Abstract
We describe a new statistical atlas of the heart consisting of atrias, ventricles and epicardium. The atlas was constructed by combining information on standard short-axis and long-axis cardiac MR images. The variability of the shape was modeled in the atlas by a statistical deformation model and by non-parametric probability distributions. The atlas has been built from 16 subjects.
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Keywords
- Landmark Point
- Active Appearance Model
- Active Shape Model
- Statistical Shape Model
- Medical Image Computing
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Lötjönen, J., Koikkalainen, J., Smutek, D., Kivistö, S., Lauerma, K. (2003). Four-Chamber 3-D Statistical Shape Model from Cardiac Short-Axis and Long-Axis MR Images. In: Ellis, R.E., Peters, T.M. (eds) Medical Image Computing and Computer-Assisted Intervention - MICCAI 2003. MICCAI 2003. Lecture Notes in Computer Science, vol 2878. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39899-8_57
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DOI: https://doi.org/10.1007/978-3-540-39899-8_57
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