Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
560-02-001 ISMRM Abstract

synthBFR: Mapping Whole Brain Total Field to Local Tissue Field Using Deep Learning and Realistic Model-Based Synthetic Data

Primary: Contrast Mechanisms - Susceptibility/QSM
Secondary: Acquisition & Reconstruction - AI methods
560-02-001 · New Developments in QSM II · Wednesday, 13 May, 9:15 AM–10:10 AM · Digital Posters Row A
Keywords: Deep learning Quantitative Susceptibility Mapping (QSM) Background Field Removal Synthetic Data Generation
Accepted
Angela Deng1,2, Mert Sisman1,2, Alexandra G Roberts 1,2, Pascal Spincemaille 2, Alexey Dimov2, Ilhami Kovanlikaya2, Yi Wang2,3
1Electrical & Computer Engineering, Cornell University, Ithaca, United States of America
2Department of Radiology, Weill Cornell Medicine, New York, United States of America
3Biomedical Engineering, Cornell University, Ithaca, United States of America
Presenting Author: Alexandra G Roberts

Synopsis

Motivation:
Goals:
Approach:
Results:
Full abstract & presentation

The full text, figures, and any recorded presentation for this abstract are not shown here. Log in if you are a member or registered attendee with access.

Full abstracts, figures, and presentations for Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition are available to registered attendees. This content becomes freely available to the public roughly two years after the meeting.

To request or purchase access, contact the ISMRM Central Office at info@ismrm.org.

Log in

References

1. IXI Dataset – Brain Development. https://brain-development.org/ixi-dataset/
2. Zhang Y, Brady M, Smith S. Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm. IEEE Trans Med Imaging. 2001;20(1):45-57. doi:10.1109/42.906424 [doi]
3. Ashburner J. Computational anatomy with the SPM software. Magn Reson Imaging. 2009;27(8):1163-1174. doi:10.1016/j.mri.2009.01.006 [doi]
4. Ding SL, Royall JJ, Sunkin SM, et al. Comprehensive cellular-resolution atlas of the adult human brain. J Comp Neurol. 2016;524(16):3127-3481. doi:10.1002/cne.24080 [doi]
5. Marques JP, Meineke J, Milovic C, et al. QSM reconstruction challenge 2.0: A realistic in silico head phantom for MRI data simulation and evaluation of susceptibility mapping procedures. Magn Reson Med. 2021;86(1):526-542. doi:10.1002/mrm.28716 [doi]
6. Liu T, Wisnieff C, Lou M, Chen W, Spincemaille P, Wang Y. Nonlinear formulation of the magnetic field to source relationship for robust quantitative susceptibility mapping. Magn Reson Med. 2013;69(2):467-476. doi:10.1002/mrm.24272 [doi]
7. Dymerska B, Eckstein K, Bachrata B, et al. Phase unwrapping with a rapid opensource minimum spanning tree algorithm (ROMEO). Magn Reson Med. 2021;85(4):2294-2308. doi:10.1002/mrm.28563 [doi]
8. Roberts AG, Romano DJ, Şişman M, et al. Maximum spherical mean value filtering for whole-brain QSM. Magn Reson Med. 2024;91(4):1586-1597. doi:10.1002/mrm.29963 [doi]
9. Liu J, Liu T, de Rochefort L, et al. Morphology enabled dipole inversion for quantitative susceptibility mapping using structural consistency between the magnitude image and the susceptibility map. Neuroimage. 2012;59(3):2560-2568. doi:10.1016/j.neuroimage.2011.08.082 [doi]
10. Liu T, Khalidov I, de Rochefort L, et al. A novel background field removal method for MRI using projection onto dipole fields (PDF). NMR Biomed. 2011;24(9):1129-1136. doi:10.1002/nbm.1670 [doi]
11. Bao L, Li X, Cai C, Chen Z, van Zijl PC. Quantitative Susceptibility Mapping Using Structural Feature Based Collaborative Reconstruction (SFCR) in the Human Brain. IEEE Trans Med Imaging. 2016;35(9):2040-2050. doi:10.1109/TMI.2016.2544958 [doi]
12. Gao Y, Xiong Z, Fazlollahi A, et al. Instant tissue field and magnetic susceptibility mapping from MRI raw phase using Laplacian enhanced deep neural networks. Neuroimage. 2022;259:119410. doi:10.1016/j.neuroimage.2022.119410 [doi]
13. Zhu X, Gao Y, Liu F, Crozier S, Sun H. BFRnet: A deep learning-based MR background field removal method for QSM of the brain containing significant pathological susceptibility sources. Z Med Phys. 2023;33(4):578-590. doi:10.1016/j.zemedi.2022.08.001 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/560-02-001