Abstract
Robust delineation of short-axis cardiac magnetic resonance images (MRI) is a fundamental precondition for functional heart diagnostics. Segmentation of the myocardium and the left ventricular blood pool allows for the analysis of important quantitative parameters. Model-based segmentation methods based on representative image data provide an inherently stable tool for this task. We present an implementation and evaluation of 3-D Active Appearance Models for the segmentation of the left ventricle using actual clinical case images. Models created from varying random data sets have been evaluated and compared with manual segmentations.
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Böhler, T., Boskamp, T., Müller, H., Hennemuth, A., Peitgen, HO. (2006). Evaluation of Active Appearance Models for Cardiac MRI. In: Handels, H., Ehrhardt, J., Horsch, A., Meinzer, HP., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2006. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32137-3_35
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DOI: https://doi.org/10.1007/3-540-32137-3_35
Publisher Name: Springer, Berlin, Heidelberg
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