Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
466-04-004 ISMRM Abstract

Evaluating Field Map Reproducibility Utilizing an Open Source, Vendor Independent B0 Shimming Tool

Primary: Physics & Engineering - Shims
Secondary: Acquisition & Reconstruction - Open source software, sequences, and reconstruction algorithms
466-04-004 · Magnets and Shims · Tuesday, 12 May, 2:35 PM–3:30 PM · Digital Posters Row G
Keywords: Shims Open-Source Multivendor
Accepted
Jayden C Pothoof 1,2, Niklas Wehkamp3, Maximillian Egan1,4, Scott Peltier1,4,5, Yun Jiang2,6,7, Jeffrey A Fessler2,7,8, Douglas C Noll6, Maxim Zaitsev3,9,10,11,12,13, Jon-Fredrik Nielsen2,6,7,14,15
1Functional MRI Laboratory, Department of Radiology, University of Michigan, Ann Arbor, United States of America
2Department of Biomedical Engineering, University of Michigan, Ann Arbor, United States of America
3Division of Medical Physics, Department of Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
4Biomedical Engineering, University of Michigan, Ann Arbor, United States of America
5Michigan Alzheimer Disease Research Center, Ann Arbor, United States of America
6University of Michigan, Ann Arbor, United States of America
7Department of Radiology, University of Michigan, Ann Arbor, United States of America
8Department of Electrical and Computer Engineering, University of Michigan, Ann Arbor, United States of America
9University Medical Center Freiburg, Freiburg, Germany
10Division of Medical Physics, Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Freiburg, Germany
11University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
12Department of Radiology, Medical Physics, University Medical Center Freiburg, Freiburg, Germany
13Division of Medical Physics, Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
14Functional MRI Laboratory, Department of Radiology, University of Michigan, Ann Arbor, United States of America
15Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, United States of America
Presenting Author: Jayden C Pothoof

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References

1. Jayden Pothoof, Niklas Wehkamp, Jeffrey A Fessler, Douglas Noll, Maxim Zaitsev, Jon-Fredrik Nielsen. Open-Source, Multi-Vendor B0 Shimming Protocol. In: Proc Int Soc Magn Reson Med. Vol 33.; 2025:3479.
2. Jon-Fredrik Nielsen and Douglas C. Noll. TOPPE: A framework for rapid prototyping of MR pulse sequences. In: Magnetic Resonance in Medicine 79.6 (2018), pp. 3128–3134. doi: https://doi.org/10.1002/mrm.26990. [doi]
3. Kelvin J. Layton et al. Pulseq: A rapid and hardware-independent pulse sequence prototyping framework. In: Magnetic Resonance in Medicine 77.4 (2017), pp. 1544–1552. doi: https://doi.org/10.1002/mrm.26235. [doi]
4. Claire Yilin Lin, J A Fessler. Efficient regularized field map estimation in 3D MRI. IEEE Trans. Computational Imaging, 6:1451-8, 2020. doi: http://doi.org/10.1109/TCI.2020.3031082 [doi]
5. Barbara Dymerska et al. Phase unwrapping with a rapid opensource minimum spanning tree algorithm (ROMEO). In: Magnetic Res (2020) doi: https://doi.org/10.1002/mrm.28563 [doi]
6. Smith SM. Fast robust automated brain extraction. Hum Brain Mapp. 2002 Nov;17(3):143-55. doi: 10.1002/hbm.10062. [doi]
7. Jenkinson M, Beckmann CF, Behrens TE, Woolrich MW, Smith SM. FSL. Neuroimage. 2012 Aug 15;62(2):782-90. doi: 10.1016/j.neuroimage.2011.09.015. [doi]
8. G. H. Glover. High Order Shimming (HOS). Internal document, Stanford University / GE Healthcare, 11 February 2015 (original version 4 January 2009; initial date 29 August 2002)
9. Xiaodong Zhong, Yevgeniya M. Lyubich, Timothy DeVito, Saurabh Shah, Jack Knight-Scott. Improving in vivo 1H-MRS with Robust Automated Shim Techniques: A Comparison Study of FASTESTMAP and GRESHIM. In: Proc Int Soc Magn Reson Med. Vol 20.; 2012:4397.
10. B. Billot, D.N. Greve, O. Puonti, A. Thielscher, K. Van Leemput, B. Fischl, A.V. Dalca, J.E. Iglesias Medical. SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining. In: Image Analysis (2023) doi: https://doi.org/10.1016/j.media.2023.102789 [doi]

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http://echo.ismrm.org/p/ISMRM2026/466-04-004