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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