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Abstract #1629

Deployment of prospective ADC correction of gradient nonlinearity bias in myelofibrosis clinical trial

Dariya Malyarenko1, Yuxi Pang1, Ajit Devaraj2, Johannes Peeters3, Harry Friel2, Kristen M Pettit4, Moshe Talpaz4, Brian D Ross1, Gary D Luker1, and Thomas L Chenevert1
1Radiology, University of Michigan, Ann Arbor, MI, United States, 2Philips Healthcare, Highland Heights, OH, United States, 3Philips MR Sclinical Science, Best, Netherlands, 4Internal Medicine, University of Michigan, Ann Arbor, MI, United States


Apparent diffusion coefficient (ADC) metric is evaluated as a potential alternative to biopsy for disease grading and therapy response assessment in bone marrow of myelofibrosis (MF) patients. Spatially dependent bias in diffusion weighting due to systematic gradient nonlinearity (GNL) results in false heterogeneity of ADC maps over the imaged bone space. Here we illustrate deployment of prospective GNL bias correction based on technology developed in an academic industrial partnership to reduce technical variability of ADC in a MF clinical imaging trial.

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