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Abstract #2516

Cross Site Reproducibility for standard and ultra-high b-value diffusion imaging in high-performance gradient (MAGNUS 3T) MRI systems.

Nastaren Abad1, Chitresh Bhushan1, Luca Marinelli1, Eric Fiveland1, Eric Budesheim1, Keith Park1, Justin Ricci1, Vincent M Magnotta2, Merry Mani2, James H. Holmes2, Matthew Sodoma2, Alan McCarville2, Andrew Alexander3, Steven R Kecskemeti3, Michael J Anderle3, Jose Guerrero Gonzalez3, Lisette LeMerise3, Jeffrey McGovern4, and Thomas K.F. Foo1
1Technology & Innovation Center, GE HealthCare, Niskayuna, NY, United States, 2University of Iowa, Iowa City, IA, United States, 3University of Wisconsin - Madison, Madison, WI, United States, 4GE HealthCare, Waukesha, WI, United States

Synopsis

Keywords: White Matter, Diffusion/other diffusion imaging techniques, High performance gradient inserts, cross-site, repeatability, reproducibility

Motivation: Cross-site reproducibility of ultra-high b-value diffusion MRI across multiple MAGNUS MRI systems is important for multi-site studies

Goal(s): To disentangle the contributions of physiological fluctuations vs. manufacturing tolerances to inform future cross-site studies for advanced and novel brain microstructural modelling and quantification

Approach: A traveling volunteer was recruited and imaged at three different MAGNUS (2nd generation) systems. An expanded multi-shell parameter space ranging from b=500-30,000 s/mm2 was analysed quantitatively to assess cross-site reproducibility.

Results: Statistical comparisons across sites for global white matter and white matter parcels highlight good agreement without harmonization efforts.

Impact: This dataset is expected to lay the ground work for multicenter collaboration for novel and advanced brain microstructural modelling and quantification. It can further be used to evaluate differences across scanners and to show the consistency of pipeline outputs.

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Keywords