Automatic active appearance model segmentation of 3D echocardiograms

Authors:
K. Y. Esther Leung;Marijn van Stralen;Gerard van Burken;Nico de Jong;Johan G. Bosch
Affiliations:
Thoraxcenter Biomedical Engineering, Erasmus MC Rotterdam, the Netherlands;Thoraxcenter Biomedical Engineering, Erasmus MC Rotterdam, the Netherlands and Radiology, Leiden University Medical Center, the Netherlands;Thoraxcenter Biomedical Engineering, Erasmus MC Rotterdam, the Netherlands;Thoraxcenter Biomedical Engineering, Erasmus MC Rotterdam, the Netherlands;Thoraxcenter Biomedical Engineering, Erasmus MC Rotterdam, the Netherlands
Venue:
ISBI'10 Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro
Year:
2010

Citing 1
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Abstract

A fully automated segmentation for 3D echocardiography (3DE) using 3D Active Appearance Models (AAM) was developed and evaluated on 99 patients. The method used ultrasound specific grey value normalization and two matching algorithms were tested. To our knowledge this is the first report on a fully operational 3D AAM employed in 3DE on a large scale. The 3D AAM detected the endocardial contours accurately, even in the presence of large variations in left ventricular appearance and shape. Matching was successful in 91 % of patients and resulted in a median point-to-surface error of 2.69 mm (av±sd: 2.91±1.03mm). Results indicate that fully automated AAM analysis of 3DE is practically feasible in datasets of mixed origin and quality.