Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
304-02-007 ISMRM Abstract

Rapid multi-shell mesoscale dMRI using accelerated Romer-EPTI with joint x-q attention network constrained reconstruction

Primary: Diffusion - Diffusion Reconstruction
Secondary: Acquisition & Reconstruction - Image Reconstruction: AI
304-02-007 · Diffusion Acquisition and Reconstruction · Monday, 11 May, 8:20 AM–10:10 AM · Ballroom East
Keywords: AI/ML Image Reconstruction Diffusion Reconstruction
Accepted
Kaibo Tang 1,2, Zijing Dong2,3, Lawrence L Wald2,3,4, Fuyixue Wang2,3
1Department of Electrical and Computer Engineering, Boston University, Boston, United States of America
2Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, United States of America
3Harvard Medical School, Boston, United States of America
4Harvard-MIT Health Sciences and Technology, Cambridge, United States of America
Presenting Author: Kaibo Tang

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. Song AW, Chang HC, Petty C, Guidon A, Chen NK. Improved Delineation of Short Cortical Association Fibers and Gray/White Matter Boundary Using Whole-Brain Three-Dimensional Diffusion Tensor Imaging at Submillimeter Spatial Resolution. Brain Connect. 2014;4(9):636-640. doi:10.1089/brain.2014.0270 [doi]
2. Marchant JK, Ferris NG, Grass D, et al. Mesoscale Brain Mapping: Bridging Scales and Modalities in Neuroimaging - A Symposium Review. Neuroinformatics. Published online September 23, 2024. doi:10.1007/s12021-024-09686-2 [doi]
3. Chang HC, Sundman M, Petit L, et al. Human brain diffusion tensor imaging at submillimeter isotropic resolution on a 3Tesla clinical MRI scanner. NeuroImage. 2015;118:667-675. doi:10.1016/j.neuroimage.2015.06.016 [doi]
4. Setsompop K, Fan Q, Stockmann J, et al. High-resolution in vivo diffusion imaging of the human brain with generalized slice dithered enhanced resolution: Simultaneous multislice (gSlider-SMS). Magn Reson Med. 2018;79(1):141-151. doi:10.1002/mrm.26653 [doi]
5. Wang F, Bilgic B, Dong Z, et al. Motion-robust sub-millimeter isotropic diffusion imaging through Motion Corrected Generalized Slice Dithered Enhanced Resolution (MC-gSlider) acquisition. Magn Reson Med. 2018;80(5):1891. doi:10.1002/mrm.27196 [doi]
6. Liao C, Stockmann J, Tian Q, et al. High-fidelity, high-isotropic resolution diffusion imaging through gSlider acquisition with B1+ and T1 corrections and integrated ΔB0/Rx shim array. Magn Reson Med. 2019;83(1):56. doi:10.1002/mrm.27899 [doi]
7. Wu W, Poser BA, Douaud G, et al. High-resolution diffusion MRI at 7T using a three-dimensional multi-slab acquisition. NeuroImage. 2016;143:1-14. doi:10.1016/j.neuroimage.2016.08.054 [doi]
8. Balasubramanian M, Mulkern RV, Neil JJ, Maier SE, Polimeni JR. Probing in vivo cortical myeloarchitecture in humans via line-scan diffusion acquisitions at 7T with 250–500 micron radial resolution. Magn Reson Med. 2020;85(1):390. doi:10.1002/mrm.28419 [doi]
9. Jensen JH, Helpern JA, Ramani A, Lu H, Kaczynski K. Diffusional kurtosis imaging: The quantification of non‐gaussian water diffusion by means of magnetic resonance imaging. Magn Reson Med. 2005;53(6):1432-1440. doi:10.1002/mrm.20508 [doi]
