Segmenting rodent cardiac ultrasound images using direct posterior models

  • Authors:

  • Yong Yue;Hemant D. Tagare

  • Affiliations:

  • Department of Diagnostic Radiology, Yale University, New Haven, CT;Department of Diagnostic Radiology, Department of Biomedical Engineering, Yale University, New Haven, CT

  • Venue:
  • ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
  • Year:
  • 2009

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Abstract

Lack of an accurate generative model makes it hard to use classical MAP segmentation algorithms to jointly segment the epi- and the endocardium in ultrasound rodent cardiac images. This paper proposes an alternate methodology for such segmentation. The methodology directly models the posterior probability of segmentation using penalized logistic models. A level-set segmentation algorithm is developed using direct posterior models. Finally, experimental evaluation is provided which compares the algorithm segmentation with manual segmentation using real-world data.