Automatic aortic detection and segmentation in three-dimensional image data
US7991210B2 · kind B2 · utility
28Cited by
3References
29Claims
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Key dates
| Filing date | Nov 23, 2005 |
| Grant date | Aug 2, 2011 |
| Priority date | — |
| Expiry date | Jun 2, 2030 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30101
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method including searching image data corresponding to a series of axial image slices with a processor, searching axial image slices from a starting image slice and calculating a confidence score that an image slice includes a cross-section image of an aorta, identifying an image slice containing at least one seed disk, including an ascending aorta seed disk, from candidate image slices identified according to the confidence score, and growing a 3D segmentation of the ascending aorta by stacking ascending aorta image disks included in consecutive image slices beginning from the ascending aorta seed disk.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.