PANDA-T1ρ: Integrating principal component analysis and dictionary learning for fast T1ρ mapping.
Journal:
Magnetic resonance in medicine
Published Date:
Feb 14, 2014
Abstract
PURPOSE: Long scanning time greatly hinders the widespread application of spin-lattice relaxation in rotating frame (T1ρ) in clinics. In this study, a novel method is proposed to reconstruct the T1ρ-weighted images from undersampled k-space data and hence accelerate the acquisition of T1ρ imaging.
Authors
Keywords
Algorithms
Brain
Computer Simulation
Data Interpretation, Statistical
Humans
Image Enhancement
Image Interpretation, Computer-Assisted
Machine Learning
Magnetic Resonance Imaging
Models, Statistical
Pattern Recognition, Automated
Principal Component Analysis
Reproducibility of Results
Sensitivity and Specificity
Spinal Cord
Subtraction Technique
Systems Integration