Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
403-01-001 ISMRM Abstract

From Fixels to Tracts: Overcoming Limitations of Fixel-Based Inference with STRIFE

Primary: Diffusion - Diffusion Analysis & Visualization
Secondary: Diffusion - Tractography
403-01-001 · Diffusion Tractography · Tuesday, 12 May, 8:20 AM–10:10 AM · Auditorium 1
Keywords: Microstructure Tractography Fixel-based analysis Diffusion-Weighted Imaging Statistical analysis
Accepted
Simone Zanoni 1, Robert Smith2,3, Jinglei Lv1, Fernando Calamante1,4
1School of Biomedical Engineering, The University of Sydney, Sydney, Australia
2Florey Institute of Neuroscience & Mental Health, Melbourne, Australia
3Florey Department of Neuroscience and Mental Health, University of Melbourne, Melbourne, Australia
4Sydney Imaging, The University of Sydney, Sydney, Australia
Presenting Author: Simone Zanoni

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. Raffelt, D. A. et al. Investigating white matter fibre density and morphology using fixel-based analysis. Neuroimage 144, 58–73 (2017). https://doi.org/10.1016/j.neuroimage.2016.09.029 [doi]
2. Dhollander, T. et al. Fixel-based analysis of diffusion MRI: methods, applications, challenges and opportunities. Neuroimage 241, 118417 (2021). https://doi.org/10.1016/j.neuroimage.2021.118417 [doi]
3. Raffelt, D. A. et al. Connectivity-based fixel enhancement: Whole-brain statistical analysis of diffusion MRI measures in the presence of crossing fibres. Neuroimage 117, 40–55 (2015). https://doi.org/10.1016/j.neuroimage.2015.05.039 [doi]
4. Smith, R. E., Tournier, J.-D., Calamante, F. & Connelly, A. SIFT2: Enabling dense quantitative assessment of brain white matter connectivity using streamlines tractography. Neuroimage 119, 338–351 (2015). https://doi.org/10.1016/j.neuroimage.2015.06.092 [doi]
5. Smith, R. E., Raffelt, D., Tournier, J.-D. & Connelly, A. Quantitative streamlines tractography: methods and inter-subject normalisation. Aperture Neuro 2, 1–25 (2022). https://doi.org/10.52294/ApertureNeuro.2022.2.NEOD9565 [doi]
6. Nichols, T. E. & Holmes, A. P. Nonparametric permutation tests for functional neuroimaging: A primer with examples. Hum. Brain Mapp. 15, 1–25 (2002). https://doi.org/10.1002/hbm.1058 [doi]
7. Salimi-Khorshidi, G., Smith, S. M. & Nichols, T. E. Adjusting the effect of nonstationarity in cluster-based and TFCE inference. Neuroimage 54, 2006–2019 (2011). https://doi.org/10.1016/j.neuroimage.2010.09.088 [doi]
8. Bookheimer, S. Y. et al. The lifespan human connectome project in aging: an overview. Neuroimage 185, 335–348 (2019). https://doi.org/10.1016/j.neuroimage.2018.10.009 [doi]
9. Schaefer, A. et al. Local-global parcellation of the human cerebral cortex from intrinsic functional connectivity MRI. Cereb. Cortex 28, 3095–3114 (2018). https://doi.org/10.1093/cercor/bhx179 [doi]
10. Diedrichsen, J., Balsters, J. H., Flavell, J., Cussans, E. & Ramnani, N. A probabilistic MR atlas of the human cerebellum. neuroimage 46, 39–46 (2009). https://doi.org/10.1016/j.neuroimage.2009.01.045 [doi]
11. Ali, T. et al. In-vivo parcellation of human subcortex by multi-modal MRI. https://www.researchsquare.com/article/rs-4203104/latest (2024). https://doi.org/10.21203/rs.3.rs-4203104/v1 [doi]
12. Fischl, B. FreeSurfer. Neuroimage 62, 774–781 (2012). https://doi.org/10.1016/j.neuroimage.2012.01.021 [doi]
13. Choy, S. W. et al. Changes in white matter fiber density and morphology across the adult lifespan: A cross‐sectional fixel‐based analysis. Hum. Brain Mapp. 41, 3198–3211 (2020). https://doi.org/10.1002/hbm.25008 [doi]
14. Kelley, S., Plass, J., Bender, A. R. & Polk, T. A. Age-related differences in white matter: understanding tensor-based results using fixel-based analysis. Cereb. Cortex 31, 3881–3898 (2021). https://doi.org/10.1093/cercor/bhab056 [doi]
15. Han, A., Dhollander, T., Sun, Y. L., Chad, J. A. & Chen, J. J. Fiber-specific age-related differences in the white matter of healthy adults uncovered by fixel-based analysis. Neurobiol. Aging 130, 22–29 (2023). https://doi.org/10.1016/j.neurobiolaging.2023.06.007 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/403-01-001