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
CN113744271AActive Publication Date: 2021-12-03SICHUAN UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SICHUAN UNIV
Publication Date
2021-12-03

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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.
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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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