Automatic MR-US prostate image fusion through semi-supervised constrained learning
US12373961B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 10, 2022 |
| Grant date | Jul 29, 2025 |
| Priority date | — |
| Expiry date | Apr 19, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30081
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for automatically registering a first input medical image and a second input medical image are provided. The first input medical image in a first modality and the second input medical image in a second modality are received. One or more objects of interest are segmented from the first input medical image to generate a first segmentation map and one or more objects of interest are segmented from the second input medical image to generate a second segmentation map. A first point cloud is extracted from the first segmentation map and a second point cloud is extracted from the second segmentation map. A transformation for aligning the first point cloud and the second point cloud is determined to register the first input medical image and the second input medical image. The transformation is output.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.