Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition • 09-14 May 2026

Traditional Poster

Diffusion: Tractography Methods

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Diffusion: Tractography Methods
Traditional Poster
Diffusion
Tuesday, 12 May 2026
Traditional Posters | Exhibition Hall
09:15 - 10:10
Session Number: 470-03
No CME/CE Credit
This traditional poster session highlights methodological developments in diffusion MRI tractography. Topics include novel tracking algorithms, filtering and validation techniques, bundle segmentation approaches, and other reconstruction challenges.

  Figure 470-03-088.  FixelBayes: A Bayesian framework for fixel-based analysis of diffusion MRI data
Jackson Lee, Charles Malpas, Sila Genc, Joseph Yang, Andrew Zalesky, Remika Mito
University of Melbourne, Melbourne, Australia
Impact: FixelBayes allows researchers to distinguish between inconclusive results and true null effects in diffusion MRI, enabling identification of subtle white matter differences that may inform future studies and improve the interpretation of small-effect cohorts.
  Figure 470-03-089.  GenTract - Generative Models for Global Tractography
Alec Sargood, Lemuel Puglisi, Elinor Thompson, Mirco Musolesi, Daniel Alexander
University College London, London, United Kingdom
Impact: We introduce GenTract, the first global generative tractography framework. By generating complete streamlines informed by the brain’s global anatomy, it avoids the cumulative errors of local methods, enabling more robust white-matter tractography for clinical applications, such as neurosurgical planning.
  Figure 470-03-090.  A Dual-Stream Fusion Framework for Tractography Fiber Classification with Joint dMRI and fMRI data
Haotian Yan, Bocheng Guo, Jianzhong He, Nir Sochen, Ofer Pasternak, Lauren O’Donnell, Fan Zhang
University of Electronic Science and Technology of China, Chengdu, China
Impact: We introduce a tractography parcellation method that moves beyond traditional, geometry-based approaches by integrating dMRI-fMRI data. A dual-stream fusion strategy is proposed to enable highly accurate, functionally relevant tract parcellation, benefiting neuroscience and clinical assessment of complex fiber pathways.
  Figure 470-03-091.  Automated DRTT tractography reproducibility: impact of session, and labeling approach
Ahmed Radwan, Daan Christiaens, Louise Emsell, Philippe De Vloo, Bart Nuttin, Stefan Sunaert
KU Leuven, Leuven, Belgium
Impact: This work demonstrates that results of automated DRTT tractography were reproducible between 3 different scan sessions and showed only minimal dependence on parcellation variability. These results support the clinical integration of diffusion-based targeting for the VIM in functional neurosurgery.
  Figure 470-03-092.  Advanced tractography pipeline for neonatal connectomics: effect of post-processing techniques
Calvin Hew, Simona Leserri, Dogu Baran Aydogan, Mark Bastin, Riccardo Marioni, James Boardman, Manuel Blesa Cábez
Centre for Reproductive Health, Edinburgh, United Kingdom
Impact: By applying advanced diffusion MRI processing and tractography methods to neonatal data, this work explores their potential to enhance connectome reconstruction and evaluates how methodological choices influence global network measures in the developing
  Figure 470-03-093.  Co-localized Microstructural and Metabolite Tractometry of the Upper Corticospinal Tract in Normal Healthy Brain
Archith Rajan, Nishanth Suri, Defne Amado, Lauren Elman, Lisa Desiderio, Laurie Loevner, Suyash Mohan, Sanjeev Chawla
University of Pennsylvania, Philadelphia, United States of America
Impact: Multiparametric normative CST tract profiles integrating metabolic and microstructural measures could enable early detection of white matter abnormalities in ALS and similar neurodegenerative disorders involving the upper motor neurons, supporting development of region-specific biomarkers and guiding future therapeutic strategies.
  Figure 470-03-094.  Diffusion MRI Tract profiling of Bundle geometry
Brandon Taraku, Roger Woods, Kirsten Donald, Artemis Zavaliangos-Petropulu, Paloma Pfeiffer, Elizabeth Sowell, Katherine Narr, Shantanu Joshi
University of California Los Angeles, Los Angeles, United States of America
Impact: We propose Bundle Geometry Profiles (BGP) to quantify global white-matter tract geometry from diffusion MRI tractography, enabling precise characterization of bundle shape and structure and facilitating identification of geometric biomarkers underlying brain organization and neurobehavioral changes.
  Figure 470-03-095.  Improving tractography reconstructions with asymmetric FOD tractography: preliminary evidence on the cortico-spinal tract
Richard Stones, Flavio Dell'Acqua
Centre for Neuroimaging Sciences, King's College London, London, United Kingdom
Impact: In this study we evaluate asymmetric FOD tractography, providing preliminary evidence for improved white matter reconstruction. CST reconstructions demonstrate increased tract volume with improved lateral branching, indicating that aFODs can better represent complex bending and fanning configurations than symmetric FODs.
  Figure 470-03-096.  Validating Automatic Arcuate Fasciculus Segmentation in Routine Clinical Data for Neurosurgery Planning
Hohana Konell, Maria Martins, Antonio dos Santos, Carlos Salmon
Inbrain lab, Faculty of Philosophy, Sciences and Letters of Ribeirao Preto, University of Sao Paulo, Ribeirão Preto, Brazil, Brazil
Impact: This reproducible and scalable automation pipeline facilitates reliable arcuate fasciculus reconstruction, enabling broader clinical application in neurosurgical planning and language lateralization analysis.

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