A brain glioma recognition device based on a 5T multi-nuclear magnetic resonance imaging system

By combining a 5T multi-core magnetic resonance imaging system with multi-core MRI technology, the problem of insufficient sensitivity and resolution of traditional magnetic resonance systems in the diagnosis of gliomas has been solved, and high-precision identification and boundary delineation of gliomas has been achieved.

CN119757442BActive Publication Date: 2025-10-10INNOVATION ACAD FOR PRECISION MEASUREMENT SCI & TECH CAS
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Patent Information

Application Number
CN202411875992.2
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-12-19
Publication Date
2025-10-10
Estimated Expiration
2044-12-19

AI Technical Summary

Technical Problem

Existing magnetic resonance imaging technology has low sensitivity in the diagnosis of brain gliomas, making it difficult to accurately identify and outline tumor boundaries. In particular, the resolution and sensitivity of traditional 1.5T and 3T magnetic resonance systems are insufficient and cannot provide sufficient metabolite information.

Method used

A 5T multi-nuclear magnetic resonance imaging system was used, combined with 1H/23Na/31P multi-nuclear MRI, to obtain information on the concentrations of multiple metabolites in the brain region through amide proton imaging, 23Na MRI, and 31P MRS. The discriminant network and segmentation network of cross-modal data were used to identify and delineate the boundaries of brain gliomas.

Benefits of technology

It achieves high-sensitivity and high-resolution detection of brain gliomas, and can more accurately quantitatively analyze amide protons, sodium concentrations and phosphorus-containing metabolites in brain areas, thereby improving the accuracy of early diagnosis of brain gliomas and the precision of boundary delineation.

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Abstract

The application discloses a brain glioma recognition device based on a 5T multi-nuclear magnetic resonance imaging system, which comprises an amide proton imaging acquisition module for receiving a chemical exchange saturation transfer spectrum of amide protons and amide proton concentration; 1 H T2 weighted MRI images, 23 Na MRI images and total sodium concentration maps 23 Na MRI image acquisition module; for receiving 31 P MRS images and phosphorus-containing metabolite concentration of brain regions 31 P MRS image acquisition module; and a recognition module comprising a discrimination network and a segmentation network. The application inputs a sample group into the discrimination network and the segmentation network of the cross-modal data brain tumor, can recognize abnormal signals of different voxels of brain regions, and can outline the boundary of the brain glioma.
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