Recommendations towards standards for quantitative MRI (qMRI) and outstanding needs
Year: 2019
Type: article
Abstract: LEVEL OF EVIDENCE: 5 Technical Efficacy: Stage 5 J. Magn. Reson. Imaging 2019.
DOI: 10.1002/jmri.26598
Authors: Kathryn E. Keenan, Joshua R. Biller, Jana G. Delfino, Michael A. Boss, Mark D. Does, Jeffrey L. Evelhoch, Mark A. Griswold, Jeffrey L. Gunter, R. Scott Hinks, Stuart W. Hoffman, Geena Kim, Riccardo Lattanzi, Xiaojuan Li, Luca Marinelli, Gregory J. Metzger, Pratik Mukherjee, Robert J. Nordstrom, Adele P. Peskin, Elena Perez, Stephen E. Russek, Berkman Sahiner, Natalie Serkova, Amita Shukla‐Dave, Michael Steckner, Karl F. Stupic, Lisa J. Wilmes, Holden H. Wu, Huiming Zhang, Edward F. Jackson, Daniel C. Sullivan
Institutions: National Institute of Standards and Technology, Physical Measurement Laboratory, United States Food and Drug Administration, Center for Devices and Radiological Health, University of Colorado Boulder, Vanderbilt University, Merck & Co., Inc., Rahway, NJ, USA (United States), Case Western Reserve University, Mayo Clinic, United States Department of Veterans Affairs, Veterans Health Administration, Rehabilitation Research and Development Service, Regis University, New York University, Cleveland Clinic, GE Global Research (United States), University of Minnesota, University of California, San Francisco, National Cancer Institute, University of Colorado Anschutz, Memorial Sloan Kettering Cancer Center, University of California, Los Angeles, University of Wisconsin–Madison, Duke Medical Center
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: green
Awards: G1488117610, G1940028141, G1981129842, G4782707809, MRI Toolbox for Rodent Brain Microstructure Imaging, Bruker 9.4T/ 20cm BioSpec MR Scanner for Colorado Animal Imaging Shared Resources, G7189986796, G7520216043, Quantitative Imaging for Assessing Breast Cancer Response to Treatment, University of Colorado Cancer Center Support Grant
OpenAlex ID: W2911733085