Large vessel occlusion detection and classification in medical imaging
US12295774B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 20, 2022 |
| Grant date | May 13, 2025 |
| Priority date | — |
| Expiry date | May 12, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30101
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for occlusion detection in medical images are provided. An input medical image of one or more vessels in an anatomical object of a patient is received. One or more anatomical landmarks are identified in the input medical image. A first patch and one or more additional patches are extracted from the input medical image based on the identified one or more anatomical landmarks. The first patch and the one or more additional patches depict different portions of the anatomical object. Features are extracted from the first patch and the one or more additional patches using a machine learning based feature extractor network. An occlusion in the one or more vessels is detected in the first patch based on the extracted features with or without modeling features on a probability distribution function. Results of the detecting are output.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.