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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