Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
565-03-013 ISMRM Abstract

Reducing MR-ARFI Scan Time Using a Physiological Noise-Free Reference Image and Polynomial Fitting for Noise Removal

Primary: Interventional - MR-Guided Focused Ultrasound
Secondary: Brain Function and fMRI - fMRI Analysis
565-03-013 · Mesoscale Functional MRI and Acquisition Strategies · Wednesday, 13 May, 1:40 PM–2:35 PM · Digital Posters Row F
Keywords: Focused Ultrasound Physiological noise MR-acoustic radiation force imaging
Accepted
Shota Hodono 1, David G Norris1
1Donders Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, Netherlands
Presenting Author: Shota Hodono

Synopsis

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References

1. Chen, J., Watkins, R., & Pauly, K. B. (2010). Optimization of encoding gradients for MR‐ARFI. Magnetic Resonance in Medicine: An Official Journal of the International Society for Magnetic Resonance in Medicine, 63(4), 1050-1058.
2. Odéen, Henrik, Allison H. Payne, and Dennis L. Parker. "Magnetic Resonance Acoustic Radiation Force Imaging (MR‐ARFI)." Journal of Magnetic Resonance Imaging (2025). https://doi.org/10.1002/jmri.29712 [doi]
3. Chen, Jing, Ron Watkins, and Kim Butts Pauly. "Optimization of encoding gradients for MR‐ARFI." Magnetic Resonance in Medicine: An Official Journal of the International Society for Magnetic Resonance in Medicine 63.4 (2010): 1050-1058.
4. Eldirdiri, Abubakr, et al. "MR‐ARFI to evaluate intensity variability and enhance targeting of FUS: A brain study in rats." Magnetic Resonance in Medicine (2025).https://doi.org/10.1002/mrm.70039 [doi]
5. Chan, Kwok-Shing, and José P. Marques. "SEPIA-Susceptibility mapping pipeline tool for phase images." bioRxiv (2020): 2020-07.https://doi.org/10.1016/j.neuroimage.2020.117611 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/565-03-013