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

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

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. T he Spline Tool was tested successfully on 14 rat hearts, on aU four valves.

Original languageEnglish
Title of host publication2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
Pages738-741
Number of pages4
DOIs
Publication statusPublished - 1 Dec 2010
Externally publishedYes
Event2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10 - Buenos Aires, Argentina
Duration: 31 Aug 20104 Sep 2010

Other

Other2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
CountryArgentina
CityBuenos Aires
Period31/8/104/9/10

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ASJC Scopus subject areas

  • Biomedical Engineering

Cite this

Casero, R., Burton, R. A. B., Quinn, T. A., Bollensdorff, C., Hales, P., Schneider, J. E., Kohl, P., & Grau, V. (2010). Cardiac valve annulus manual segmentation using computer assisted visual feedback in three-dimensional image data. In 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10 (pp. 738-741). [5626303] https://doi.org/10.1109/IEMBS.2010.5626303