Regional cardiac function assessment in 4D CT: Comparison between SQUEEZ and ejection fraction

Amir Pourmorteza, Karl H. Schuleri, Daniel A. Herzka, Albert C. Lardo, Elliot R. McVeigh

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

5 Scopus citations

Abstract

Recent advances in computed tomography (CT) imaging technology allow fine anatomical structures such as endocardial trabeculae to be resolved. We have developed a method to detect and track such features on the endocardium to extract a measure that reflects local myocardial contraction with minimal human operator interaction. The relative motion of these surface features were used to represent the local contraction of the endocardial surface with a metric we termed stretch quantifier of endocardial engraved zones (SQUEEZ). The results were compared against CT function analysis software available through the scanner vendor. SQUEEZ showed significant difference between infarct and remote regions (p<0.0001) as verified by delayed enhanced magnetic resonance imaging. The vendor software showed inferior spatial resolution and stair-step artifacts in regional function maps.

Original languageEnglish (US)
Title of host publication2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012
Pages4966-4969
Number of pages4
DOIs
StatePublished - Dec 14 2012
Event34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012 - San Diego, CA, United States
Duration: Aug 28 2012Sep 1 2012

Publication series

NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN (Print)1557-170X

Other

Other34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012
Country/TerritoryUnited States
CitySan Diego, CA
Period8/28/129/1/12

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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