Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
552-02-001 / 552-02-001 ISMRM Abstract

Automated 3D-MRF as a Single-Scan Non-Invasive Biomarker for Alzheimer's Disease Detection

Primary: Neuro - Alzheimer's Disease
Secondary: Acquisition & Reconstruction - Quantitative Imaging: relaxometry, multi-parametric, MR Fingerprinting, and synthetic MRI
552-02-001 · Quantitative Imaging: Relaxometry, Multiparametric, MR Fingerprinting, and Synthetic MRI · Wednesday, 13 May, 1:40 PM–3:16 PM · Power Pitch Theatre 2
552-02-001 · Quantitative Imaging: Relaxometry, Multiparametric, MR Fingerprinting, and Synthetic MRI · Wednesday, 13 May, 1:40 PM–3:16 PM · Power Pitch Theatre 2
Keywords: MR Fingerprinting Relaxometry Clinical application Dementia Detection Deep Learning Segmentation
Accepted
Andrew Dupuis 1, Sree Gongala1, Rasim Boyacioglu2,3, Wassim Malak1,3,4, Jeffrey L Sunshine3, Mark Griswold1,2,3, Chaitra Badve3
1Department of Radiology, Case Western Reserve University, Cleveland, United States of America
2Department of Biomedical Engineering, Case Western Reserve University, Cleveland, United States of America
3Department of Radiology, University Hospitals, Cleveland, United States of America
4Department of Radiology, University Hospitals Cleveland Medical Center, Cleveland, Ohio, United States of America
Presenting Author: Andrew Dupuis

Synopsis

Motivation:
Goals:
Approach:
Results:
Full abstract & presentation

The full text, figures, and any recorded presentation for this abstract are not shown here. Log in if you are a member or registered attendee with access.

Full abstracts, figures, and presentations for Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition are available to registered attendees. This content becomes freely available to the public roughly two years after the meeting.

To request or purchase access, contact the ISMRM Central Office at info@ismrm.org.

Log in

References

1. Jack CR Jr, Andrews JS, Beach TG, et al. Revised criteria for diagnosis and staging of Alzheimer's disease: Alzheimer's Association Workgroup. Alzheimers Dement. 2024;20(8):5143-5169. doi:10.1002/alz.13859 [doi]
2. Uchida Y, Nishimaki K, Soldan A, et al. Change points for dynamic biomarkers in the Alzheimer's disease pathological cascade: A 30-year cohort study. Alzheimers Dement. 2025;21(8):e70544. doi:10.1002/alz.70544 [doi]
3. Ma D, Gulani V, Seiberlich N, et al. Magnetic resonance fingerprinting. Nature. 2013;495(7440):187-192. doi:10.1038/nature11971 [doi]
4. Dupuis A, Chen Y, Hansen M, et al. Quantifying 3D MR fingerprinting (3D-MRF) reproducibility across subjects, sessions, and scanners automatically using MNI atlases. Magn Reson Med. 2024;91(5):2074-2088. doi:10.1002/mrm.29983 [doi]
5. Andrew Dupuis1, Rasim Boyacioglu1, Yong Chen1 et al., Fully Automated Online Reconstruction, Registration, and Analysis Pipeline for 3D Magnetic Resonance Fingerprinting. ISMRM 2023: archive.ismrm.org/2023/0422.html
6. Villemagne VL, Burnham S, Bourgeat P, et al. Amyloid β deposition, neurodegeneration, and cognitive decline in sporadic Alzheimer's disease: a prospective cohort study. Lancet Neurol. 2013;12(4):357-367. doi:10.1016/S1474-4422(13)70044-9 [doi]
7. Ossenkoppele R, Pichet Binette A, Groot C, et al. Amyloid and tau PET-positive cognitively unimpaired individuals are at high risk for future cognitive decline. Nat Med. 2022;28(11):2381-2387. doi:10.1038/s41591-022-02049-x [doi]
8. Kamio S, Hagiwara A, Kamagata K, et al. Association between cognitive function and relaxation rates of the cerebral cortex. Journal of the Neurological Sciences. 2025; 472: 123466. doi.org/10.1016/j.jns.2025.123466. [doi]
9. Wearn AR, Nurdal V, Saunders-Jennings E, et al. T2 heterogeneity: a novel marker of microstructural integrity associated with cognitive decline in people with mild cognitive impairment. Alzheimers Res Ther. 2020;12(1):105. Published 2020 Sep 10. doi:10.1186/s13195-020-00672-9 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/552-02-001