Why the study?
Does a new multiscale algorithm based on tagging MRI improve myocardial deformation and strain analysis in healthy volunteers and patients?
Does a new multiscale algorithm based on tagging MRI improve myocardial deformation and strain analysis in healthy volunteers and patients?
A new multiscale algorithm for tagging MRI provides a robust analytical method for myocardial deformation and strain analysis.
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May enable flexible strain analysis in tagging MRI; leaves open clinical validation before adoption.
Myocardial deformation and strain can be investigated using suitably encoded cine MRI that admits disambiguation of material motion. Practical limitations currently restrict the analysis to in-plane motion in cross-sections of the heart (2D + time), but the proposed method readily generalizes to 3D + time. We propose a new, promising methodology, which departs from a multiscale algorithm that exploits local scale selection so as to obtain a robust estimate for the velocity gradient tensor field. Time evolution of the deformation tensor is governed by a first-order ordinary differential equation, which is completely determined by this velocity gradient tensor field. We solve this matrix-ODE analytically and present results obtained from healthy volunteers as well as from patient data. The proposed method requires only off-the-shelf algorithms and is readily applicable to planar or volumetric tagging MRI sampled on arbitrary coordinate grids.
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Florack et al. (2010) studied this question.
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