Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
665-04-005 ISMRM Abstract

Multiscale imaging of human PINK1-mutant brain organoids: linking quantitative MRI and holotomography

Primary: Contrast Mechanisms - Microstructure
Secondary: Preclinical Animal & in vitro MR - Biology, Models, Methods
665-04-005 · MR in Organoid/Phantom/Plant/Serum · Thursday, 14 May, 2:35 PM–3:30 PM · Digital Posters Row F
Keywords: Diffusion kurtosis imaging Brain organoids Multiparametric quantitative MRI Parkinsons Disease High-Resolution Computed Tomography
Accepted
Nina Luethi 1, Francisco J Fritz2,3, Linn Streubel-Gallasch4, Jordi Carstens5, Tim Salditt5, Thorsten Feiweier6,7,8, Jannik Prasuhn4,9,10,11, Peter Schramm1, Norbert Brüggemann4,9, Christine Klein4, Philip Seibler4, Siawoosh Mohammadi1,3,12,13,14
1Department of Neuroradiology, University of Luebeck, Luebeck, Germany
2Institut für Systemische Neurowissenschaften, Universitätsklinikum Hamburg Eppendorf, Hamburg, Germany
3Department of Systems Neurosciences, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
4Institute of Neurogenetics, University of Luebeck, Luebeck, Germany
5Institute for X-ray Physics, University of Goettingen, Göttingen, Germany
6Siemens Healthcare GmbH, Erlangen, Germany
7Neurology Applications Development, Siemens Healthcare GmbH, Erlangen, Germany
8MR Research and Clinical Translation, Siemens Healthineers AG, Erlangen, Germany
9Section of Movement Disorders, Department of Neurology, University Hospital Schleswig-Holstein, Kiel, Germany
10Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, United States of America
11F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, United States of America
12Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
13Max Planck Research Group MR Physics, Max Planck Institute for Human Development, Berlin, Germany
14Center of Brain, Behaviour, and Metabolism, University of Luebeck, Luebeck, Germany
Presenting Author: Nina Luethi

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References

1. L. M. Lange und C. Klein, „PINK1 Type of Young-Onset Parkinson Disease“, in GeneRe-views®, M. P. Adam, J. Feldman, G. M. Mirzaa, R. A. Pagon, S. E. Wallace, und A. Amemiya, Hrsg., Seattle (WA): University of Washington, Seattle, 1993. Zugegriffen: 26. Oktober 2025. Available here: http://www.ncbi.nlm.nih.gov/books/NBK26472/
2. J. Jo u. a., „Midbrain-like Organoids from Human Pluripotent Stem Cells Contain Func-tional Dopaminergic and Neuromelanin-Producing Neurons“, Cell Stem Cell, Bd. 19, Nr. 2, S. 248–257, Aug. 2016, doi: 10.1016/j.stem.2016.07.005. [doi]
3. J. Frohn u. a., „3D virtual histology of human pancreatic tissue by multiscale phase-contrast X-ray tomography“, J Synchrotron Rad, Bd. 27, Nr. 6, S. 1707–1719, Nov. 2020, doi: 10.1107/S1600577520011327. [doi]
4. J. Lucht, P. Meyer, L. M. Lohse, und T. Salditt, „HoToPy: A toolbox for X-ray holo-tomography in Python“, 6. Oktober 2025, arXiv: arXiv:2506.11567. doi: 10.48550/arXiv.2506.11567. [doi]
5. F. Fritz, J. Oeschger, O. Ohana, T. Sauvigny, und S. Mohammadi, „Diffusion and relaxo-metry study of an excised temporal lobe from a drug-resistance epilepsy patient using in vivo and ex vivo MRI“, in Proc. Intl. Soc. Mag. Reson. Med. 31 (2023), Abstract Nr.: 1260. Available here: https://archive.ismrm.org/2023/1260.html
6. M. F. Callaghan u. a., „Example dataset for the hMRI toolbox“, Data in Brief, Bd. 25, S. 104132, Aug. 2019, doi: 10.1016/j.dib.2019.104132. [doi]
7. K. Tabelow u. a., „hMRI – A toolbox for quantitative MRI in neuroscience and clinical re-search“, NeuroImage, Bd. 194, S. 191–210, 2019, doi: https://doi.org/10.1016/j.neuroimage.2019.01.029. [doi]
8. K. J. Friston, J. T. Ashburner, S. J. Kiebel, T. E. Nichols, und W. D. Penny, Statistical Parametric Mapping: The Analysis of Functional Brain Images, 1. Aufl. London: Academ-ic Press, 2006. Available here: https://www.sciencedirect.com/book/9780123725608/statistical-parametric-mapping
9. G. David u. a., „ACID: A comprehensive toolbox for image processing and modeling of brain, spinal cord, and ex vivo diffusion MRI data“, Imaging Neuroscience, Bd. 2, S. 1–34, Sep. 2024, doi: 10.1162/imag_a_00288. [doi]
10. B. Hansen, T. E. Lund, R. Sangill, und S. N. Jespersen, „Experimentally and computation-ally fast method for estimation of a mean kurtosis“, Magnetic Resonance in Medicine, Bd. 69, Nr. 6, S. 1754–1760, 2013, doi: 10.1002/mrm.24743. [doi]

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http://echo.ismrm.org/p/ISMRM2026/665-04-005