Statistical shape model of atria, ventricles and epicardium from short- and long-axis MR images

Jyrki Lötjönen (Corresponding Author), S. Kivistö, J. Koikkalainen, D. Smutek, K. Lauerma

Research output: Contribution to journalArticleScientificpeer-review

153 Citations (Scopus)

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 languageEnglish
Pages (from-to)371-386
JournalMedical Image Analysis
Volume8
Issue number3
DOIs
Publication statusPublished - 2004
MoE publication typeA1 Journal article-refereed

Keywords

  • shape analysis
  • statistical shape models
  • cardiac models
  • atlas
  • model-based image analysis

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