Multi-modal medical image fusion and three-dimensional reconstruction method and system

By employing a multimodal medical image fusion and 3D reconstruction method based on feature-level fusion and topology correction, the problem of information interference in the fusion of different modal images is solved, generating a 3D reconstruction model with high information density and geometric accuracy.

CN122336148APending Publication Date: 2026-07-03SHANXI MEDICAL UNIV
View PDF 0 Cites 0 Cited by

Patent Information

Application Number
CN202610548214.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-04-23
Publication Date
2026-07-03

AI Technical Summary

Technical Problem

Existing technologies have failed to effectively handle the differences in physical meaning and biological information of different modal images in medical image fusion and 3D reconstruction, resulting in information interference and the submergence of unique features, which affects the geometric accuracy and reliability of the reconstruction model.

Method used

A multimodal medical image fusion and 3D reconstruction method is adopted. The fused volume data field is generated through a feature-level fusion strategy. Combined with anisotropic diffusion filtering and edge enhancement processing, the isosurface geometric mesh is extracted and then simplified and smoothed. Finally, surface detail optimization and topology correction are performed.

Benefits of technology

It achieves more complete preservation and enhancement of the unique information of each original modality, generates a three-dimensional data foundation with high information density, and improves geometric accuracy and expression of clinical significance.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN122336148A_ABST
    Figure CN122336148A_ABST
Patent Text Reader

Abstract

This invention relates to the field of medical image 3D reconstruction and fusion technology, specifically a method and system for multimodal medical image fusion and 3D reconstruction, comprising: receiving and standardizing raw image data streams from different devices; extracting intensity and texture features of each modality of image, constructing a feature space mapping relationship, and generating a fused volume data field based on this using a feature-level fusion strategy; after filtering and enhancing the volume data, extracting isosurface geometric meshes and simplifying and smoothing them to obtain a preliminary 3D model surface; mapping the preliminary surface back to the volume data space, and performing surface detail optimization and topology correction; and finally outputting a 3D reconstructed model integrating complementary information from multiple modalities. This invention improves the information integration and geometric accuracy of the reconstructed model by performing deep fusion in the feature space and employing a closed-loop optimization mechanism of surface-volume data back-mapping.
Need to check novelty before this filing date? Find Prior Art