Method and system for vessel segmentation in fluoroscopic images
US8121367B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 26, 2008 |
| Grant date | Feb 21, 2012 |
| Priority date | — |
| Expiry date | Dec 22, 2030 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V40/14
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method and system for vessel segmentation in fluoroscopic images is disclosed. Hierarchical learning-based detection is used to perform the vessel segmentation. A boundary classifier is trained and used to detect boundary pixels of a vessel in a fluoroscopic image. A cross-segment classifier is trained and used to detect cross-segments connecting the boundary pixels. A quadrilateral classifier is trained and used to detect quadrilaterals connecting the cross segments. Dynamic programming is then used to combine the quadrilaterals to generate a tubular structure representing the vessel.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.