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Abstract #1780

Correction of nonuniform diffusion weighting in DWI using vendor-provided gradient characteristics

Dariya I Malyarenko1, Yuxi Pang1, Lisa J Wilmes2, Ek Tsoon Tan3, John E Kirsch4, Julien Sénégas5, Michael A Jacobs6, 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 Healthcare, Malvern, PA, United States, 5Philips Research Laboratories, Hamburg, Germany, 6Radiology and Radiological Science, John Hopkins University School of Medicine, Baltimore, MD, United States

System-specific gradient nonlinearity (GNL) causes spatially nonuniform weighting in diffusion weighted imaging (DWI). This leads to systematic bias and variability in derived apparent diffusion coefficient (ADC) maps, diminishing their quantitative utility for multi-site, multi-platform clinical trials. An ADC error correction methodology for three-direction DWI acquisition was developed previously using an empiric system GNL approximation. Here we demonstrate implementation of correction for three clinical scanners using the system-specific gradient-channel fields derived from vendor-provided spherical harmonic tables. Implemented correction substantially improves precision and removes ADC bias for ice-water phantoms. Comparable accuracy and performance is achieved across all gradient platforms.

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