Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
606-03-006 ISMRM Abstract

AUTOSEQ-based Magnetic Resonance Fingerprinting at 6.5 mT: A Framework for Low-Field Quantitative Breast Imaging

Primary: Physics & Engineering - Low-Field MRI
Secondary: Body - Breast
606-03-006 · Low Field MRI Applications · Thursday, 14 May, 4:00 PM–5:50 PM · Auditorium 2
Keywords: Quantitative MRI Magnetic Resoance Fingerprinting Breast MRI Low field mri Ultra low-field MRI
Accepted
Huaijin Gao 1,2, Sheng Shen3, Stephen E Ogier4,5, David E Korenchan1, Mansi A Saksena6,7, Matthew S Rosen1, Kathryn E Keenan4, Neha Koonjoo1
1Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, United States of America
2College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China
3Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, United States of America
4National Institute of Standards and Technology, Boulder, United States of America
5University of Colorado Boulder, Boulder, United States of America
6Massachusetts General Hospital, Division of Breast Imaging, Boston, United States of America
7Harvard Medical School, Boston, United States of America
Presenting Author: Huaijin Gao

Synopsis

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References

1. Kimberly, W. T. et al. Brain imaging with portable low-field MRI. Nature Reviews Bioengineering https://doi.org/10.1038/s44222-023-00086-w (2023) doi:10.1038/s44222-023-00086-w. [doi]
2. Shen, S. et al. Breast imaging with an ultra-low field MRI scanner: a pilot study. medRxiv 2024.04.01.24305081 (2024) doi:10.1101/2024.04.01.24305081. [doi]
3. Mallikourti, V. et al. Field cycling imaging to characterise breast cancer at low and ultra-low magnetic fields below 0.2 T. Communications Medicine 4, 221 (2024). doi:10.1038/s43856-024-00644-2. [doi]
4. Santyr, G. E., Henkelman, R. M. & Bronskill, M. J. Spin locking for magnetic resonance imaging with application to human breast. Magn Reson Med 12, 25–37 (1989). doi:10.1002/mrm.1910120104. [doi]
5. Ma, D. et al. Magnetic resonance fingerprinting. Nature 495, 187–192 (2013). doi:10.1038/nature11971. [doi]
6. Zhu B., Liu J., Koonjoo N., Rosen B. & Rosen M.S. AUTOmated pulse SEQuence generation (AUTOSEQ) using Bayesian reinforcement learning in an MRI physics simulation environment. in Proceedings of the 26th Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM) program number 0438 (Paris, France, 2018).
7. Shen, S. et al. B1-corrected breast T1 mapping at ultralow field. Magn Reson Med 13, (2025). doi:10.1002/mrm.30602. [doi]
8. Reichert, W. T. A Simple Multi-Parametric Quantitative MRI Phantom. Master Thesis. (Faculty of the Graduate School of Vanderbilt University, Nashville, Tennessee, 2021).

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/606-03-006