Method, system and computer readable medium for the two-dimensional and three-dimensional detection of lesions in computed tomography scans
US6898303B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 16, 2001 |
| Grant date | May 24, 2005 |
| Priority date | — |
| Expiry date | Jan 23, 2023 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30064
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method, system and computer readable medium for automated detection of lung nodules in computed tomography (CT) image scans, including generating two-dimensional segmented lung images by segmenting a plurality of two-dimensional CT image sections derived from the CT image scans; generating three-dimensional segmented lung volume images by combining the two-dimensional segmented lung images; determining three-dimensional lung nodule candidates from the three-dimensional segmented lung volume images, including, identifying structures within the three-dimensional segmented lung volume images that meet a volume criterion; deriving features from the lung nodule candidates; and detecting lung nodules by analyzing the features to eliminate false-positive nodule candidates from the nodule candidates.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.