Probabilistic framework for tracking in artifact-prone 3D echocardiograms

@article{Leung2010ProbabilisticFF,
  title={Probabilistic framework for tracking in artifact-prone 3D echocardiograms},
  author={K. Y. Esther Leung and Mikhail G. Danilouchkine and Marijn van Stralen and Nico de Jong and Anton F. W. van der Steen and Johan G. Bosch},
  journal={Medical image analysis},
  year={2010},
  volume={14 6},
  pages={
          750-8
        }
}
The analysis of echocardiograms, whether visual or automated, is often hampered by ultrasound artifacts which obscure the moving myocardial wall. In this study, a probabilistic framework for tracking the endocardial surface in 3D ultrasound images is proposed, which distinguishes between visible and artifact-obscured myocardium. Motion estimation of visible myocardium relies more on a local, data-driven tracker, whereas tracking of obscured myocardium is assisted by a global, statistical model… CONTINUE READING
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