title: Compressed sensing MRI: a review of the clinical literature.
abstract: MRI is one of the most dynamic and safe imaging techniques available in the clinic today. However, MRI acquisitions tend to be slow, limiting patient throughput and limiting potential indications for use while driving up costs. Compressed sensing (CS) is a method for accelerating MRI acquisition by acquiring less data through undersampling of k-space. This has the potential to mitigate the time-intensiveness of MRI. The limited body of research evaluating the effects of CS on MR images has been mostly positive with regards to its potential as a clinical tool. Studies have successfully accelerated MRI with this technology, with varying degrees of success. However, more must be performed before its diagnostic efficacy and benefits are clear. Studies involving a greater number radiologists and images must be completed, rating CS based on its diagnostic efficacy. Also, standardized methods for determining optimal imaging parameters must be developed.
authors.affiliation: 1 Albert Einstein College of Medicine, The Bronx, NY, USA.
authors.forename: Oren N
authors.initials: ON
authors.lastname: Jaspan
authors.affiliation: 2 The Gruss Magnetic Resonance Research Center, Department of Radiology, Albert Einstein College of Medicine, The Bronx, NY, USA.
authors.forename: Roman
authors.initials: R
authors.lastname: Fleysher
authors.affiliation: 3 The Gruss Magnetic Resonance Research Center, Departments of Radiology, Psychiatry and Behavioral Sciences and The Dominick P. Purpura Department of Neuroscience, Albert Einstein College of Medicine, The Bronx, NY, USA.
authors.forename: Michael L
authors.initials: ML
authors.lastname: Lipton
mesh_terms: D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D013995:Time