362-01-015 ISMRM Abstract

An MRI-compatible Phantom Model for Validation of Oscillatory CSF Flow Quantification Techniques

Primary: Physics & Engineering - Phantoms

Secondary: Neuro - Neurofluids

362-01-015 · Neuro Sequences, Applications, and Traveling Phantoms · Monday, 11 May, 8:20 AM–9:15 AM · Digital Posters Row C

Keywords: Validation 4D flow MRI Flow phantom Cerebrospinal fluid (CSF) dynamics

Accepted

Thomas M Clegg ¹, Ernesta Meintjes^2,3,4,5,6,7, Stephen Jermy^2,3,4,5,6,7, Malebogo Ngoepe⁸, James Dicks⁹, Frances C Robertson^{2,3,4,5,6,7,10}

¹Department of Human Biology, Division of Biomedical Engineering, Biomedical Engineering Research Centre, University of Cape Town, Cape Town, South Africa

²University of Cape Town, Cape Town, South Africa

³Human Biology, University of Cape Town, Cape Town, South Africa

⁴Neuroscience Institute, University of Cape Town, Cape Town, South Africa

⁵CUBIC, University of Cape Town, Cape Town, South Africa

⁶Department of Human Biology, University of Cape Town, Cape Town, South Africa

⁷Cape Universities Body Imaging Centre (CUBIC), University of Cape Town, Cape Town, South Africa

⁸University of Cape Town, Centre for research in computational and applied mechanics (CERECAM), South Africa

⁹Department of Mechanical Engineering, Centre for Materials Engineering, University of Cape Town, Cape Town, South Africa

¹⁰Cape Universities Body Imaging Centre (CUBIC), Cape Town, South Africa

Presenting Author: Thomas M Clegg

Synopsis

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References

1. Xie, L., Kang, H., Xu, Q., Chen, M.J., Liao, Y., Thiyagarajan, M., O’Donnell, J., Christensen, D.J., Nicholson, C., Iliff, J.J., Takano, T., Deane, R., Nedergaard, M., 2013. Sleep Drives Metabolite Clearance from the Adult Brain. Science 342, 373–377. https://doi.org/10.1126/science.1241224 [doi]

2. Wang, D.J., Hua, J., Cao, D., Ho, M.-L., 2023. Neurofluids and the glymphatic system: anatomy, physiology, and imaging. BJR 96(1151). 20230016. https://doi.org/10.1259/bjr.20230016 [doi]

3. Vikner, T., Johnson, K. M., Cadman, R. V., Betthauser, T. J., Wilson, R. E., Chin, N., Eisenmenger, L. B., Johnson, S. C., & Rivera-Rivera, L. A. (2024). CSF dynamics throughout the ventricular system using 4D flow MRI: Associations to arterial pulsatility, ventricular volumes, and age. Fluids and Barriers of the CNS, 21(1), 68. https://doi.org/10.1186/s12987-024-00570-4 [doi]

4. Schnell, Susanne, Sameer A. Ansari, Can Wu, et al. 2017. Accelerated Dual- Venc 4D Flow MRI for Neurovascular Applications: Dual- Venc 4D Flow MRI. Journal of Magnetic Resonance Imaging 46 (1): 102–14. https://doi.org/10.1002/jmri.25595. [doi]

5. Sotelo J, Mura J, Hurtado DE, Uribe S. A novel Matlab toolbox for processing 4D Flow MRI data. Proc. ISMRM. 27 (2019) https://github.com/JulioSoteloParraguez/4D-Flow-Matlab-Toolbox

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/362-01-015