Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
301-04-001 ISMRM Abstract

Joint Spatiotemporal Phase Unwrapping and Background Field Removal for QSM via Physics-Constrained Optimization

Accepted
Asli Alpman1, Giulia Debiasi2, Chunlei Liu 1,3
1Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, United States of America
2Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, United States of America
3Helen Wills Neuroscience Institute, University of California, Berkeley, United States of America
Presenting Author: Chunlei Liu

Synopsis

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References

1. Cronin MJ, Wang N, Decker KS, Wei H, Zhu W-Z, Liu C. Exploring the origins of Echo-time-dependent quantitative susceptibility mapping (QSM) measurements in healthy tissue and cerebral microbleeds. NeuroImage. 2017 Apr;149:98–113. doi: 10.1016/j.neuroimage.2017.01.053. [doi]
2. A. Alpman, C. Liu, Evaluating the Static Dephasing Regime Assumption for Gradient Echo Signal in Brain Cells, in: Proceedings of the ISMRM Annual Meeting and Exhibition, 2025.
3. Spees WM, Buhl N, Sun P, Ackerman JJH, Neil JJ, Garbow JR. Quantification and compensation of eddy-current-induced magnetic-field gradients. Journal of Magnetic Resonance. 2011 Sept;212(1):116–23. doi:10.1016/j.jmr.2011.06.016 [doi]
4. Schweser F, Robinson SD, de Rochefort L, Li W, Bredies K. An illustrated comparison of processing methods for phase MRI and QSM: Removal of background field contributions from sources outside the region of interest. NMR in Biomedicine. 2016 Oct 7;30(4). doi:10.1002/nbm.3604 [doi]
5. Dymerska B, Eckstein K, Bachrata B, Siow B, Trattnig S, Shmueli K, et al. Phase unwrapping with a rapid opensource minimum spanning tree algorithm (Romeo). Magnetic Resonance in Medicine. 2020 Oct 26;85(4):2294–308. doi:10.1002/mrm.28563 [doi]
6. Marques JP, Meineke J, Milovic C, Bilgic B, Chan K, Hedouin R, et al. QSM Reconstruction Challenge 2.0: A realistic in silico head phantom for MRI data simulation and evaluation of susceptibility mapping procedures. Magnetic Resonance in Medicine. 2021 Feb 26;86(1):526–42. doi:10.1002/mrm.28716 [doi]
7. Wei H, Dibb R, Zhou Y, Sun Y, Xu J, Wang N, et al. Streaking artifact reduction for quantitative susceptibility mapping of sources with large dynamic range. NMR in Biomedicine. 2015 Aug 27;28(10):1294–303. doi:10.1002/nbm.3383 [doi]

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