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Abstract #2463

A Comparison of Background Field Removal and “Single-Step” Algorithms in Realistic Phantoms: Towards QSM Challenge 3.0?

Carlos Milovic1, Christian Langkammer2, José Pedro Marques3, and Karin Shmueli1
1Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, 2Department of Neurology, Medical University of Graz, Graz, Austria, 3Donders Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, Netherlands


The 2019 QSM Reconstruction Challenge compared how different algorithms reconstructed QSM from true local field maps. However, this neglects the importance of residual background fields, and how they degrade the solutions. Here, we used a realistic “total field” simulation to compare three different background field removal methods, and to estimate the susceptibility maps resulting from three state-of-the-art QSM algorithms. We also compared the performance of two single-step algorithms, that use the total field map as an input. Our results showed that the two-step Weak-Harmonic QSM method is robust against residual fields and achieved the lowest error scores, outperforming single-step methods.

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