Probabilistic minimal path for automated esophagus segmentation
US7773789B2 · kind B2 · utility
2Cited by
1References
12Claims
0Family size
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Key dates
| Filing date | Jul 5, 2006 |
| Grant date | Aug 10, 2010 |
| Priority date | — |
| Expiry date | Jun 9, 2029 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/03
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A segmentation of the esophagus from image data by specifying only the two end points is disclosed. Surrounding structures are used as high-level constraints to construct shape and appearance models. Prior shape information is integrated for the segmentation of a new esophagus using a Bayesian formulation. This permits to automatically select the proper models. Given the end points, a shortest path algorithm provides the optimal esophagus according to the Bayesian formulation.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.