Semi-automatic extraction of the left-ventricular chamber from 3-D CT cardiac images

William E. Higgins, Namsik Chung, Erik L. Ritman

Research output: Contribution to journalArticlepeer-review

7 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)932-943
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - Nov 1 1989

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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