3-D Active Appearance Models: Segmentation of Cardiac MR and Ultrasound Images
Steven C. Mitchell, Johan G. Bosch, Boudewijn P. F. Lelieveldt, Rob J. van der Geest, Johan H. C. Reiber, and Milan Sonka
IEEE Transactions on Medical Imaging, September 2002, Volume 21, Issue 9, pp. 1167-1178
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Abstract
A model-based method for three-dimensional image segmentation was developed and its performance assessed in segmentation of volumetric cardiac magnetic resonance (MR) images and echocardiographic temporal image sequences. Comprehensive design of a three-dimensional (3-D) active appearance model (AAM) is reported for the first time as an involved extension of the AAM framework introduced by Cootes et al. The model’s behavior is learned from manually traced segmentation examples during an automated training stage. Information about shape and image appearance of the cardiac structures is contained in a single model. This ensures a spatially and/or temporally consistent segmentation of three-dimensional cardiac images.
The clinical potential of the 3-D AAM is demonstrated in short-axis cardiac MR images and four-chamber echocardiographic sequences. The method’s performance was assessed by comparison with manually identified independent standards in 56 clinical MR and 64 clinical echo image sequences. The AAM method showed good agreement with the independent standard using quantitative indexes of border positioning errors, endoand epicardial volumes, and left ventricular mass. In MR, the endocardial volumes, epicardial volumes, and left ventricular wall mass correlation coefficients between manual and AAM were R^2 = 0.94, 0.97, 0.82 respectively. For echocardiographic analysis, the area correlation was R^2 = 0.79. The AAM method shows high promise for successful application to MR and echocardiographic image analysis in a clinical setting.
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Associated labs/groups:
Department of Pediatrics, The University of Iowa
Department of Radiology,
The University of Iowa
Text Reference
Steven C. Mitchell, Johan G. Bosch, Boudewijn P. F. Lelieveldt, Rob J. van der Geest, Johan H. C. Reiber, and Milan Sonka, "Active Appearance Models: Segmentation of Cardiac MR and Ultrasound Images", IEEE Transactions on Medical Imaging, September 2002, Volume 21, Issue 9, pp. 1167-1178
BibTeX Reference
@article{Mitchel_2002_IEEE_TMI,
author = "Steven C. Mitchell, Johan G. Bosch, Boudewijn P. F. Lelieveldt, Rob J. van der Geest, Johan H. C. Reiber, and Milan Sonka",
title = "Active Appearance Models: Segmentation of Cardiac MR and Ultrasound Images",
journal = "IEEE Transactions on Medical Imaging",
year = "2002",
volume= "21",
issue = "9",
pages = "1167-1178"
}