristic analysis has not been resolved

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Embodiment Construction

[0033] A method for quantifying radial kurtosis anisotropy based on diffusion kurtosis imaging of the present invention will be described in detail below with reference to the embodiments and accompanying drawings.

[0034] Such as figure 2 As shown, a radial kurtosis anisotropy quantitative method based on diffusion kurtosis imaging of the present invention comprises the following steps:

[0035] 1) Estimate the tensor from the original data through the diffusion kurtosis imaging model;

[0036] The original data includes: a non-diffusion-weighted imaging signal with b=0, several diffusion-weighted imaging signals with non-zero b values, and the imaging signals come from the same object. The acquisition of diffusion-weighted imaging signals is direction-dependent. In order to obtain more accurate structural information, the actual acquisition will carry out several (M>=2) diffusion-weighted imaging signal acquisitions with non-zero b values ​​in multiple directions (N>=15)...

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Abstract

The invention relates to a diffusion-kurtosis-imaging-based radial kurtosis anisotropic quantitative method. The method comprises: according to original data, a tensor is estimated by a diffusion kurtosis imaging model; according to a diffusion tensor matrix D, a radial plane is defined; distribution of a diffusion coefficient and a kurtosis coefficient in the radial plane are obtained; and anisotropy of a radial kurtosis Kp is calculated. According to the method provided by the invention, after preprocessing on a collected MRI signal, calculation is carried out based on the method to obtain a kurtosis distribution anisotropy index in the radial plane based on a diffusion tensor and a kurtosis tensor, wherein the index is capable of reflecting the structural geometrical characteristic of the object in the cross section and reflecting the structural characteristic that is more accurate than diffusion information. With the index, the neural white-matter microstructural abnormity, the non-uniform characteristic of the anisotropic elasticity at the cross section, tissue development, and pathogeny structure changing can be reflected precisely based on several kinds of analyses like a statistic analysis and a classification algorithm.

Description

technical field [0001] The invention relates to a quantitative method of radial kurtosis anisotropy. In particular, it relates to a radial kurtosis anisotropy quantitative method based on diffusion kurtosis imaging, which relates to a quantitative parameter index of diffusion magnetic resonance imaging. Background technique [0002] Magnetic resonance scanners can detect objects or biological tissues in multiple modes and obtain information. The diffusion characteristics of water molecules are a very common phenomenon in biological tissues and can fully reflect the microstructural properties of substances. Magnetic resonance diffusion-weighted imaging (MR-DWI, diffusion weighted imaging) is a technology to detect the diffusion behavior of water molecules in objects, and diffusion kurtosis imaging (DKI, diffusion kurtosis imaging) technology is to obtain MRI signals in multiple directions to obtain object Diffusion and distribution of water molecules in the body, and then st...

Claims

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Application Information

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IPC IPC(8): G01R33/563
CPCG01R33/56341
Inventor 陈元园赵欣张雄刘亚男何峰周鹏綦宏志明东
Owner TIANJIN UNIV
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