Journal article

Clinical Integration of Automated Processing for Brain Quantitative Susceptibility Mapping: Multi-Site Reproducibility and Single-Site Robustness

Pascal Spincemaille, Zhe Liu, Shun Zhang, Ilhami Kovanlikaya, Matteo Ippoliti, Marcus Makowski, Richard Watts, Ludovic de Rochefort, Vijay Venkatraman, Patricia Desmond, Mathieu D Santin, Stephane Lehericy, Brian H Kopell, Patrice Peran, Yi Wang

JOURNAL OF NEUROIMAGING | WILEY | Published : 2019

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..

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Grants

Awarded by NIH


Awarded by NATIONAL CANCER INSTITUTE


Awarded by NATIONAL INSTITUTE OF BIOMEDICAL IMAGING AND BIOENGINEERING


Awarded by NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE


Awarded by OFFICE OF THE DIRECTOR, NATIONAL INSTITUTES OF HEALTH


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.