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Abstract #0366

Multicenter reproducibility of quantitative MRI using vendor-neutral sequences (VENUS)

Agah Karakuzu1,2, Julien Cohen-Adad1,3, and Nikola Stikov1,2
1NeuroPoly Lab, Polytechnique Montreal, Montreal, QC, Canada, 2Montreal Heart Institute, Montreal, QC, Canada, 3Unité de Neuroimagerie Fonctionnelle (UNF), Centre de recherche de l’Institut Universitaire de Gériatrie de Montréal (CRIUGM), Montreal, QC, Canada


Vendor-native implementations can lead to unaccounted variance in quantitative MRI (qMRI). The purpose of this study is to show that fully transparent qMRI workflows coupled with VEndor-NeUtral Sequences (VENUS) improve multicenter reproducibility of quantitative MRI maps across three scanners by two vendors, in phantoms and in-vivo. We developed and deployed a vendor-neutral 3D spoiled gradient-echo (SPGR) sequence on three commercial scanners and showed that vendor-neutral qMRI maps of T1, MTR and MTsat outperform their vendor-native counterparts in terms of reproducibility.

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