Journal article
Clinical Integration of Automated Processing for Brain Quantitative Susceptibility Mapping: Multi-Site Reproducibility and Single-Site Robustness
P Spincemaille, Z Liu, S Zhang, I Kovanlikaya, M Ippoliti, M Makowski, R Watts, L de Rochefort, V Venkatraman, P Desmond, MD Santin, S Lehéricy, BH Kopell, P Péran, Y Wang
Journal of Neuroimaging | WILEY | Published : 2019
DOI: 10.1111/jon.12658
Abstract
BACKGROUND AND PURPOSE: Quantitative susceptibility mapping (QSM) of the brain has become highly reproducible and has applications in an expanding array of diseases. To translate QSM from bench to bedside, it is important to automate its reconstruction immediately after data acquisition. In this work, a server system that automatically reconstructs QSM and exchange images with the scanner using the DICOM standard is demonstrated using a multi-site, multi-vendor reproducibility study and a large, single-site, multi-scanner image quality review study in a clinical environment. METHODS: A single healthy subject was scanned with a 3D multi-echo gradient echo sequence at nine sites around the wor..
View full abstractGrants
Awarded by NIH Office of the Director
Funding Acknowledgements
This work was supported in part by the NIH R01NS090464, R01NS095562, R01CA181566, R21EB024366, and S10OD021782. Ludovic de Rochefort, Yi Wang, and Pascal Spincemaille are inventors on QSM-related patents issued to Cornell University. Yi Wang and Pascal Spincemaille hold equity in Medimagemetric LLC. The remaining authors declare that they have no disclosures.