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3D Large Scale Pneumographic Myocardial Structure Analysis - Advanced Denoising, Motion and Level-Set Techniques

Rapport de rechercheUniversitaet Muenster, ETH Zuerich, submitted to Bildverarbeitung fuer die Medizin, Luebeck, 2011 - october 2010
An important application of cardiac imaging is to contribute to the understanding of the structure and function of the myocardium. The question of the myocardial structure traces back to the 19th century. Today we know that the myocardium exhibits a very complex spatial organization. DT-MRI has established as the standard method to measure fi ber orientations. In this paper, we present an image processing framework based on Bregman-TV denoising, optical ow pseudo-motion estimation and level-set segmentation applied to high resolution pneumographic 3D (micro-)CT data. We are able to compute the 3D orientation of cardio-myocytes and related quantitative information like helical or intrusion angles efficiently on high-resolution datasets. Our method could be used to validate DT-MRI or as a basis for dynamic pneumographic or electromechanical models.

Références BibTex

@TechReport{BLBDN10,
  author       = {Brune, C. and Lunkenheimer, P. and Burger, M. and Dirks, H. and Niederer, P.},
  title        = {3D Large Scale Pneumographic Myocardial Structure Analysis - Advanced Denoising, Motion and Level-Set Techniques},
  institution  = {Universitaet Muenster, ETH Zuerich},
  month        = {october},
  year         = {2010},
  type         = {submitted to Bildverarbeitung fuer die Medizin, Luebeck, 2011},
  url          = \{/2010/BLBDN10},
}

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