430-02-006 ISMRM Abstract

Vendor-agnostic 4D Phase Contrast MRI: a complete open-source pipeline for velocities, displacement, and strain analysis

Primary: Acquisition & Reconstruction - Open source software, sequences, and reconstruction algorithms

Secondary: Musculoskeletal - Functional/Dynamic

430-02-006 · Novel Acquisition Strategies and Open-Source Sequences · Tuesday, 12 May, 8:20 AM–10:10 AM · Meeting Room 2.60

Keywords: Velocity & Flow 4D flow MRI Strain Skeletal Muscle Accelerated Acquisition

Accepted

Marta B Maggioni ^1,2, Sabine Räuber^1,2, Katarina Pus^3,4,5, Bostjan Šimunič³, Francesco Santini^1,2

¹Department of Biomedical Engineering, University of Basel, Basel, Switzerland

²Radiology, Division of Radiological Physics, University Hospital of Basel, Basel, Switzerland

³Institute for Kinesiology Research, Science and Research Centre, Koper, Slovenia

⁴Department of Health Sciences, Alma Mater Europaea University, Maribor, Slovenia

⁵Faculty of Sport, University of Ljubljana, Ljubljana, Slovenia

Presenting Author: Marta B Maggioni

Synopsis

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References

1. Markl, M., Frydrychowicz, A., Kozerke, S., Hope, M., & Wieben, O. (2012). 4D flow MRI. Journal of Magnetic Resonance Imaging, 36, 1015–1036. https://doi.org/10.1002/jmri.23632 [doi]

2. Ravi, K. S., Geethanath, S., Vaughan, J. T., Ramesh, P. V., & Nayak, K. S. (2019). PyPulseq: A Python package for MRI pulse sequence design. Journal of Open Source Software, 4, 1725. https://doi.org/10.21105/joss.01725 [doi]

3. Maggioni, M. B., Räuber, S. M., & Santini, F. (2025). Vendor-agnostic, open-source 4D flow. Proceedings of the International Society for Magnetic Resonance in Imaging, 3204.

4. BART Toolbox for Computational Magnetic Resonance Imaging. (n.d.). https://doi.org/10.5281/zenodo.592960 [doi]

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6. Inati, S. J., Naegele, J. D., Zwart, N. R., Roopchansingh, V., Lizak, M. J., Hansen, D. C., Liu, C. Y., Atkinson, D., Kellman, P., Kozerke, S., Xue, H., Campbell-Washburn, A. E., Sørensen, T. S., & Hansen, M. S. (2017). ISMRM raw data format: A proposed standard for MRI raw datasets. Magnetic Resonance in Medicine, 77(1), 411–421. https://doi.org/10.1002/mrm.26089 [doi]

7. Constable, R. T., Rath, K. M., Sinusas, A. J., & Gore, J. C. (1994). Development and evaluation of tracking algorithms for cardiac wall motion analysis using phase velocity MR imaging. Magnetic Resonance in Medicine, 32(1), 33–42. https://doi.org/10.1002/mrm.1910320106 [doi]

8. van Tuijl, R. J., Ruigrok, Y. M., Geurts, L. J., van der Schaaf, I. C., Biessels, G. J., Rinkel, G. J. E., Velthuis, B. K., & Zwanenburg, J. J. M. (2022). Does the internal carotid artery attenuate blood‐flow pulsatility in small vessel disease? A 7 T 4D‐flow MRI study. Journal of Magnetic Resonance Imaging, 56(2), 527–535. https://doi.org/10.1002/jmri.28062 [doi]

9. Deligianni, X., Santini, F., Paoletti, M., et al. (2022). Dynamic magnetic resonance imaging of muscle contraction in facioscapulohumeral muscular dystrophy. Scientific Reports, 12, 7250. https://doi.org/10.1038/s41598-022-11147-2 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/430-02-006