White-matter high-signal grading method, electronic equipment and storage medium

A grading method and signal technology, applied in the field of image processing, can solve problems such as difficult to evaluate accurately, lack of brain partition function, etc., and achieve the effect of improving accuracy and efficiency

Pending Publication Date: 2021-03-16
SHANGHAI UNITED IMAGING INTELLIGENT MEDICAL TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Because the existing grading methods lack the function of brain division, doctors need to have a good gras

Method used

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  • White-matter high-signal grading method, electronic equipment and storage medium
  • White-matter high-signal grading method, electronic equipment and storage medium
  • White-matter high-signal grading method, electronic equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0050] This embodiment provides a white matter hyperintensity classification method, such as figure 1 As shown, the method specifically includes the following steps:

[0051] S1, training a preset white matter hyperintensity segmentation model, which is used to obtain the white matter hyperintensity segmentation results of the target brain image.

[0052] In this embodiment, the white matter hyperintensity segmentation model is trained through the following steps:

[0053] S11. Acquire a first sample data set, where the first sample data set includes several first sample images and white matter hyperintensity tag labeling results corresponding to the first sample images. Specifically, the process of obtaining the first sample data set is as follows:

[0054] S111, acquire a first sample image, the first sample image may include but not limited to CT (Computed Tomography) image and MRI (Magnetic Resonance Imaging) image of the patient's head, where the MRI image may include F...

Embodiment 2

[0118] In this embodiment, the aforementioned step S7 is implemented as follows: use the pre-trained neural network to process the white matter hyperintensity segmentation results and brain partition results of the target brain image to obtain the white matter hyperintensity classification results of the target brain image.

[0119] As an example but not a limitation, the neural network of this embodiment can adopt a network structure such as VggNet, GoogleNet, ResNet, etc., whose input is the white matter hyperintensity segmentation result and brain partition result of the target brain image, and the output is the white matter hyperintensity classification prediction result.

[0120] In this embodiment, the neural network can be constructed and trained according to the scoring scale, and the training process of the neural network is as follows:

[0121] S71'. Acquire a fourth sample data set, where the fourth sample data set includes several fourth sample images and white mat...

Embodiment 3

[0131] This embodiment provides a white matter hyperintensity grading device, such as figure 2 As shown, the device 1 specifically includes:

[0132] An image acquisition module 11, configured to acquire a target brain image;

[0133] A white matter hyperintensity segmentation module 12, configured to process the target brain image based on a pre-trained white matter hyperintensity segmentation model, to obtain a white matter hyperintensity segmentation result of the target brain image;

[0134] The brain partition module 13 is used to process the target brain image based on the pre-trained brain partition model to obtain the brain partition result of the target brain image;

[0135] The grading module 14 is configured to obtain a white matter hyperintensity classification result of the target brain image according to the white matter hyperintensity segmentation result and the brain partition result.

[0136] In this embodiment, the target brain image includes several slice...

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Abstract

The invention provides a white matter high signal grading method and device, electronic equipment and a storage medium. The method comprises the steps of obtaining a target brain image; processing thetarget brain image based on a pre-trained white matter high signal segmentation model to obtain a white matter high signal segmentation result of the target brain image; processing the target brain image based on a pre-trained brain partitioning model to obtain a brain partitioning result of the target brain image; and obtaining a white matter high signal grading result of the target brain imageaccording to the white matter high signal segmentation result and the brain partitioning result. According to the invention, accurate grading of white matter high signals can be automatically realized.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a white matter hyperintensity grading method, electronic equipment and a storage medium. Background technique [0002] Vascular white matter hyperintensities (white matter hyperintensities of presumed vascular origin, WMH), also known as leukoaraiosis, white matter lesions or white matter disease, refers to the magnetic resonance T2 fluid attenuated inversion recovery sequence (Fluid~attenuated Inversion Recovery , FLAIR), there are multiple punctate, patchy or fusion hyperintensity phenomena around the bilateral lateral ventricles or in the subcortical white matter. White matter hyperintensities are common in the brains of older adults and those with small vessel disease or other neurological disorders, and are associated with increased risk of functional decline, dementia, and death. [0003] Clinically, white matter hyperintensities are generally evaluated by visual ...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/62G06T7/11G06T7/90G06K9/62G06N3/04G06N3/08
CPCG06T7/0012G06T7/62G06T7/90G06T7/11G06N3/08G06T2207/10081G06T2207/10088G06T2207/30016G06N3/045G06F18/2414
Inventor 周雅琪石峰沈宏
Owner SHANGHAI UNITED IMAGING INTELLIGENT MEDICAL TECH CO LTD
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