Methods, apparatus, devices, storage media, and program products for generating head models

By performing tissue segmentation and topology repair on MRI and MEG helmet data, a head model with high anatomical accuracy is generated, which solves the problems of low anatomical accuracy and non-robust registration in the existing head model construction, and realizes efficient and accurate head model generation.

CN121661294BActive Publication Date: 2026-05-26GUOCI CLOUD DIGITAL (DEQING) TECHNOLOGY CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
GUOCI CLOUD DIGITAL (DEQING) TECHNOLOGY CO LTD
Filing Date
2026-02-03
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

Existing technologies for constructing head models in magnetoencephalography (MEG) and high-density electroencephalography (EEG) suffer from low anatomical accuracy, topological incompleteness of segmentation results, and non-robustness of the registration process. These issues lead to distorted or non-convergent computational results, low processing efficiency, and difficulty in deployment in diverse clinical and research environments.

Method used

By receiving MRI scans and MEG helmet data, tissue segmentation and topology repair are performed to generate a head model with high anatomical accuracy. Differential segmentation is performed using 3D U-Net and Otsu adaptive thresholding algorithms. Topologically complete masks are generated by combining morphological operations and Boolean operations. Registration and fusion are performed through spatial transformation matrices to improve automation and robustness.

Benefits of technology

It achieves efficient and accurate full-head tissue segmentation and registration, generating a head model that conforms to the anatomical structure, improving processing efficiency and geometric accuracy of the model, and solving the problems of segmentation accuracy and registration reliability in existing technologies.

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Abstract

This invention discloses a method, apparatus, device, storage medium, and program product for generating a head model. The key features include receiving and verifying original 3D T1-weighted image data and an original 3D mesh model; performing tissue segmentation based on the verified 3D T1-weighted image data and the original 3D T1-weighted image data to obtain gray matter masks, white matter masks, scalp masks, and skull masks; performing topological repair on the gray matter and white matter masks to obtain a brain mask; converting the scalp mask, skull mask, and brain mask into scalp mesh models, skull mesh models, and brain mesh models, respectively; calculating and applying the spatial transformation matrix from the verified 3D mesh model to the scalp mesh model; and performing spatial registration and fusion of the scalp mesh model, skull mesh model, and brain mesh model to obtain the head model. The advantages are that it effectively improves the efficiency, accuracy, and robustness of head model generation and has good cross-platform deployment capabilities.
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