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The 2016 QSM Challenge: Lessons learned and considerations for a future challenge design

Milovic, C; Tejos, C; Acosta-Cabronero, J; Ozbay, PS; Schwesser, F; Marques, JP; Irarrazaval, P; ... Langkammer, C; + view all (2020) The 2016 QSM Challenge: Lessons learned and considerations for a future challenge design. Magnetic Resonance in Medicine , 84 (3) pp. 1624-1637. 10.1002/mrm.28185. Green open access

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Abstract

Purpose: The 4th International Workshop on MRI Phase Contrast and QSM (2016, Graz, Austria) hosted the first QSM Challenge. A single‐orientation gradient recalled echo acquisition was provided, along with COSMOS and the χ33 STI component as ground truths. The submitted solutions differed more than expected depending on the error metric used for optimization and were generally over‐regularized. This raised (unanswered) questions about the ground truths and the metrics utilized. Methods We investigated the influence of background field remnants by applying additional filters. We also estimated the anisotropic contributions from the STI tensor to the apparent susceptibility to amend the χ33 ground truth and to investigate the impact on the reconstructions. Lastly, we used forward simulations from the COSMOS reconstruction to investigate the impact noise had on the metric scores. / Results: Reconstructions compared against the amended STI ground truth returned lower errors. We show that the background field remnants had a minor impact in the errors. In the absence of inconsistencies, all metrics converged to the same regularization weights, whereas structural similarity index metric was more insensitive to such inconsistencies. / Conclusion: There was a mismatch between the provided data and the ground truths due to the presence of unaccounted anisotropic susceptibility contributions and noise. Given the lack of reliable ground truths when using in vivo acquisitions, simulations are suggested for future QSM Challenges.

Type: Article
Title: The 2016 QSM Challenge: Lessons learned and considerations for a future challenge design
Open access status: An open access version is available from UCL Discovery
DOI: 10.1002/mrm.28185
Publisher version: http://dx.doi.org/10.1002/mrm.28185
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: FANSI, magnetic susceptibility, quantitative susceptibility mapping, total variation
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10108090
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