White matter high signal extraction method and system based on lesion diffusion algorithm

A signal extraction and white matter technology, applied in the field of medical imaging, can solve the problems of long realization period and insufficient generalization, and achieve the effect of complete process, removal of instability, and convenient use.

Pending Publication Date: 2021-08-13
XI AN JIAOTONG UNIV
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These methods usually take a long time to implement, have high requirements on the modality of

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  • White matter high signal extraction method and system based on lesion diffusion algorithm
  • White matter high signal extraction method and system based on lesion diffusion algorithm
  • White matter high signal extraction method and system based on lesion diffusion algorithm

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[0050] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0051] It should be understood that when used in this specification and the appended claims, the terms "comprising" and "comprises" indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude one or Presence or addition of multiple other features, integers, steps, operations, elements, components and / or collections thereof.

[0052] It should also be understood that the terminology used ...

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Abstract

The invention discloses a white matter high signal extraction method and system based on a lesion diffusion algorithm. The method comprises the following steps: inputting an original image comprising an FLAIR image, a T1 weighted image and a white matter tissue prior probability graph; carrying out preprocessing operation on the input original image; performing abnormal signal product operation on the preprocessed image to obtain a tissue signal intensity distribution confidence map, and performing initialization and white matter high signal segmentation on the obtained tissue signal intensity distribution confidence map to obtain a white matter high signal probability map; and carrying out image binaryzation on the white matter high-signal probability graph generated after segmentation processing through a threshold value to obtain a white matter high-signal extraction graph, and superposing the white matter high-signal extraction graph on the standardized original image to obtain a white matter high-signal positioning graph. The white matter high signal extraction method is easy to operate, high in generalization, stable in effect, high in practicability and very effective.

Description

technical field [0001] The invention belongs to the technical field of medical imaging, and in particular relates to a white matter hyperintensity extraction method and system based on a lesion diffusion algorithm. Background technique [0002] White matter hyperintensities are usually managed using imaging modalities, most often visualized using a fluid-attenuated inversion recovery sequence (FLAIR) in magnetic resonance imaging. In the FLAIR sequence, the cerebrospinal fluid is suppressed as low signal, and the contrast of high signal lesions is enhanced. The imaging effect of white matter hyperintensity such as ventricles, ventricles and deep parts is better than other imaging methods. [0003] At present, the evaluation of white matter hyperintensities can be divided into manual evaluation and automatic evaluation. Manual evaluation refers to the naked-eye observation of MRI images by specialized personnel, and then uses Fazekas and other white matter lesion scales to e...

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Application Information

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IPC IPC(8): G06T7/11G06T7/136G06T7/30G06K9/62G06K9/00
CPCG06T7/11G06T7/136G06T7/30G06T2207/10088G06T2207/30096G06T2207/20076G06F2218/08G06F18/2321
Inventor 白丽君潘怡臻熊峰
Owner XI AN JIAOTONG UNIV
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