Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
307-02-004 ISMRM Abstract

Radiomics and Biomarker-Based Analysis of Arterial Spin Labelling MRI in Alzheimer’s Disease and non-AD Dementia

Primary: Neuro - Alzheimer's Disease
Secondary: Analysis Methods - Radiomics
307-02-004 · Advances in MRI Radiomics for Disease Characterization and Outcome Prediction · Monday, 11 May, 8:20 AM–10:10 AM · Meeting Room 1.40
Keywords: Data Analysis Diagnosis/Prediction Biomarkers Dementia Arterial Spin Labelling (ASL)
Accepted
Ha Young Kim 1,2, Ana Beatriz Solana2, Edina Timko3, David Shin4, Julia A Schnabel5,6,7, PREDICTOM consortium
1School of Computation, Information and Technology, Technical University of Munich, Munich, Germany
2GE Healthcare, Munich, Germany
3GE Healthcare, Budapest, Hungary
4GE HealthCare Global MR Applications & Workflow, Menlo Park, United States of America
5Institute of Machine Learning in Biomedical Imaging, Helmholtz Munich, Munich, Germany
6School of Computation, Information and Technology, Technical University Munich, Munich, Germany
7School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
Presenting Author: Ha Young Kim

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References

1. Jack, C. R., Jr., et al. (2024). Revised criteria for diagnosis and staging of Alzheimer’s disease: Alzheimer’s Association Workgroup. Alzheimer’s & Dementia.
2. Thropp, P., et al. (2024). Arterial spin labeling perfusion MRI in the Alzheimer’s Disease Neuroimaging Initiative: Past, present, and future. Alzheimer’s & Dementia.
3. Binnewijzend, M. A. A., et al. (2016). Cerebral perfusion in the predementia stages of Alzheimer’s disease. European Radiology, 26(2), 506–514.
4. Karran, E., et al. (2011). The amyloid cascade hypothesis for Alzheimer's disease: An appraisal for the development of therapeutics. Nature Reviews Drug Discovery, 10(9), 698–712.
5. Jack, C. R., Jr., et al. (2008). The Alzheimer’s Disease Neuroimaging Initiative (ADNI): MRI methods. Journal of Magnetic Resonance Imaging, 27(4), 685–691.
6. Chappell, M. A., et al. (2023). BASIL: A toolbox for perfusion quantification using arterial spin labelling. Imaging Neuroscience.
7. Mendes, A. J., et al. (2025). Validating the Amyloid Cascade Through the Revised Criteria of Alzheimer's Association Workgroup 2024 for Alzheimer Disease. Neurology.
8. Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Routledge.
9. Breiman, L. (2001). Random forests. Machine Learning, 45(1), 5–32.
10. Scott, M., et al. (2017). A unified approach to interpreting model predictions. In Proceedings of the 31st International Conference on Neural Information Processing Systems (NIPS'17).
11. Bracko, O., et al. (2021). Causes and consequences of baseline cerebral blood flow reductions in Alzheimer’s disease. Journal of Cerebral Blood Flow & Metabolism, 41(1), 1–14.
12. Zheng, W., et al. (2019). Disrupted regional cerebral blood flow, functional activity and connectivity in Alzheimer’s disease: A combined ASL perfusion and resting-state fMRI study. Frontiers in Aging Neuroscience, 11, 306.
13. Lubben, N., et al. (2021). The enigma and implications of brain hemispheric asymmetry in neurodegenerative diseases. Brain Communications, 3(2), fcab088.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/307-02-004