Motion-compensated compressed sensing for dynamic contrast-enhanced MRI using regional spatiotemporal sparsity and region tracking: Block low-rank sparsity with motion-guidance (BLOSM)

• Published in: Magnetic resonance in medicine Vol. 72; no. 4; pp. 1028 - 1038
• Main Authors: Chen, Xiao, Salerno, Michael, Yang, Yang, Epstein, Frederick H.
• Format: Journal Article
• Language: English
• Published: United States Blackwell Publishing Ltd 01.10.2014; Wiley Subscription Services, Inc
• Subjects: Algorithms; cardiac MRI; compressed sensing; Contrast Media; Data Compression - methods; dynamic contrast-enhanced MRI; Heart Diseases - pathology; Humans; Image Enhancement - methods; Image Interpretation, Computer-Assisted - methods; Magnetic Resonance Imaging - methods; Magnetic Resonance Imaging, Cine - methods; Motion; motion compensation; Pattern Recognition, Automated - methods; regional sparsity; Reproducibility of Results; respiratory artifact; Sensitivity and Specificity; Spatio-Temporal Analysis; regional sparsity; respiratory artifact; compressed sensing; cardiac MRI; dynamic contrast-enhanced MRI; motion compensation

Purpose Dynamic contrast‐enhanced MRI of the heart is well‐suited for acceleration with compressed sensing (CS) due to its spatiotemporal sparsity; however, respiratory motion can degrade sparsity and lead to image artifacts. We sought to develop a motion‐compensated CS method for this application....