Multistage Hybrid Active Appearance Model Matching: Segmentation of Left and Right Ventricles in Cardiac MR Images
Steven C. Mitchell, Boudewijn P. F. Lelieveldt, Rob J. van der Geest, Hans G. Bosch, Johan H. C. Reiber, and Milan Sonka
IEEE Transactions on Medical Imaging, May 2001, Volume 20, Issue 5, pp. 415-423
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Abstract
A fully automated approach to segmentation of the left and right cardiac ventricles from magnetic resonance (MR) images is reported. A novel multistage hybrid appearance model methodology is presented in which a hybrid active shape model/active appearance model (AAM) stage helps avoid local minima of the matching function. This yields an overall more favorable matching result. An automated initialization method is introduced making the approach fully automated.
Our method was trained in a set of 102 MR images and tested in a separate set of 60 images. In all testing cases, the matching resulted in a visually plausible and accurate mapping of the model to the image data. Average signed border positioning errors did not exceed 0.3 mm in any of the three determined contours—left-ventricular (LV) epicardium, LV and right-ventricular (RV) endocardium. The area measurements derived from the three contours correlated well with the independent standard (r = 0.96, 0.96, 0.90), with slopes and intercepts of the regression lines close to one and zero, respectively. Testing the reproducibility of the method demonstrated an unbiased performance with small range of error as assessed via Bland–Altman statistic. In direct border positioning error comparison, the multistage method significantly outperformed the conventional AAM (p < 0.001). The developed method promises to facilitate fully automated quantitative analysis of LV and RV morphology and function in clinical setting.
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Notes
Associated labs/groups:
Department of Pediatrics, The University of Iowa
Department of Radiology,
The University of Iowa
Text Reference
Steven C. Mitchell, Boudewijn P. F. Lelieveldt, Rob J. van der Geest, Hans G. Bosch, Johan H. C. Reiber, and Milan Sonka, "Multistage Hybrid Active Appearance Model Matching: Segmentation of Left and Right Ventricles in Cardiac MR Images", IEEE Transactions on Medical Imaging, May 2001, Volume 20, Issue 5, pp. 415-423
BibTeX Reference
@article{Mitchel_2001_IEEE_TMI,
author = "Steven C. Mitchell, Boudewijn P. F. Lelieveldt, Rob J. van der Geest, Hans G. Bosch, Johan H. C. Reiber, and Milan Sonka",
title = "Multistage Hybrid Active Appearance Model Matching: Segmentation of Left and Right Ventricles in Cardiac MR Images",
journal = "IEEE Transactions on Medical Imaging",
year = "2001",
volume= "20",
issue = "5",
pages = "415-423"
}