QSM reconstruction challenge 2.0: Design and report of results
Magnetic Resonance in Medicine2021Vol. 86(3), pp. 1241–1255
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Berkin Bilgic̦, Christian Langkammer, José P. Marques, Jakob Meineke, Carlos Milovic, Ferdinand Schweser
Abstract
The synthetic data provide a consistent framework to test the accuracy and robustness of QSM algorithms in the presence of noise, calcifications and minor voxel dephasing effects. Total Variation-based algorithms produced the best results among all metrics. Future QSM challenges should assess whether this good performance with synthetic datasets translates to more realistic scenarios, where background fields and dipole-incompatible phase contributions are included.
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