Neural network-based optic nerve automatic segmentation and compression degree measurement and calculation method

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

Active Publication Date: 2021-12-03
SICHUAN UNIV
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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

Method used

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  • Neural network-based optic nerve automatic segmentation and compression degree measurement and calculation method
  • Neural network-based optic nerve automatic segmentation and compression degree measurement and calculation method
  • Neural network-based optic nerve automatic segmentation and compression degree measurement and calculation method

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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 optic nerve automatic segmentation and compression degree measurement and calculation method, relates to the technical field of image data processing, and solves the technical problems of time waste and low efficiency of nuclear magnetic tomography analysis of an existing saddle region. The method comprises the following steps: obtaining an MRI image file of a tumor patient in the saddle region; establishing a visual intersection segmentation model, selecting a U-Net segmentation network, adding a space and channel attention mechanism, and performing visual intersection region segmentation on each cut MRI image; measuring and calculating according to the cross compression degree; training and testing the model; according to the method, a plurality of brain MRI images of a tumor patient in the saddle region can be rapidly analyzed in an extremely short time, a large amount of repetitive work of doctors is reduced, and the practical application purposes of assisting the doctors in compression degree judgment and prognosis prediction and providing reference for operations clinically are achieved.

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 Applications(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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