Multi-compartment heart segmentation in CT angiography using a spatially varying gaussian classifier

@article{Murphy2012MulticompartmentHS,
  title={Multi-compartment heart segmentation in CT angiography using a spatially varying gaussian classifier},
  author={Sean Murphy and Akin Akinyemi and J. Steel and Y. P{\'e}tillot and Ian Poole},
  journal={International Journal of Computer Assisted Radiology and Surgery},
  year={2012},
  volume={7},
  pages={829-836}
}
A fully automated and efficient method for segmenting ten major structures within the heart in Cardiac CT Angiography data for the purposes of display or cardiac functional analysis. A spatially varying Gaussian classifier is a flexible model for segmentation, combining the advantages of atlas-based frameworks, with supervised intensity models. It is composed of an independent Gaussian classifier at each voxel and uses non-rigid registration for the initial spatial alignment. We show how this… CONTINUE READING

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