System and method for local pulmonary structure classification for computer-aided nodule detection
US7764819B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 18, 2007 |
| Grant date | Jul 27, 2010 |
| Priority date | — |
| Expiry date | May 28, 2029 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/03
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for classifying pulmonary structures in digitized images includes providing approximate target structure locations of one or more target structures in a digitized 3-dimensional (3D) image, fitting an anisotropic Gaussian model about said approximate target locations to generate more precise 3D target models and center locations of said one or more target structures, warping each said 3D target model into a 3D sphere, constructing a bounding manifold about each said warped 3D sphere, and identifying clusters on said bounding manifold wherein said one or more target structures are classified.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.