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Automatic Segmentation of Optic Nerve and Calculation Method of Compressed Degree Based on Neural Network

A neural network and automatic segmentation technology, applied in neural learning methods, biological neural network models, neural architecture, etc., can solve problems such as low performance, inconvenient diagnosis of optic nerve compressive lesions, time-consuming and efficient manual map reading, etc., to reduce repetition. effect of work

Active Publication Date: 2022-02-11
SICHUAN UNIV
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  • Abstract
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  • Claims
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Problems solved by technology

[0005] The purpose of the present invention is: in order to solve the above-mentioned technical problems of inconvenient diagnosis of optic nerve compressive lesions caused by tumors in the sella region, and in addition to the time-consuming and low-efficiency technical problems of manual image reading, the present invention provides automatic segmentation and compression degree of optic nerve based on neural network Calculation method

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  • Automatic Segmentation of Optic Nerve and Calculation Method of Compressed Degree Based on Neural Network
  • Automatic Segmentation of Optic Nerve and Calculation Method of Compressed Degree Based on Neural Network
  • Automatic Segmentation of Optic Nerve and Calculation Method of Compressed Degree Based on Neural Network

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Embodiment

[0057] Such as Figures 1 to 3 As shown, the present embodiment provides a method for automatically segmenting and compressing the optic nerve based on a neural network, including the following steps:

[0058] Step 1. Obtain MRI images of patients with tumors in the sella region, including samples with optic nerve compression and samples without optic nerve compression. Each MRI image is marked with an optic chiasm segmentation label, which is marked by a neurosurgery doctor at West China Hospital of Sichuan University;

[0059] The MRI image data is randomly divided into training set and test set according to 4:1;

[0060] Step 2. Carry out center cropping for each cropped MRI image to reduce the image area;

[0061] Step 3. Establish the visual intersection segmentation model, select the U-Net segmentation network, and add space and channel attention mechanisms to improve the segmentation performance, and perform the segmentation of the visual intersection area for each MRI...

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Abstract

The invention discloses a neural network-based automatic optic nerve segmentation and compression degree calculation method, relates to the technical field of image data processing, and solves the time-consuming and low-efficiency technical problems of the existing nuclear magnetic tomography analysis of the sella region, including the following steps: obtaining MRI image files of patients with tumors in the sella region; the optic chiasm segmentation model was established, the U‑Net segmentation network was selected, and the spatial and channel attention mechanism was added to segment the optic chiasm area for each cropped MRI image; Compression degree measurement; model training and testing; the invention can quickly analyze multiple brain MRI images of the sella tumor patient in a very short time, reducing a lot of repetitive work for doctors, and assisting doctors in clinical practice. The purpose of practical application is to judge the degree of compression, predict the prognosis, and provide reference for surgery.

Description

technical field [0001] The invention relates to the technical field of image data processing, and more specifically to the technical field of automatic optic nerve segmentation and compressed degree measurement. Background technique [0002] The optic nerve is a part of the central nervous system. It originates from the retina, then forms the optic chiasm in the sella area, then forms the optic tract, and finally reaches the visual cortex. It is mainly responsible for transmitting the visual information obtained by the retina to the visual cortex of the brain. The sella region is an area with multiple intracranial tumors. Common tumors include pituitary tumors and craniopharyngiomas. These tumors gradually grow upward and directly compress the optic nerve and optic chiasm. Compression of the optic nerve blocks the transmission of visual impulses, resulting in visual impairments such as visual field loss and decreased vision. If the optic nerve is compressed for a long time,...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T7/11G06T3/40G06N3/04G06N3/08A61B5/055A61B5/00
CPCG06T7/0012G06T7/11G06T3/4007G06T3/4046G06N3/04G06N3/08A61B5/055A61B5/7267G06T2207/10088G06T2207/20081G06T2207/20084G06T2207/20132G06T2207/30041G06T2207/30096
Inventor 张蕾徐建国章毅王利团陈超越黄伟舒鑫王梓舟花语李佳怡谭硕余怡洁王凌度
Owner SICHUAN UNIV
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