566-02-006 ISMRM Abstract

Diffusion-Based Inpainting Enables Reliable Detection of New Cerebral Microbleeds Without Longitudinal MRI Data

Primary: Neuro - Aging

Secondary: Analysis Methods - Classification and Prediction

566-02-006 · MRI Markers of Dementia · Wednesday, 13 May, 9:15 AM–10:10 AM · Digital Posters Row G

Keywords: Data Analysis Neurodegeneration AI/ML Software Cerebral Microbleeds Longitudinal MRI

Accepted

Jonathan A Disselhorst ^1,2,3, Kaman Chung⁴, Bianca Mazini², Silvia Pistocchi², Punith Bidarakka Venkategowda^5,6, Giulia Bommarito⁷, Vincent Dunet², Gilles Allali⁷, Bénédicte Maréchal^1,2,3

¹Swiss Innovation Hub, Siemens Healthineers International AG, Lausanne, Switzerland

²Department of Diagnostic and Interventional Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland

³LTS5, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland

⁴Digital & Automation, Siemens Healthineers AG, Forchheim, Germany

⁵Magnetic Resonance, Siemens Healthineers India, Bangalore, India

⁶International Institute of Information Technology Bangalore, Bangalore, India

⁷Leenards Memory Center, Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland

Presenting Author: Jonathan A Disselhorst

Synopsis

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References

1. Hampel, et al. “Amyloid-related imaging abnormalities (ARIA): radiological, biological and clinical characteristics”, Brain. 2023; https://doi.org/10.1093/brain/awad188 [doi]

2. Cogswell, et al. “Alzheimer Disease Anti-Amyloid Immunotherapies: Imaging Recommendations and Practice Considerations for Monitoring of Amyloid-Related Imaging Abnormalities”. AJNR Am J Neuroradiol. 2025; https://doi.org/10.3174/ajnr.A8469 [doi]

3. Cardoso, et al. “MONAI: An open-source framework for deep learning in healthcare”, arXiv:2211.02701. https://doi.org/10.48550/arXiv.2211.02701 [doi]

4. Lowekamp, et al. “The Design of SimpleITK”, Front. Neuroinform. 2013. https://doi.org/10.3389/fninf.2013.00045 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/566-02-006