Brain disease target positioning system and method based on functional magnetic resonance imaging

By using a brain disease target localization system based on functional magnetic resonance imaging (fMRI), a whole-brain functional connectivity map is calculated using 4D rs-fMRI data. Abnormal voxels are screened, aggregated into clusters, and a machine learning model is used to predict efficacy scores. The system is then transformed into precise target points for individual anatomical structures using a nonlinear registration algorithm. This solves the problems of single target points and uncertain location, and improves the accuracy of target localization and efficacy.

CN121617596AInactive Publication Date: 2026-03-06XUANWU HOSPITAL OF CAPITAL UNIV OF MEDICAL SCI
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Patent Information

Application Number
CN202511778000.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-11-28
Publication Date
2026-03-06
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

Existing technologies for brain disease target localization suffer from problems such as single target and inability to effectively determine location, resulting in significant differences in treatment efficacy and low levels of intelligence.

Method used

By collecting 4D rs-fMRI data, we calculated the whole-brain functional connectivity map, screened abnormal voxels, aggregated them into clusters using a clustering algorithm, combined with a machine learning model to predict efficacy scores, and used a nonlinear registration algorithm to convert them into precise target points of individual anatomical structures. We also improved the target point localization accuracy by adjusting parameters.

Benefits of technology

This enables more accurate determination of the location of brain disease targets, improves the effectiveness and localization accuracy of targets, solves the problems of single target and uncertain location, and enhances the individualization and effectiveness of treatment.

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Abstract

The invention relates to the technical field of brain disease target positioning, in particular to a brain disease target positioning system and method based on functional magnetic resonance imaging. The method comprises the following steps: calculating a whole brain function connection map of an individual patient based on 4D rs-fMRI data, calculating a Z score of each voxel function connection strength in the whole brain function connection map of the individual patient, and screening abnormal voxels based on a preset threshold value; aggregating the abnormal voxels through a clustering algorithm so as to determine a cluster; the therapeutic effect scores of the multiple clusters can be predicted through the machine learning model, the clusters and the candidate therapeutic targets can be screened based on the therapeutic effect scores, the positions of the candidate targets can be accurately determined, and multiple selections of the candidate targets can be provided; the target spot is converted into an accurate target spot suitable for an individual through a nonlinear registration algorithm; and determining a target positioning state according to the deviation between the accurate target and the actual treatment target, and adjusting corresponding parameters based on the target positioning state. The invention provides a plurality of targets and effectively determines the positions of the targets.
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