- Poster presentation
- Open Access
Automated segmentation of left ventricle in cine cardiac mr images
© Lu et al; licensee BioMed Central Ltd. 2010
Published: 21 January 2010
To quantitatively analyze global and regional cardiac function from MR, clinical parameters such as ejection fraction (EF) and volumes are required. These depend upon accurate delineation of endo- and epicardial contours of the left ventricle (LV). Accurate LV segmentation is acknowledged as a difficult problem because of the overlap between the intensity distributions within the cardiac regions, the lack of edge information, and the inter-subject variability. A novel method for the robust, accurate and fully automatic LV segmentation from short axis (SA) cine MR images is presented in this study.
Materials and methods
APD AND DM
APD (average perpendicular distance)
DM (DICE METRIC)
IC: INNER CONTOUR
OC: OUTER CONTOUR
Discussion and conclusion
In summary, the proposed fully automated segmentation technique is fast, accurate and robust and should be of benefit for quantification of cine cardiac MR in clinical practice.
This article is published under license to BioMed Central Ltd.