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International Journal of Biomedical Imaging
Volume 2013, Article ID 728624, 14 pages
http://dx.doi.org/10.1155/2013/728624
Research Article

A Comparison of Hyperelastic Warping of PET Images with Tagged MRI for the Analysis of Cardiac Deformation

1Department of Mechanical Engineering, University of Washington, Seattle Washington, Stevens Way, P.O. Box 352600, Seattle, WA 98195, USA
2Synarc Inc., Newark, CA 94560, USA
3Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
4Department of Radiology, University of California San Francisco, San Francisco, CA 94143, USA

Received 30 January 2013; Revised 18 April 2013; Accepted 7 May 2013

Academic Editor: Koon-Pong Wong

Copyright © 2013 Alexander I. Veress et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The objectives of the following research were to evaluate the utility of a deformable image registration technique known as hyperelastic warping for the measurement of local strains in the left ventricle through the analysis of clinical, gated PET image datasets. Two normal human male subjects were sequentially imaged with PET and tagged MRI imaging. Strain predictions were made for systolic contraction using warping analyses of the PET images and HARP based strain analyses of the MRI images. Coefficient of determination values were computed for the comparison of circumferential and radial strain predictions produced by each methodology. There was good correspondence between the methodologies, with values of 0.78 for the radial strains of both hearts and from an and for the circumferential strains. The strain predictions were not statistically different . A series of sensitivity results indicated that the methodology was relatively insensitive to alterations in image intensity, random image noise, and alterations in fiber structure. This study demonstrated that warping was able to provide strain predictions of systolic contraction of the LV consistent with those provided by tagged MRI Warping.