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Abstract #1645

Quantifying deviations from gradient design in multi-platform longitudinal DWI QC for on-scanner correction of diffusion weighting bias

Dariya I Malyarenko1, Yuxi Pang1, Lisa J Wilmes2, Ek T Tan3, Johan Tondeur4, Ajit Devaraj5, Julien Sénégas6, Johannes Peeters7, John E Kirsch8, Michael A Jacobs9, David C Newitt2, and Thomas L Chenevert1

1Radiology, University of Michigan, Ann Arbor, MI, United States, 2Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States, 3GE Global Research, Niskayuna, NY, United States, 4Siemens Medical Solutions, Cary, NC, United States, 5Philips Research Laboratories, Cambridge, MA, United States, 6Philips Research Laboratories, Hamburg, Germany, 7Philips MR Clinical Science, Best, Netherlands, 8Radiology, Massachusetts General Hospital, Boston, MA, United States, 9Radiology and Radiological Science, John Hopkins University School of Medicine, Baltimore, MD, United States

The most practical correction of nonuniform diffusion weighting due to gradient nonlinearity would use scanner-specific gradient design information similar to current mitigation of geometric image distortions. To check the feasibility of this approach in a multi-center, multi-scanner setting, longitudinal DWI quality control studies using a quantitative diffusion phantom were performed on representative MRI platforms in collaboration with three vendors. Here we report preliminary results for proposed descriptive metrics that adequately reflect the amount and source of deviations from system gradient design to guide implementation of comprehensive bias correction for quantitative DWI applications.

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