Correction of left ventricle strain signals estimated from tagged MR images

Mina E. Khalil, Ahmed S. Fahmy, Nael F. Osman

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

Abstract

Strain measurement is a quantity used for assessing the regional function of the left ventricular (LV) of the heart. They are computed by tracking the motion of the non-invasive, virtual tags in the cardiac muscle with time. Tracking these tags gives information for each region of the cardiac muscle by quantifying its deformation during contraction (systolic period) and relaxation (diastolic period). However, these strain measurements suffer from inaccuracies caused by the degradation of the tags and the image quality. In this work, numerical simulations are used to investigate the factors contributing to the error in measurements. An empirical model for the estimated strain values is deduced and presented. In addition, a correction method for the measurement errors is proposed based on the empirically-deduced model. The method was validated on real data, and showed potential enhancement by reducing the errors in strain measurements.

Original languageEnglish (US)
Title of host publicationImage and Signal Processing - 4th International Conference, ICISP 2010, Proceedings
Pages559-567
Number of pages9
DOIs
StatePublished - 2010
Event4th International Conference on Image and Signal Processing, ICISP 2010 - Trois-Rivieres, QC, Canada
Duration: Jun 30 2010Jul 2 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6134 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other4th International Conference on Image and Signal Processing, ICISP 2010
Country/TerritoryCanada
CityTrois-Rivieres, QC
Period6/30/107/2/10

Keywords

  • Left ventricle regional function
  • Strain
  • Tagged MR

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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