PURPOSE: In this study, an iterative k-t principal component analysis (PCA) algorithm with nonrigid frame-to-frame motion correction is proposed for dynamic contrast-enhanced three-dimensional perfusion imaging. METHODS: An iterative k-t PCA algorithm was implemented with regularization using training data corrected for frame-to-frame motion in the x-pc domain. Motion information was extracted using shape-constrained nonrigid image registration of the composite of training and k-t undersampled data. The approach was tested for 10-fold k-t undersampling using computer simulations and in vivo data sets corrupted by respiratory motion artifacts owing to free-breathing or interrupted breath-holds. Results were compared to breath-held reference data. RESULTS: Motion-corrected k-t PCA image reconstruction resolved residual aliasing. Signal intensity curves extracted from the myocardium were close to those obtained from the breath-held reference. Upslopes were found to be more homogeneous in space when using the k-t PCA approach with motion correction. CONCLUSIONS: Iterative k-t PCA with nonrigid motion correction permits correction of respiratory motion artifacts in three-dimensional first-pass myocardial perfusion imaging.
PURPOSE: In this study, an iterative k-t principal component analysis (PCA) algorithm with nonrigid frame-to-frame motion correction is proposed for dynamic contrast-enhanced three-dimensional perfusion imaging. METHODS: An iterative k-t PCA algorithm was implemented with regularization using training data corrected for frame-to-frame motion in the x-pc domain. Motion information was extracted using shape-constrained nonrigid image registration of the composite of training and k-t undersampled data. The approach was tested for 10-fold k-t undersampling using computer simulations and in vivo data sets corrupted by respiratory motion artifacts owing to free-breathing or interrupted breath-holds. Results were compared to breath-held reference data. RESULTS: Motion-corrected k-t PCA image reconstruction resolved residual aliasing. Signal intensity curves extracted from the myocardium were close to those obtained from the breath-held reference. Upslopes were found to be more homogeneous in space when using the k-t PCA approach with motion correction. CONCLUSIONS: Iterative k-t PCA with nonrigid motion correction permits correction of respiratory motion artifacts in three-dimensional first-pass myocardial perfusion imaging.
Authors: Sebastian Schmitter; Xiaoping Wu; Kâmil Uğurbil; Pierre-François Van de Moortele Journal: Magn Reson Med Date: 2014-11-19 Impact factor: 4.668
Authors: Jason Kraig Mendes; Ganesh Adluru; Devavrat Likhite; Merlin J Fair; Peter D Gatehouse; Ye Tian; Apoorva Pedgaonkar; Brent Wilson; Edward V R DiBella Journal: Magn Reson Med Date: 2019-10-31 Impact factor: 4.668
Authors: Joao Tourais; Cian M Scannell; Torben Schneider; Ebraham Alskaf; Richard Crawley; Filippo Bosio; Javier Sanchez-Gonzalez; Mariya Doneva; Christophe Schülke; Jakob Meineke; Jochen Keupp; Jouke Smink; Marcel Breeuwer; Amedeo Chiribiri; Markus Henningsson; Teresa Correia Journal: Front Cardiovasc Med Date: 2022-04-29