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Proceedings Paper

Semi-Automatic Extraction Of The Left-Ventricular Chamber From 3-D CT Cardiac Images
Author(s): William E. Higgins; Namsik Chung; Erik L. Ritman
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Paper Abstract

Given a high-resolution three-dimensional (3-D) volumetric image (volume) of the heart, one can estimate the volume and 3-D spatial distribution of left ventricular (LV) myocardial muscle mass. The first stage of this problem is to extract the LV chamber. The prevalent techniques for solving this problem require manual editing of the data on a computer console. Unfortunately, manual editing is subject to operator errors and biases, only draws upon two-dimensional views, and is extremely time consuming. We describe a semi-automatic method for extracting the volume and shape of the LV chamber from a 3-D CT image (or volume) of the heart. For a given volume, the operator first performs some simple manual edits. Then, an automated stage, which incorporates concepts from 3-D mathematical morphology and topology and the maximum-homogeneity filter, extracts the LV chamber. The method gives more consistent measurements and demands considerably less operator time than manual slice-editing.

Paper Details

Date Published: 1 November 1989
PDF: 12 pages
Proc. SPIE 1199, Visual Communications and Image Processing IV, (1 November 1989); doi: 10.1117/12.970103
Show Author Affiliations
William E. Higgins, Pennsylvania State University (United States)
Namsik Chung, Mayo Medical School (United States)
Erik L. Ritman, Mayo Medical School (United States)

Published in SPIE Proceedings Vol. 1199:
Visual Communications and Image Processing IV
William A. Pearlman, Editor(s)

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