Fully automated assessment of coronary vulnerable plaque in coronary CT images using radiomic features
US12327349B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 26, 2022 |
| Grant date | Jun 10, 2025 |
| Priority date | — |
| Expiry date | Feb 12, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H50/30
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for automatic assessment of a lesion are provided. One or more input medical images of a vessel of a patient is received. A lesion is defined in the one or more input medical images. A region of interest around the lesion is defined in the one or more input medical images. Radiomic features are extracted from the region of interest. An assessment of the lesion is determined using a machine learning based classifier network based on the radiomic features. The assessment of the lesion is output.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.