Cardiac valve annulus manual segmentation using computer assisted visual feedback in three-dimensional image data.

Ramon Casero, Rebecca A B Burton, T. Quinn, Christian Bollensdorff, Patrick Hales, Jurgen E. Schneider, Peter Kohl, Vicente Grau

Research output: Contribution to journalArticle

Abstract

Annulus manual segmentation is an important tool for the study of valve anatomy and physiology, for the four main valves of the heart (mitral, tricuspid, aortic and pulmonary). In this paper we review two traditional manual segmentation approaches: slice-by-slice and interpolating a sparse set of landmarks with a spline curve. We propose a new Spline Tool for the open source software platform Seg3D, that is fast and improves spatial coherence by providing visual feedback of the segmentation in real time. The Spline Tool was tested successfully on 14 rat hearts, on all four valves.

Original languageEnglish
Pages (from-to)738-741
Number of pages4
JournalConference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference
Publication statusPublished - 1 Dec 2010
Externally publishedYes

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ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Biomedical Engineering
  • Health Informatics

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