Segmentation of cardiac magnetic resonance (CMR) images using a memory persistence approach
US10235750B2 · kind B2 · utility
Assignees
Inventors
Key dates
| Filing date | Feb 27, 2015 |
| Grant date | Mar 19, 2019 |
| Priority date | — |
| Expiry date | Apr 13, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30048
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method is proposed for identifying an anatomical structure within a spatial-temporal image (i.e. a series of frames captured as respective times). A current frame of spatial-temporal medical image is processed using information from one or more previous and/or subsequent temporal frames, to aid in the segmentation of an object or a region of interest (ROI) in a current frame. The invention is applicable to both two- and three-dimensional spatial-temporal images (i.e., 2D+time or 3D+time), and in particular to cardiac magnetic resonance (CMR images). An initialization process for this method segments the left ventricle (LV) in a CMR image by a fuzzy c-means (FCM) clustering algorithm which employs a circular shape function as part of the definition of the dissimilarity measure.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.