Abstract
We 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.
Original language | English |
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Pages (from-to) | 371-386 |
Journal | Medical Image Analysis |
Volume | 8 |
Issue number | 3 |
DOIs | |
Publication status | Published - 2004 |
MoE publication type | A1 Journal article-refereed |
Keywords
- shape analysis
- statistical shape models
- cardiac models
- atlas
- model-based image analysis