Key result
An elastic image registration algorithm applied to cine cardiac MRI successfully estimated strain rate tensor fields, enabling classification of normal and dysfunctional contraction patterns.
Why the study?
Can an elastic image registration algorithm accurately estimate the strain rate tensor in cine cardiac MRI to classify normal and dysfunctional contraction patterns?
Can an elastic image registration algorithm accurately estimate the strain rate tensor in cine cardiac MRI to classify normal and dysfunctional contraction patterns?
Elastic image registration offers a viable alternative for estimating myocardial strain rate tensors from standard cine MRI when specialized sequences like tagged or phase-contrast MRI are unavailable.
Answers are grounded in this paper and cite their sources.
May enable strain analysis from routine cine MRI; leaves open prospective validation before clinical use.
In this paper we propose an alternative method to estimate and visualize the strain rate tensor (ST) 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, an elastic image registration algorithm is used to estimate the movement of the myocardium at each point. Our experiments with real data prove that the registration algorithm provides a useful deformation field to estimate the ST fields. A classification between regional normal and dysfunctional contraction patterns, as compared with professional diagnosis, points out that the parameters extracted from the estimated ST can represent these patterns.
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Vegas‐Sánchez‐Ferrero et al. (2008) studied Myocardial contraction dysfunction. Elastic image registration algorithm for strain rate tensor estimation vs. Professional diagnosis was evaluated on Classification between regional normal and dysfunctional contraction patterns. An elastic image registration algorithm applied to cine cardiac MRI successfully estimated strain rate tensor fields, enabling classification of normal and dysfunctional contraction patterns.
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