Optic nerve segmentation method and device in magnetic resonance image

Abstract

The embodiment of the invention provides an optic nerve segmentation method and device in a magnetic resonance image, and the method comprises the steps: carrying out the image registration of a target magnetic resonance image, obtaining the spatial probability distribution information of the target magnetic resonance image, wherein the spatial probability distribution information comprises shapeinformation and position information of a visual pathway; predicting the target magnetic resonance image and the spatial probability distribution information based on a trained visual pathway segmentation model to obtain a visual pathway segmentation image of the target magnetic resonance image; wherein the trained visual pathway segmentation model is obtained by training a sample magnetic resonance image and sample space probability distribution information. According to the embodiment of the invention, the spatial probability distribution information of the visual pathway in the magnetic resonance image is acquired, and the visual pathway in the magnetic resonance image is segmented according to the shape information and the position information of the spatial probability distribution information, so that the problem that the boundary of the visual pathway is fuzzy is effectively overcome, and accurate segmentation of the visual pathway is realized.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method and device for segmenting an optic nerve in a magnetic resonance image. Background technique [0002] Magnetic Resonance (MR) imaging is an imaging technique that uses the signal generated by the resonance of atomic nuclei in a strong magnetic field to undergo image reconstruction. Today, image-guided surgical navigation based on magnetic resonance images has become an important part of sinus and skull base surgery. important aids. [0003] Due to the intricate anatomy of the sinuses, skull base, and adjacent orbital region, containing important neural and vascular structures, such as the visual pathway, its elongated anatomy, low contrast and blurred borders in MRI images, Target segmentation methods based on threshold or edge detection cannot achieve results at all, and because the visual pathway accounts for a small proportion of the entire head volume data,...

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Problems solved by technology

[0003] Due to the intricate anatomy of the sinuses, skull base, and adjacent orbital region, containing important neural and vascular structures, such as the visual pathway, its elongated anatomy, low contrast and blurred boundaries in MRI images, Target segmentation methods based on threshold or edge detection cannot achieve results at all, and because the visual pathway accounts for a small proportion of the entire head body data, the accuracy of the existing visual pathway segmentation methods is low

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