Abstract
We present an automated left ventricular (LV) myocardial boundary extraction method. Automatic localization of the LV is achieved using a motion map and an expectation maximization algorithm. The myocardial region is then segmented using an intensity-based fuzzy affinity map and the myocardial contours are extracted by cost minimization through a dynamic programming approach. The results from the automated algorithm compared against the experienced radiologists using Bland and Altman analysis were found to have consistent mean bias of 7% and limits of agreement comparable to the inter-observer variability inherent in the manual method.
Original language | English (US) |
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Article number | 1643412 |
Pages (from-to) | 1425-1428 |
Number of pages | 4 |
Journal | IEEE Transactions on Biomedical Engineering |
Volume | 53 |
Issue number | 7 |
DOIs | |
State | Published - Jul 2006 |
Keywords
- Ejection fraction
- Fuzzy connectedness
- Image segmentation
- Left ventricle
ASJC Scopus subject areas
- Biomedical Engineering