Non-invasive measurement of fibrous cap thickness
US11508063B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Aug 4, 2020 |
| Grant date | Nov 22, 2022 |
| Priority date | — |
| Expiry date | Dec 12, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30101
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
A system including a hierarchical analytics framework that can utilize a first set of machine learned algorithms to identify and quantify a set of biological properties utilizing medical imaging data is provided. System can segment the medical imaging data based on the quantified biological properties to delineate existence of perivascular adipose tissue. The system can also segment the medical imaging data based on the quantified biological properties to determine a lumen boundary and/or determine a cap thickness based on a minimum distance between the lumen boundary and LRNC regions.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.