Ultrasound image object boundary localization by intensity histogram classification using relationships among boundaries
US8995739B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 21, 2013 |
| Grant date | Mar 31, 2015 |
| Priority date | — |
| Expiry date | Oct 19, 2033 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30004
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Fatty tissue boundary depths and muscle tissue boundary depths are identified in an ultrasound image by first creating an average intensity histogram of the ultrasound image. The histogram has a plurality of peaks, but has the characteristic that one of its peaks corresponds to a fat boundary depth, and a second of its peaks corresponds to a muscle boundary depth. A first classifier based solely on the local-characteristics of individual peaks is used to identify a first fat tissue depth. A second classifier trained to find a muscle depth given a fat depth, receives the output from the first classifier and identifies an output muscle tissue depth relative to the first fat tissue depth. A third classifier trained to find a fat boundary depth given a muscle boundary depth, receives the output muscle tissue depth and outputs a second fat boundary depth.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.