Abstract #4149
Assessing DWI Data Consistency Across MRI Manufacturers and Imaging Sites
Enamul H. Bhuiyan1, Qingfei Luo2,3, Pottumarthi Prasad4, Xiaodong Guo5, Ping-Shou Zhong6, Muge Karaman2,7, Kezhou Wang2, Laura Frey-Law8, James C. Ford9, Stephani P. Sutherland10, Tor Wager11, Patrick Sadil10, Micah Johnson10, Martin Lindquist10, Robert J. McCarthy12, Asokumar Buvanendran12, John Burns13, Joshua J. Jacobs14, Xiaohong Joe Zhou2,3,7, and the A2CPS Consortium15
1Center for Magnetic Resonance Research, College of Medicine, University of Illinois Chicago, Chicago, IL, United States, 2Center for Magnetic Resonance Research, University of Illinois Chicago, Chicago, IL, United States, 3Depratment of Radiology, University of Illinois Chicago, Chicago, IL, United States, 4Center for Advanced MR Research, NorthShore Research Institute, Endeavor Health, Evanston, IL, United States, 5MRI Research Center, University of Chicago, Chicago, IL, United States, 6Department of Math, Statistics and Computer Science, University of Illinois Chicago, Chicago, IL, United States, 7Department of Biomedical Engineering, University of Illinois Chicago, Chicago, IL, United States, 8Department of Physical Therapy and Rehabilitation Science, Carver College of Medicine, University of Iowa, Iowa City, IA, United States, 9Geisel School of Medicine at Dartmouth, Hanover, NH, United States, 10Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States, 11Presidential Cluster in Neuroscience, Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, United States, 12Department of Anesthesiology, Rush University Medical Center, Chicago, IL, United States, 13Department of Psychiatry, Rush University Medical Center, Chicago, IL, United States, 14Department of Orthopaedic Surgery, Rush University Medical Center, Chicago, IL, United States, 15National Institutes of Health (NIH), https://a2cps.org/, Bethesda, MD, United States
Synopsis
Keywords: Data Processing, Analysis/Processing, Diffusion-Weighted Imaging, Quantitative DWI, Multi-center data, DWI data consistency, Data harmonization
Motivation: Ensuring consistency across MRI scanners from various manufacturers is essential for reliable multicenter DWI studies and accurate clinical and research data interpretation.
Goal(s): This study evaluates consistency of advanced DWI metrics across GE, Philips, and Siemens MRI systems to standardize data for clinical trials and research.
Approach: DWI data were acquired from traveling subjects and a larger cohort across 3T scanners from three manufacturers. Preprocessing generated DWI metric maps, and voxel-wise averages of the metrics were estimated for inter-vendor comparison.
Results: A considerable consistency in DWI metrics was observed, supported by high intraclass correlation coefficients and low coefficients of variation.
Impact: This study offers insights into DWI data consistency for multicenter neuroimaging studies involving advanced DWI across major MRI manufacturers.
How to access this content:
For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.
After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.
After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.
Click here for more information on becoming a member.
