Resting state-based supplementary motor area function localization method

Abstract

The invention belongs to the field of medical image processing and application, and relates to a technology for functionally locating the auxiliary motor area of ​​the brain, in particular to a method for automatically locating the auxiliary motor area by using resting-state functional magnetic resonance imaging technology. The invention uses resting state functional magnetic resonance imaging technology to automatically locate the auxiliary motor area, uses machine learning algorithms to realize high-precision positioning of the auxiliary motor area, and verifies the validity and reliability of the algorithm on multiple data, fully considering brain tumor patients It can be used for the localization of brain-assisted motor functional areas in healthy people and patients with brain tumors. This method can overcome the impact of task paradigm-based magnetic resonance positioning technology on brain functional areas. Limited activation, especially when the task performance of brain tumor patients is generally poor, cannot well meet the clinical needs.

Description

technical field [0001] The present invention relates to the field of medical image processing and application, and relates to a technology for functional positioning of the auxiliary motor area of ​​the brain, in particular to a resting state-based auxiliary motor area function positioning method, and in particular to a method for functional magnetic resonance imaging using resting state A method for the automatic positioning of the assistive motor zone by technology. Background technique [0002] According to reports, glioma is the most common central nervous system tumor. Statistics show that in my country, the annual incidence of glioma is 3-6 per 100,000 people, and the annual death toll reaches 30,000. At present, among clinical interventions, intracranial surgery is the most direct and effective treatment for glioma. Clinical practice shows that for tumors that occur near the language and motor functional areas of the brain, surgical resection is likely to cause dama...

AI Technical Summary

Problems solved by technology

[0006] The method for functional positioning of the brain auxiliary motor area of ​​the present invention uses resting state functional magnetic resonance imaging technology to automatically locate the auxiliary motor area, uses machine learning algorithms to realize high-precision positioning of the auxiliary motor area, and performs algorithms on multiple data Effectiveness and reliability verification, fully considering the clinical status of brain tumor patients, only requires the minimum participation of the positioned personnel, can be used for brain-assisted motor function area positioning of healthy people and brain tumor patients, this method can overcome the task-based paradigm The current magnetic resonance positioning technology can only activate the brain functional areas to a limited extent, especially when the task performance of brain tumor patients is generally poor, it cannot well meet the clinical needs.

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