Method and system for visually identifying hemodynamic spatial-temporal heterogeneity in breast tumor

By combining dynamically enhanced magnetic resonance imaging and artificial intelligence machine learning methods, 19 types of time signal curves are used to classify and encode breast tumors, which solves the problem that the existing technology is difficult to analyze the entire tumor and reflect the hemodynamic spatial heterogeneity, and achieves efficient visual identification of the hemodynamic spatio-temporal heterogeneity within breast tumors.

CN119722579APending Publication Date: 2025-03-28SHENZHEN HOSPITAL CANCER HOSPITAL CHINESE ACAD OF MEDICAL SCI
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Patent Information

Application Number
CN202411638272.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-16
Publication Date
2025-03-28

AI Technical Summary

Technical Problem

Existing dynamically enhanced magnetic resonance imaging is difficult to analyze the entire tumor in breast cancer diagnosis, and is susceptible to random selection of regions of interest, mean effects of signal and interobserver inconsistency, and cannot effectively reflect the spatial heterogeneity of internal tumor hemodynamics.

Method used

By combining dynamic enhanced magnetic resonance imaging and artificial intelligence machine learning methods, each voxel inside the tumor is automatically classified and encoded using 19-class time signal curves (TICs), a 3D color-coded map is generated, the TIC types and proportions of each lesion are calculated, imagingomics characteristics are extracted, and a related machine learning model is constructed to reflect the hemodynamic spatiotemporal heterogeneity inside the tumor.

Benefits of technology

It has achieved non-invasive, convenient and comprehensive visual identification of the space-time heterogeneity of hemodynamics in breast tumors, and can more accurately judge the benign and malignant and biological behavior of the tumor, providing a scientific basis for prognosis evaluation and the formulation of treatment plans.

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Abstract

The invention discloses a method and a system for visually identifying hemodynamic spatial-temporal heterogeneity in breast tumors, and belongs to the technical field of medical image acquisition and auxiliary detection. The method for visually recognizing the hemodynamic spatial-temporal heterogeneity in the breast tumor comprises the steps that S1, DCE-MRI images of breast benign and malignant tumors are obtained, and region-of-interest sketching is carried out; s2, carrying out TIC automatic classification and coding on each voxel in the tumor by adopting 19 types of TIC curves to obtain a TIC color coding graph; s3, calculating the TIC type and proportion of each focus, and extracting a TIC color coding map to reflect radiomics characteristics of tumor internal heterogeneity; s4, screening the image omics characteristics of the TIC color coding image, and establishing three models including 19 types of TIC curve fusion models; according to the method, the difference of hemodynamics time and space heterogeneity in the breast tumor of the patient can be visually judged and compared, and benign and malignant and biological behaviors of the tumor of the patient are judged.
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