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Proceedings Paper

Skeleton-based myocardium segmentation
Author(s): Andre Neubauer; Rainer Wegenkittl
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Paper Abstract

Computer-aided analysis of four-dimensional tomography data plays an increasingly vital role in the field of diagnosis and treatment of heart function deficiencies. A key task for understanding the dynamics involved within a recorded cardiac cycle is to segment the acquired data to identify objects of interest, like the heart muscle (or myocardium) and the left ventricle. In this paper, a new robust and fast semi-automatic algorithm for segmentation of the myocardium from a CT data set is presented. The user marks the myocardium by placing a poly-line on one slice of the data volume. This poly-line forms a skeleton representing the cross-section of the myocardium on this slice. The skeleton is then automatically propagated and adjusted to the other slices in order to create a three-dimensional skeleton of the entire heart muscle. Then each voxel is assigned a value which denotes the voxel's connectivity to the skeleton. The boundaries of the myocardium can then be extracted as an iso-surface in the volume of connectivity values.

Paper Details

Date Published: 9 June 2003
PDF: 12 pages
Proc. SPIE 5009, Visualization and Data Analysis 2003, (9 June 2003); doi: 10.1117/12.473945
Show Author Affiliations
Andre Neubauer, VRVis Research Ctr. (Austria)
Rainer Wegenkittl, VRVis Research Ctr. (Austria)

Published in SPIE Proceedings Vol. 5009:
Visualization and Data Analysis 2003
Robert F. Erbacher; Philip C. Chen; Jonathan C. Roberts; Matti T. Groehn; Katy Boerner, Editor(s)

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