Validating a new methodology for strain estimation from cardiac cine MRI

Ahmed Elnakib, Garth M. Beache, Georgy Gimel'farb, Tamer Inanc, Ayman El-Baz

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations


This paper focuses on validating a novel framework for estimating the functional strain from cine cardiac magnetic resonance imaging (CMRI). The framework consists of three processing steps. First, the left ventricle (LV) wall borders are segmented using a level-set based deformable model. Second, the points on the wall borders are tracked during the cardiac cycle based on solving the Laplace equation between the LV edges. Finally, the circumferential and radial strains are estimated at the inner, mid-wall, and outer borders of the LV wall. The proposed framework is validated using synthetic phantoms of the material strains that account for the physiological features and the LV response during the cardiac cycle. Experimental results on simulated phantom images confirm the accuracy and robustness of our method.

Original languageEnglish (US)
Pages (from-to)277-286
Number of pages10
JournalAIP Conference Proceedings
StatePublished - 2013
Event2013 International Symposium on Computational Models for Life Sciences, CMLS 2013 - Sydney, NSW, Australia
Duration: Nov 27 2013Nov 29 2013

All Science Journal Classification (ASJC) codes

  • General Physics and Astronomy

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