Automated method and system for the detection of lesions in medical computed tomographic scans
US5881124A · kind A · utility
Assignee
Inventors
Key dates
| Filing date | Mar 31, 1994 |
| Grant date | Mar 9, 1999 |
| Priority date | — |
| Expiry date | Mar 31, 2014 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY10S378/901
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method and system for the automated detection of lesions in computed tomographic images, including generating image data from at least one selected portion of an object, for example, from CT images of the thorax. The image data are then analyzed in order to produce the boundary of the thorax. The image data within the thoracic boundary is then further analyzed to produce boundaries of the lung regions using predetermined criteria. Features within the lung regions are then extracted using multi-gray-level thresholding and correlation between resulting multi-level threshold images and between at least adjacent sections. Classification of the features as abnormal lesions or normal anatomic features is then performed using geometric features yielding a likelihood of being an abnormal lesion along with its location in either the 2-D image section or in the 3-D space of the object.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.