Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
564-06-012 ISMRM Abstract

Deep Learning-Based Segmentation of Cerebellar Peduncles Using Diffusion MRI

Primary: Analysis Methods - Segmentation and Detection
Secondary: Analysis Methods - Classification and Prediction
564-06-012 · Segmentation for Neuro Applications · Wednesday, 13 May, 4:55 PM–5:50 PM · Digital Posters Row E
Keywords: Neurodegeneration Diffusion MRI Ataxia Deep Learning Segmentation Cerebellar Peduncles
Accepted
Soumen Ghosh1,2, Susmita Saha 3,4, Diogo H Shiraishi5, Thiago J Rezende5,6, Ian H Harding3,7, TRACK-FA Neuroimaging Consortium
1School of Biomedical Sciences, The University of Queensland, Brisbane, Australia
2QIMR Berghofer, Australia
3School of Psychological Sciences, The Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia
4Department of Neuroscience, School of Translational Medicine, Monash University, Melbourne, Australia
5Department of Neurology, School of Medical Sciences, University of Campinas, Campinas, Brazil
6Department of Neurosciences, School of Medical Sciences, University of São Paulo at Ribeirão Preto, Brazil
7Cerebellum & Neurodegeneration Group (CNRG), QIMR Bergofer, Brisbane, Australia
Presenting Author: Susmita Saha

Synopsis

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References

1. Fan, X. T. (2011). A novel contrast for DTI visualization for thalamus delineation. In Proceedings of SPIE--the International Society for Optical Engineering.
2. Georgiou-Karistianis, N. C. (2022). A natural history study to track brain and spinal cord changes in individuals with Friedreich’s ataxia: TRACK-FA study protocol. PLoS One.
3. Isensee, F. J.-H. (2021). nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation. Nature methods, 203-211.
4. Koeppen, A. H. (2011). Friedreich's ataxia: pathology, pathogenesis, and molecular genetics. Journal of the neurological sciences, 1-12.
5. Van Baarsen, K. M. (2016). A probabilistic atlas of the cerebellar white matter. Neuroimage, 724-732.
6. Wasserthal, J. N.-H. (2018). TractSeg-Fast and accurate white matter tract segmentation. Neuroimage, 239-253.
7. Ying, S. H. (2009). Ying, S. H., Landman, B. A., Chowdhury, S., Sinofsky, A. H., Gambini, A., Mori, S., ... & Prince, J. L. (2009). Orthogonal diffusion-weighted MRI measures distinguish region-specific degeneration in cerebellar ataxia subtypes. Journal of neurology, 1939-1942.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/564-06-012