Using Deep Learning to Accelerate Knee MRI at 3 T: Results of an Interchangeability Study
Michael P. Recht, Jure Žbontar, Daniel K. Sodickson, Florian Knöll, Nafissa Yakubova, Anuroop Sriram, Tullie Murrell, Aaron Defazio, Michael Rabbat, Leon Rybak, Mitchell Kline, Gina A. Ciavarra, Erin F. Alaia, Mohammad Samim, William R. Walter, Dana J. Lin, Yvonne W. Lui, Matthew J. Muckley, Zhengnan Huang, Patricia M. Johnson, Ruben Stern, C. Lawrence Zitnick
Abstract
An optimized DL model allowed acceleration of knee images that performed interchangeably with standard images for detection of internal derangement of the knee. Importantly, readers preferred the quality of accelerated images to that of standard clinical images.
Topics & Concepts
MedicineInterchangeabilityMedical physicsArtificial intelligenceRadiologyComputer scienceProgramming languageAdvanced MRI Techniques and ApplicationsMedical Imaging Techniques and ApplicationsAtomic and Subatomic Physics Research