Brain centerline detection method and system, terminal and storage medium

Abstract

The invention provides a brain centerline detection method and system, a terminal and a storage medium. The method comprises the steps of obtaining a brain CT image and corresponding annotation data of a brain centerline offset patient; preprocessing the brain CT image and the corresponding annotation data, and dividing the preprocessed brain CT image and the corresponding annotation data into a training set and a test set according to a preset proportion; respectively inputting the training set into a preset attitude correction network, a context-aware feature optimization network and a neutral line regression network for training to obtain an initial brain neutral line detection model; performing optimization test on the initial brain centerline detection model through the test set to obtain a brain centerline detection model. The invention can automatically detect the brain centerlines with different offset degrees, can be used for subsequent measurement of brain centerline offset to obtain the coordinate of the offset brain centerline, and realizes efficient and accurate detection of the brain centerline.

Description

technical field [0001] The present application relates to the technical field of medical image processing, in particular to a brain midline detection method, system, terminal and storage medium. Background technique [0002] The human brain is approximately symmetrical, with the brain midline being a straight line in healthy subjects and dividing the left and right hemispheres. However, various pathological conditions, such as traumatic brain injury, stroke, and brain tumors, can disrupt this symmetry, resulting in midline shift. A large number of studies have shown that changes in midline intracranial structures are helpful for the diagnosis of intracranial lesions; in addition, midline shifts also have a certain effect on the level of consciousness in patients with various brain pathologies such as acute intracranial hematoma and the prognosis of patients with traumatic brain injury. value. In summary, early detection of patients with severe midline shift will help in pa...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the deficiencies of the prior art, the present application provides a brain midline detection method, system, terminal and storage medium, which solves the problem of poor performance of brain midline detection due to the inability to guarantee the prior art and the lack of modeling of context information in the prior art And other issues

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