Statistical shape model of atria, ventricles and epicardium from short- and long-axis MR images
2004; Elsevier BV; Volume: 8; Issue: 3 Linguagem: Inglês
10.1016/j.media.2004.06.013
ISSN1361-8431
Autores Tópico(s)Image and Signal Denoising Methods
ResumoWe describe a new 3-D statistical shape model of the heart consisting of atria, ventricles and epicardium. The model was constructed by combining information on standard short- and long-axis cardiac MR images. In the model, the variability of the shape was modeled with PCA- and ICA-based shape models as well as with non-parametric landmark probability distributions and a probabilistic atlas. The statistical atlas was built from 25 healthy subjects. The shape model was evaluated by applying it to image segmentation. The probabilistic atlas was found to be superior to the other shape models (P < 0.001) in this study.
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