10. Fieremans E, Jensen JH, Helpern JA. White matter characterization with diffusional kurtosis imaging. NeuroImage. 2011;58(1):177-188. doi:10.1016/j.neuroimage.2011.06.006 [doi]
11. Zhang H, Schneider T, Wheeler-Kingshott CA, Alexander DC. NODDI: Practical in vivo neurite orientation dispersion and density imaging of the human brain. NeuroImage. 2012;61(4):1000-1016. doi:10.1016/j.neuroimage.2012.03.072 [doi]
12. Palombo M, Ianus A, Guerreri M, et al. SANDI: A compartment-based model for non-invasive apparent soma and neurite imaging by diffusion MRI. NeuroImage. 2020;215:116835. doi:10.1016/j.neuroimage.2020.116835 [doi]
13. Dong Z, Reese TG, Lee H, et al. Romer-EPTI: Rotating-view motion-robust super-resolution EPTI for SNR-efficient distortion-free in-vivo mesoscale dMRI and microstructure imaging. Magn Reson Med. 2025;93(4):1535-1555. doi:10.1002/mrm.30365 [doi]
14. Dong Z, Polimeni JR, Wald LL, Wang F. Mesoscale distortion-free in-vivo dMRI at 7T using ROtating-view Motion-robust supEr Resolution EPTI (Romer-EPTI). In: Proceedings of the 32nd Annual Meeting of ISMRM. 2023:0541.
15. Wang F, Dong Z, Lee HH, Huang SY, Polimeni JR, Wald LL. High-SNR whole-brain microstructure diffusion MRI using Romer-EPTI. In: Proceedings of the 32nd Annual Meeting of ISMRM. 2023:0690.
16. Dong Z, Polimeni JR, Wald LL, Wang F. SuperRes-EPTI: in-vivo mesoscale distortion-free dMRI at 500μm-isotropic resolution using short-TE EPTI with rotating-view super resolution. In: Proceedings of the 31st Annual Meeting of ISMRM. 2022:3488.
17. Tang K, Wald LL, Dong Z, Wang F. Accelerated Romer-EPTI using physics-driven, joint x-q attention-network regularized reconstruction for fast mesoscale diffusion MRI. In: Proceedings of the 34th Annual Meeting of ISMRM. 2025:0695.
18. Perez E, Strub F, De Vries H, Dumoulin V, Courville A. FiLM: Visual Reasoning with a General Conditioning Layer. Proc AAAI Conf Artif Intell. 2018;32(1). doi:10.1609/aaai.v32i1.11671 [doi]
19. Wang F, Dong Z, Tian Q, et al. In vivo human whole-brain Connectom diffusion MRI dataset at 760 µm isotropic resolution. Sci Data. 2021;8(1):122. doi:10.1038/s41597-021-00904-z [doi]
20. Descoteaux M, Angelino E, Fitzgibbons S, Deriche R. Regularized, fast, and robust analytical Q-ball imaging. Magn Reson Med. 2007;58(3):497-510. doi:10.1002/mrm.21277 [doi]
21. Ahmad R, Bouman CA, Buzzard GT, et al. Plug-and-Play Methods for Magnetic Resonance Imaging: Using Denoisers for Image Recovery. IEEE Signal Process Mag. 2020;37(1):105-116. doi:10.1109/MSP.2019.2949470 [doi]
22. Zhang K, Li Y, Zuo W, Zhang L, Van Gool L, Timofte R. Plug-and-Play Image Restoration With Deep Denoiser Prior. IEEE Trans Pattern Anal Mach Intell. 2022;44(10):6360-6376. doi:10.1109/TPAMI.2021.3088914 [doi]
23. Venkatakrishnan SV, Bouman CA, Wohlberg B. Plug-and-Play priors for model based reconstruction. In: 2013 IEEE Global Conference on Signal and Information Processing. 2013:945-948. doi:10.1109/GlobalSIP.2013.6737048 [doi]
24. Chan SH, Wang X, Elgendy OA. Plug-and-Play ADMM for Image Restoration: Fixed-Point Convergence and Applications. IEEE Trans Comput Imaging. 2017;3(1):84-98. doi:10.1109/TCI.2016.2629286 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/304-02-007