Cardiac MR image segmentation using deformable models

A. Gupta, L. von Kurowski, A. Singh, D. Geiger, C. C. Liang, M. Y. Chiu, L. P. Adler, M. Haacke, D. L. Wilson

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


We describe efficient and robust deformable model based techniques for segmentation of ventricular boundaries in cardiac MR images. Starting with a user specified approximate boundary or an interior point of the left ventricle for one ED slice, our algorithms generate contours for inner and outer walls, and automatically propagate them to other slices in the ED phase (spatial propagation) and to slices in all the phases (temporal propagation) of the cardiac study. The algorithms are based on steepest descent as well as dynamic programming strategies integrated via multiscale analysis. The ventricular boundaries are used to construct a 3-D model for visualization and to compute volume based diagnostic quantities. The algorithms have been incorporated into a user interface which can load, sort, visualize, and analyze a cardiac study in less than 10 minutes. The system has been tested on a dozen volunteers and patients (1000+ images) with excellent results.

Original languageEnglish (US)
Title of host publicationComputers in Cardiology
PublisherPubl by IEEE
Number of pages4
ISBN (Print)0818654708
StatePublished - 1993
EventProceedings of the 1993 Conference on Computers in Cardiology - London, UK
Duration: Sep 5 1993Sep 8 1993

Publication series

NameComputers in Cardiology
ISSN (Print)0276-6574


OtherProceedings of the 1993 Conference on Computers in Cardiology
CityLondon, UK

ASJC Scopus subject areas

  • Computer Science Applications
  • Cardiology and Cardiovascular Medicine


Dive into the research topics of 'Cardiac MR image segmentation using deformable models'. Together they form a unique fingerprint.

Cite this