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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