Paper Info
Title
Strain Rate Tensor estimation in cine cardiac MRI based on elastic image registration
Abstract
In this work we propose an alternative method to estimate and visualize the Strain Rate Tensor (SRT) in Magnetic Resonance Images (MRI) when Phase Contrast MRI (PCMRI) and Tagged MRI (TMRI) are not available. This alternative is based on image processing techniques. Concretely, image registration algorithms are used to estimate the movement of the myocardium at each point. Additionally, a consistency checking method is presented to validate the accuracy of the estimates when no golden standard is available. Results prove that the consistency checking method provides an upper bound of the mean squared error of the estimate. Our experiments with real data show that the registration algorithm provides a useful deformation field to estimate the SRT fields. A classification between regional normal and dysfunctional contraction patterns, as compared with experts diagnosis, points out that the parameters extracted from the estimated SRT can represent these patterns. Additionally, a scheme for visualizing and analyzing the local behavior of the SRT field is presented.
Year
DOI
Venue
2008
10.1109/CVPRW.2008.4562968
CVPR Workshops
Keywords
DocType
Volume
upper bound,phase contrast,magnetic resonance image,image registration,strain rate
Conference
2008
Issue
ISSN
ISBN
1
2160-7508 E-ISBN : 978-1-4244-2340-8
978-1-4244-2340-8
Citations 
PageRank 
References 
2
0.38
17
Authors
7
Name
Order
Citations
PageRank
Gonzalo Vegas-Sánchez-Ferrero113918.88
Antonio Tristan-Vega218716.88
Lucilio Cordero-Grande314016.15
Pablo Casaseca-de-la-Higuera420.38
Santiago Aja-Fernández537831.66
Marcos Martín-Fernández620925.16
Carlos Alberola-López748252.95