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

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

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

7 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsWilliam A. Pearlman
Place of PublicationBellingham, WA, United States
PublisherPubl by Int Soc for Optical Engineering
Pages932-943
Number of pages12
Volume1199 pt 2
ISBN (Print)0819402389
StatePublished - 1989
EventVisual Communications and Image Processing IV - Philadelphia, PA, USA
Duration: Nov 8 1989Nov 10 1989

Other

OtherVisual Communications and Image Processing IV
CityPhiladelphia, PA, USA
Period11/8/8911/10/89

    Fingerprint

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics

Cite this

Higgins, W. E., Chung, N., & Ritman, E. L. (1989). Semi-automatic extraction of the left-ventricular chamber from 3-D CT cardiac images. In W. A. Pearlman (Ed.), Proceedings of SPIE - The International Society for Optical Engineering (Vol. 1199 pt 2, pp. 932-943). Publ by Int Soc for Optical Engineering.