Quantitative susceptibility mapping: Report from the 2016 reconstruction challenge

2017194 citationsJournal Articlebronze Open Access

Authors

Christian Langkammer · Medical University of Graz

Ferdinand Schweser · Buffalo Psychiatric Center

Karin Shmueli · University College London

Christian Kames · University of British Columbia Hospital

Xu Li · Kennedy Krieger Institute

Li Guo · Southern Medical University

Carlos Milovic

Abstract

Because QSM algorithms were optimized to minimize error metrics, the resulting susceptibility maps suffered from over-smoothing and conspicuity loss in fine features such as vessels. As such, the challenge highlighted the need for better numerical image quality criteria. Magn Reson Med 79:1661-1673, 2018. © 2017 International Society for Magnetic Resonance in Medicine.

Topics & Keywords

Advanced MRI Techniques and Applications Advanced Neuroimaging Techniques and Applications MRI in cancer diagnosis

UN Sustainable Development Goals

Partnerships for the goals

Publication Details

Published in: Magnetic Resonance in Medicine

Volume 79, Issue 3, pp. 1661-1673

DOI: 10.1002/mrm.26830

Field-Weighted Citation Impact: 18.83