Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
352-01-008 / 352-01-008 ISMRM Abstract

A validation dataset for 4D in vivo time-resolved imaging

Primary: Acquisition & Reconstruction - Open source software, sequences, and reconstruction algorithms
Secondary: Analysis Methods - Data Processing
352-01-008 · New Methods: Acquisition and Reconstruction · Monday, 11 May, 8:20 AM–9:56 AM · Power Pitch Theatre 2
352-01-008 · New Methods: Acquisition and Reconstruction · Monday, 11 May, 8:20 AM–9:56 AM · Power Pitch Theatre 2
Keywords: Data Acquisition Validation Motion 4d mri Biomechanics
Accepted
Max H.C. van Riel 1, David G.J. Heesterbeek1, Martijn Froeling2, Cornelis A van den Berg1, Alessandro A Sbrizzi1
1Computational Imaging Group for MRI Therapy & Diagnostics, Department of Radiotherapy, University Medical Center Utrecht, Utrecht, Netherlands
2Precision Imaging Group, Department of Radiology, University Medical Center Utrecht, Utrecht, Netherlands
Presenting Author: Max H.C. van Riel

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. Yerly J, Roy CW, Milani B, Eyre K, Raifee MJ, Stuber M. High on sparsity: Interbin compensation of cardiac motion for improved assessment of left-ventricular function using 5D whole-heart MRI. Magn Reson Med. 2025;93(3):975-992. doi:10.1002/mrm.30323 [doi]
2. Olausson TE, Terpstra ML, Huttinga NRF, et al. Free-running time-resolved first-pass myocardial perfusion using a multi-scale dynamics decomposition: CMR-MOTUS. Magn Reson Mater Phys Biol Med. Published online September 23, 2025. doi:10.1007/s10334-025-01291-x [doi]
3. Tan F, Zhu X, Chan M, et al. Motion-compensated low-rank reconstruction for simultaneous structural and functional UTE lung MRI. Magn Reson Med. 2023;90(3):1101-1113. doi:10.1002/mrm.29703 [doi]
4. Chen J, Christodoulou AG, Han P, et al. Abdominal MR Multitasking for radiotherapy treatment planning: A motion-resolved and multicontrast 3D imaging approach. Magn Reson Med. 2025;93(1):108-120. doi:10.1002/mrm.30256 [doi]
5. Keijnemans K, Schakel T, Lecoeur B, et al. Enabling in vivo comparisons of different four-dimensional magnetic resonance imaging sequences for radiotherapy guidance using visual biofeedback. Phys Imaging Radiat Oncol. 2025;35:100815. doi:10.1016/j.phro.2025.100815 [doi]
6. Mazzoli V, Gottwald LM, Peper ES, et al. Accelerated 4D phase contrast MRI in skeletal muscle contraction. Magn Reson Med. 2018;80(5):1799-1811. doi:10.1002/mrm.27158 [doi]
7. Froeling M. QMRTools: a Mathematica toolbox for quantitative MRI analysis. J Open Source Softw. 2019;4(38):1204. doi:10.21105/joss.01204 [doi]
8. Prieto C, Doneva M, Usman M, et al. Highly efficient respiratory motion compensated free-breathing coronary mra using golden-step Cartesian acquisition. J Magn Reson Imaging. 2015;41(3):738-746. doi:10.1002/jmri.24602 [doi]
9. Blumenthal M, Heide M, Holme C, et al. mrirecon/bart: version 0.9.00. Published online December 6, 2023. doi:10.5281/zenodo.10277939 [doi]
10. Heesterbeek DGJ, van Riel MHC, Sheombarsing RSS, et al. Quasi-static in vivo elastography from internal displacement information only. arXiv. Preprint posted online October 14, 2025. doi:10.48550/arXiv.2510.12609 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/352-01-008