Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
361-05-003 ISMRM Abstract

STAGE-simulated FGATIR for Deep Brain Stimulation Planning: Equal Contrast with Less Scan Time

Primary: Acquisition & Reconstruction - Pulse Sequence Design: Neuro
Secondary: Acquisition & Reconstruction - Quantitative Imaging: head and neck
361-05-003 · Quantitative Imaging: Head and Neck I · Monday, 11 May, 4:10 PM–5:05 PM · Digital Posters Row B
Keywords: Abbreviated/Rapid MRI Deep Brain Stimulation Rapid imaging FGATIR Quantitative synthetic MRI
Accepted
Paul A Rowley1, Kiarash Ghassaban2, Sean K Sethi2, Ying Wang2, Samuel Barnes1, Paul Kokeny2, Karen Tong 1
1Department of Radiology, Loma Linda University, Loma Linda, United States of America
2SpinTech MRI, Bingham Farms, United States of America
Presenting Author: Karen Tong

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. Sudhyadhom A, Haq IU, Foote KD, Okun MS, Bova FJ. A high resolution and high contrast MRI for differentiation of subcortical structures for DBS targeting: the Fast Gray Matter Acquisition T1 Inversion Recovery (FGATIR). Neuroimage. 2009 Aug;47 Suppl 2:T44-52. doi: 10.1016/j.neuroimage.2009.04.018. Epub 2009 Apr 10. PMID: 19362595. [doi] [pmid]
2. Haacke EM, Xu Q, Kokeny P, et al. Strategically Acquired Gradient Echo (STAGE) Imaging, part IV: Constrained Reconstruction of White Noise (CROWN) Processing as a Means to Improve Signal-to-Noise in STAGE Imaging at 3 Tesla. Magn Reson Imaging. 2024;107:55-68. doi:10.1016/j.mri.2024.01.001 [doi]
3. Wang Y, Chen Y, Wu D, et al. STrategically Acquired Gradient Echo (STAGE) imaging, part II: Correcting for RF inhomogeneities in estimating T1 and proton density. Magn Reson Imaging. 2018;46:140-150. doi:10.1016/j.mri.2017.10.006 [doi]
4. Sado DM, Maestrini V, Piechnik SK, et al. Noncontrast myocardial T1 mapping using cardiovascular magnetic resonance for iron overload. J Magn Reson Imaging. 2015;41(6):1505-1511. doi:10.1002/jmri.24727 [doi]
5. Saranathan M, Cogliandro G, Hicks T, Patterson D, Vachha B, Hader A, Shazeeb MS, Cacciola A. Comprehensive Segmentation of Deep Grey Nuclei From Structural MRI Data. Hum Brain Mapp. 2025 Oct 1;46(14):e70350. doi: 10.1002/hbm.70350. [doi]
6. Placidi G, Alecci M, Sotgiu A. Post-processing noise removal algorithm for magnetic resonance imaging based on edge detection and wavelet analysis. Phys Med Biol. 2003 Jul 7;48(13):1987-95. doi: 10.1088/0031-9155/48/13/310. PMID: 12884930. [doi] [pmid]
7. Benjamini, Y. and Hochberg, Y. (1995), Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing. Journal of the Royal Statistical Society: Series B (Methodological), 57: 289-300. https://doi.org/10.1111/j.2517-6161.1995.tb02031.x [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/361-05-003