Automatic quantification of epicardial fat volume on non-enhanced cardiac CT scans using a multi-atlas segmentation approach.

@article{Shahzad2013AutomaticQO,
  title={Automatic quantification of epicardial fat volume on non-enhanced cardiac CT scans using a multi-atlas segmentation approach.},
  author={Rahil Shahzad and Daniel D. Bos and Coert Metz and A Rossi and Hortense A. Kirisli and Aad van der Lugt and Stefan Klein and Jacqueline C. M. Witteman and Pim J. de Feyter and Wiro J. Niessen and Lucas J. van Vliet and Theo van Walsum},
  journal={Medical physics},
  year={2013},
  volume={40 9},
  pages={
          091910
        }
}
PURPOSE There is increasing evidence that epicardial fat (i.e., adipose tissue contained within the pericardium) plays an important role in the development of cardiovascular disease. Obtaining the epicardial fat volume from routinely performed non-enhanced cardiac CT scans is therefore of clinical interest. The purpose of this work is to investigate the feasibility of automatic pericardium segmentation and subsequent quantification of epicardial fat on non-enhanced cardiac CT scans. METHODS… CONTINUE READING

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