Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026
· Cape Town, South Africa
401-03-004
ISMRM Abstract
QuIDBBIDS — Quantitative Imaging Derived Biomarkers in BIDS
Primary:
Analysis Methods - Software Tools
Secondary:
Analysis Methods - Data Processing
401-03-004 · End-to-End Software Innovation
· Tuesday, 12 May, 1:40 PM–3:30 PM · Hall 1A
Keywords:Quantitative MRIMultiparameter magnetic resonance imagingQuantitative Susceptibility Mapping (QSM)Neuroimaging BiomarkersMulti-component Relaxometry
Accepted
Marcel Zwiers 1, Kwok-Shing Chan2, José P Marques1,3
1Donders Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, Netherlands
2Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, United States of America
3Radboud University, Nijmegen, Netherlands
Presenting Author: Marcel Zwiers
Synopsis
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1. Gorgolewski, K. J. et al. (2016). The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments. Scientific data 3, 1–9, doi.org/10.1038/sdata.2016.44 [doi]
2. Karakuzu, A., Appelhoff, S., Auer, T. et al. (2022). qMRI-BIDS: An extension to the brain imaging data structure for quantitative magnetic resonance imaging data. Sci Data 9, 517. doi.org/10.1038/s41597-022-01571-4 [doi]
4. Kwok-Shing Chan, José P. Marques (2020). SEPIA—Susceptibility mapping pipeline tool for phase images. NeuroImage 227 doi.org/10.1016/j.neuroimage.2020.117611. [doi]
5. Pei, M., Nguyen, T. D., Thimmappa, N. D., Salustri, C., Dong, F., Cooper, M. A., Li, J., Prince, M. R., & Wang, Y. (2015). Algorithm for fast monoexponential fitting based on Auto-Regression on Linear Operations (ARLO) of data. Magnetic resonance in medicine 73, 843–850. doi.org/10.1002/mrm.25137 [doi]
6. Teixeira, R. P. A. G., Malik, S. J., & Hajnal, J. V. (2018). Joint system relaxometry (JSR) and Crámer-Rao lower bound optimization of sequence parameters: A framework for enhanced precision of DESPOT T1 and T2 estimation. Magnetic resonance in medicine 79, 234–245. doi.org/10.1002/mrm.26670 [doi]
8. Kwok-Shing Chan, Maxime Chamberland, José P. Marques (2023). On the performance of multi-compartment relaxometry for myelin water imaging (MCR-MWI) – test-retest repeatability and inter-protocol reproducibility. NeuroImage 266 doi.org/10.1016/j.neuroimage.2022.119824 [doi]
9. https://github.com/kschan0214/mwi
10. Jansen MG, Zwiers MP, Marques JP, Chan K-S, Amelink JS, Altgassen M, et al. (2024). The Advanced BRain Imaging on ageing and Memory (ABRIM) data collection: Study design, data processing, and rationale. PLoS ONE 19 doi.org/10.1371/journal.pone.0306006 [doi]
12. Woods, J. G., Achten, E., Asllani, I., Bolar, D. S., Dai, W., Detre, J. A., Fan, A. P., Fernández-Seara, M. A., Golay, X., Günther, M., Guo, J., Hernandez-Garcia, L., Ho, M. L., Juttukonda, M. R., Lu, H., MacIntosh, B. J., Madhuranthakam, A. J., Mutsaerts, H. J., Okell, T. W., Parkes, L. M., … ISMRM Perfusion Study Group (2024). Recommendations for quantitative cerebral perfusion MRI using multi-timepoint arterial spin labeling: Acquisition, quantification, and clinical applications. Magnetic resonance in medicine, 92(2), 469–495. doi.org/10.1002/mrm.30091 [doi]
13. Ji, S., Jang, J., Kim, M., Lee, H., Kim, W., Lee, J., & Shin, H. G. (2024). Comparison between R2'-based and R2*-based χ-separation methods: A clinical evaluation in individuals with multiple sclerosis. NMR in biomedicine, 37(9), e5167. doi.org/10.1002/nbm.5167 [doi]
14. Kwok-Shing Chan, Marcel P. Zwiers, Michelle G. Jansen, Martin E. Johansson, Rick C. Helmich, Joukje M. Oosterman, David G. Norris, Christian F. Beckmann, José P. Marques (2025). Normative trajectories of R1, R2*, and magnetic susceptibility in basal ganglia on healthy ageing. Imaging Neuroscience 3. doi: doi.org/10.1162/imag_a_00456 [doi]
15. Chen, X., Ocampo-Pineda, M., Lu, P. J., Ekerdt, C., Weigel, M., Jansen, M. G., ... & Marques, J. P. (2024). Unveiling Normative Trajectories of Lifespan Brain Maturation Using Quantitative MRI. arXiv preprint arXiv:2411.00661.