Two clustering techniques of myocardium using C-SENC images: A comparison with multi-stage clustering

Shereen M. El-Metwally, Nael F. Osman, Yasser M. Kadah, Ahmed S. Fahmy

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

Abstract

Simultaneous imaging of the myocardial function and viability is possible using the C-SENC acquisition technique previously proposed. The technique produces three gray-scale images that are combined to produce an image containing both function and viability information. In this paper, two techniques for combining the C-SENC images based on image clustering are proposed and compared. The first technique uses the pixel intensity in the 3 images to generate and cluster a 3D vector space. The second technique applies the clustering algorithm to the individual images then, the resulting clustered images are combined to produce a color image carrying the function and viability information. Finally, a comparison has been made with the multi-stage clustering technique previously proposed.

Original languageEnglish (US)
Title of host publicationICCES'07 - 2007 International Conference on Computer Engineering and Systems
Pages215-219
Number of pages5
DOIs
StatePublished - Dec 1 2007
Event2007 International Conference on Computer Engineering and Systems, ICCES'07 - Cairo, Egypt
Duration: Nov 27 2007Nov 29 2007

Publication series

NameICCES'07 - 2007 International Conference on Computer Engineering and Systems

Other

Other2007 International Conference on Computer Engineering and Systems, ICCES'07
CountryEgypt
CityCairo
Period11/27/0711/29/07

ASJC Scopus subject areas

  • Computational Mechanics
  • Control and Systems Engineering

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