Learning Shape Priors for Robust Cardiac MR Segmentation from Multi-view Images

@inproceedings{Chen2019LearningSP,
  title={Learning Shape Priors for Robust Cardiac MR Segmentation from Multi-view Images},
  author={Chen Chen and Carlo Biffi and G. Tarroni and S. Petersen and Wenjia Bai and D. Rueckert},
  booktitle={MICCAI},
  year={2019}
}
  • Chen Chen, Carlo Biffi, +3 authors D. Rueckert
  • Published in MICCAI 2019
  • Computer Science, Engineering
  • Cardiac MR image segmentation is essential for the morphological and functional analysis of the heart. Inspired by how experienced clinicians assess the cardiac morphology and function across multiple standard views (i.e. long- and short-axis views), we propose a novel approach which learns anatomical shape priors across different 2D standard views and leverages these priors to segment the left ventricular (LV) myocardium from short-axis MR image stacks. The proposed segmentation method has the… CONTINUE READING
    6 Citations

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