Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
631-02-002 / 631-02-002 ISMRM Abstract

Optimized High-Resolution ASL Perfusion Imaging with Joint Motion-Correction and Low-Rank Reconstruction

Primary: Contrast Mechanisms - Perfusion
Secondary: Acquisition & Reconstruction - Motion Correction: Neuro
631-02-002 · Everything About Contrast Mechanism · Thursday, 14 May, 1:40 PM–3:16 PM · Roof Terrace
631-02-002 · Everything About Contrast Mechanism · Thursday, 14 May, 1:40 PM–3:16 PM · Roof Terrace
Keywords: Motion Correction Perfusion Arterial Spin Labelling (ASL) Locally Low Rank
Accepted
Minhao Hu 1, Frederik Lange1, Peter Jezzard1, Mark Chiew2,3, Thomas Okell1
1Centre for Integrative Neuroimaging, FMRIB Centre, University of Oxford, Oxford, United Kingdom
2Physical Sciences Platform, Sunnybrook Research Institute, Toronto, Canada
3Department of Medical Biophysics, University of Toronto, Toronto, Canada
Presenting Author: Minhao Hu

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. Kashyap S, Oliveira ÍAF, Uludağ K. Feasibility of high-resolution perfusion imaging using arterial spin labeling MRI at 3 Tesla. Front Physiol. 2024;14:1271254. doi:10.3389/fphys.2023.1271254 [doi]
2. Spann SM, Shao X, Wang DJj, et al. Robust single-shot acquisition of high resolution whole brain ASL images by combining time-dependent 2D CAPIRINHA sampling with spatio-temporal TGV reconstruction. NeuroImage. 2020;206:116337. doi:10.1016/j.neuroimage.2019.116337 [doi]
3. Maleki N, Dai W, Alsop DC. Optimization of background suppression for arterial spin labeling perfusion imaging. Magn Reson Mater Phys Biol Med. 2012;25(2):127-133. doi:10.1007/s10334-011-0286-3 [doi]
4. Garcia DM, Duhamel G, Alsop DC. Efficiency of inversion pulses for background suppressed arterial spin labeling. Magn Reson Med. 2005;54(2):366-372. doi:10.1002/mrm.20556 [doi]
5. Thomasson D, Purdy D, Finn JP. Phase-Modulated binomial RF pulses for fast spectrally-selective musculoskeletal imaging. Magn Reson Med. 1996;35(4):563-568. doi:10.1002/mrm.1910350416 [doi]
6. Hernandez-Garcia L, Vazquez AL, Rowe DB. Complex-valued analysis of arterial spin labeling-based functional magnetic resonance imaging signals. Magn Reson Med. 2009;62(6):1597-1608. doi:10.1002/mrm.22106 [doi]
7. Okell TW, Chiew M. Optimization of 4D combined angiography and perfusion using radial imaging and arterial spin labeling. Magn Reson Med. 2023;89(5):1853-1870. doi:10.1002/mrm.29558 [doi]
8. Cordero-Grande L, Teixeira RPAG, Hughes EJ, Hutter J, Price AN, Hajnal JV. Sensitivity Encoding for Aligned Multishot Magnetic Resonance Reconstruction. IEEE Trans Comput Imaging. 2016;2(3):266-280. doi:10.1109/TCI.2016.2557069 [doi]
9. Chen X, Wu W, Chiew M. Motion compensated structured low-rank reconstruction for 3D multi-shot EPI. Magn Reson Med. 2024;91(6):2443-2458. doi:10.1002/mrm.30019 [doi]
10. Günther M, Oshio K, Feinberg DA. Single-shot 3D imaging techniques improve arterial spin labeling perfusion measurements. Magn Reson Med. 2005;54(2):491-498. doi:10.1002/mrm.20580 [doi]
11. Woods JG, Chappell MA, Okell TW. Designing and comparing optimized pseudo-continuous Arterial Spin Labeling protocols for measurement of cerebral blood flow. NeuroImage. 2020;223:117246. doi:10.1016/j.neuroimage.2020.117246 [doi]
12. Hu M, Lange FJ, Jezzard P, Woods JG, Chiew M, Okell TW. Inter-shot Motion Correction of Segmented 3D-GRASE ASL Perfusion Imaging with Self-Navigation and CAIPI. medRxiv. Preprint posted online September 19, 2025:2025.09.18.25335960. doi:10.1101/2025.09.18.25335960 [doi]
13. Smith SM. Fast robust automated brain extraction. Hum Brain Mapp. 2002;17(3):143-155. doi:10.1002/hbm.10062 [doi]
14. Patenaude B, Smith SM, Kennedy DN, Jenkinson M. A Bayesian model of shape and appearance for subcortical brain segmentation. NeuroImage. 2011;56(3):907-922. doi:10.1016/j.neuroimage.2011.02.046 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/631-02-002