Why the study?
Does compartment-based k-t principal component analysis improve temporal fidelity and accuracy of dynamic signal intensity changes compared to conventional k-t PCA in 3D myocardial perfusion imaging?
Does compartment-based k-t principal component analysis improve temporal fidelity and accuracy of dynamic signal intensity changes compared to conventional k-t PCA in 3D myocardial perfusion imaging?
Compartment-based k-t PCA enables highly accelerated 3D myocardial perfusion imaging with improved temporal fidelity compared to conventional methods.
May support accelerated 3D myocardial perfusion MRI; leaves open clinical validation in patient cohorts.
Three-dimensional myocardial perfusion imaging requires significant acceleration of data acquisition to achieve whole-heart coverage with adequate spatial and temporal resolution. The present article introduces a compartment-based k-t principal component analysis reconstruction approach, which permits three-dimensional perfusion imaging at 10-fold nominal acceleration. Using numerical simulations, it is shown that the compartment-based method results in accurate representations of dynamic signal intensity changes with significant improvements of temporal fidelity in comparison to conventional k-t principal component analysis reconstructions. Comparison of the two methods based on rest and stress three-dimensional perfusion data acquired with 2.3 × 2.3 × 10 mm(3) during a 225 msec acquisition window in patients confirms the findings and demonstrates the potential of compartment-based k-t principal component analysis for highly accelerated three-dimensional perfusion imaging.
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Vitanis et al. (2010) studied this question.
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