Gray white matter volume anomaly detection and correction method, device and equipment and storage medium

Abstract

The invention provides a grey white matter volume anomaly detection and correction method, which comprises the following steps of: based on a behavioral scale, obtaining a behavioral scoring result of a test object and a mapping template between behavioristics and a brain structure corresponding to the behavioral scale; weighting the behavioral scoring result and the mapping template to obtain a weighted template; performing VBM analysis on the magnetic resonance imaging data of the test object to obtain a probability template of a brain grey matter volume anomaly region; and comparing the weighted template with the probability template of the brain grey matter volume anomaly region, and extracting voxels which are simultaneously represented as significant anomaly as an analysis result. The invention further discloses a grey matter volume anomaly detection device, grey matter volume anomaly detection equipment and a computer readable storage medium. By adopting the embodiment of the invention, the false positive caused by multiple comparison errors in VBM analysis can be corrected by utilizing the relationship between the brain structure and behavioristics.

Description

technical field [0001] The technology relates to medical imaging analysis methods in the medical field, and in particular to a gray and white matter volume abnormality detection and correction method, device, equipment and storage medium. Background technique [0002] At present, individual-based brain abnormality detection mainly uses voxel-based morphometry (VBM), which maps each brain to a template, thereby eliminating most of the anatomical structure of the human brain. A huge difference. At the same time, by using the VBM method to compare each voxel of the subject's brain with the statistical distribution of each voxel established based on the data of healthy people, it is possible to find abnormal voxels. However, since MRI images of the whole brain contain hundreds of thousands of voxels, when the VBM method is used to detect abnormalities in individual brain gray and white matter volumes, there will be many statistically abnormal regions due to multiple comparison ...

AI Technical Summary

Problems solved by technology

However, since MRI images of the whole brain contain hundreds of thousands of voxels, when the VBM method is used to detect abnormalities in individual brain gray and white matter volumes, there will be many statistically abnormal regions due to multiple comparison errors in this method, and this region In fact, it has nothing to do with the disease behavior, and this obvious false positive result will greatly interfere with the diagnosis, so it is necessary to remove the false positive regions that appear in the abnormal detection of the brain using the VBM method

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