Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
352-01-007 / 352-01-007 ISMRM Abstract

6D Bloch Model for Fast, Flexible MR Reconstruction with no Homogeneity Assumptions

Primary: Physics & Engineering - Low-Field MRI
Secondary: Acquisition & Reconstruction - Artifacts and Correction Strategies
352-01-007 · New Methods: Acquisition and Reconstruction · Monday, 11 May, 8:20 AM–9:56 AM · Power Pitch Theatre 2
352-01-007 · New Methods: Acquisition and Reconstruction · Monday, 11 May, 8:20 AM–9:56 AM · Power Pitch Theatre 2
Keywords: Concomitant fields Non-AI Image reconstruction Low field B0 Inhomogeneity Physics-Based Model
Accepted
Heng Sun1, Leya Barrientos2, Anja Samardzija1, Horace Z Zhang1, Tao Li2, Yonghyun Ha2, Chenhao Sun2, SAJAD HOSSEINNEZHADIAN2, Flor Parra Rodriguez1, Ryan Gross1, Sebastian Theilenberg2, Guang Yang2, Hemant D Tagare2,3, R. Todd Constable1,2, Gigi Galiana 1,2
1Department of Biomedical Engineering, Yale University, New Haven, United States of America
2Department of Radiology and Biomedical Imaging, Yale University, New Haven, United States of America
3Department of Statistics & Data Science, Yale University, New Haven, United States of America
Presenting Author: Gigi Galiana

Synopsis

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References

1. Koolstra, K., O’Reilly, T., Börnert, P. & Webb, A. Image distortion correction for MRI in low field permanent magnet systems with strong B0 inhomogeneity and gradient field nonlinearities. Magnetic Resonance Materials in Physics, Biology and Medicine 34, 631–642 (2021). https://doi.org/10.1007/s10334-021-00907-2 [doi]
2. Cooley, C. Z. et al. A portable scanner for magnetic resonance imaging of the brain. Nature Biomedical Engineering 5, 229–239 (2020). https://doi.org/10.1038/s41551-020-00641-5 [doi]
3. Lee, N. G., Cui, S. X. & Nayak, K. S. Cartesian MaxGIRF: Model‐based EPI reconstruction incorporating gradient nonlinearity and concomitant field effects. Magnetic Resonance in Medicine (2025). https://doi.org/10.1002/mrm.70113 [doi]
4. Tibrewala, R. et al. First‐Order Spatial Encoding Simulations for Improved Accuracy in the Presence of Strong B0 and Gradient Field Variation. Magnetic Resonance in Medicine (2025). https://doi.org/10.1002/mrm.70160 [doi]
5. Selvaganesan, K. et al. Magnetic resonance imaging using a nonuniform Bo (NuBo) field-cycling magnet. PLOS ONE 18, e0287344 (2023). https://doi.org/10.1371/journal.pone.0287344 [doi]
6. Samardzija A, Sun C, Ha Y, Gross R, Sun H, Parra F, Nixon T, Galiana G, and Constable RT. Localized Gradients in an Open Field-Cycling Low-Field MRI: First Images. Proc. Intl. Soc. Mag. Reson. Med. 33 (2025); 4257.
7. Srinivas, S. A. et al. External Dynamic InTerference Estimation and Removal (EDITER) for low field MRI. Magn Reson Med 87, 614–628 (2022). https://doi.org/10.1002/mrm.28992 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/352-01-007