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Abstract #3399

Progress toward on-line implementation of vendor-provided prospective correction for non-uniform diffusion weighting due to gradient nonlinearity

Dariya Malyarenko1, Ajit Devaraj2, Ek T Tan3, Johan Tondeur4, Johannes Peeters5, Yuxi Pang1, Lisa J Wilmes6, Michael A Jacobs7, David C Newitt6, and Thomas L Chenevert1

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

Feasibility of the prospective correction for non-uniform diffusion weighting due to gradient nonlinearity using scanner-specific gradient design information was previously demonstrated by our academic-industrial partnership (AIP). Here we report on the progress toward implementation of the prospective correction by leading MRI vendor participants of the AIP on their respective scanner platforms. The vendor-provided on-line correction is benchmarked by comparison to previously validated retrospective off-line processing for uniform gel and flood phantoms, and a human volunteer. Vendor efforts enable comprehensive bias correction for standardization of quantitative DWI applications in multi-center clinical trial environments.

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