Tim M Emmenegger 1, Steffen Franz2, Michael Adam1,3, Anna Duguid1, Patrick Will1, Simon Schading-Sassenhausen4, Bernhard Strasser1, Sabina Frese1, Wolfgang Marik5,6, Wolfgang Bogner1,3,7, Simon Robinson1,3
1High Field Magnetic Resonance Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
2Department for Spinal Cord Injury, AUVA Rehabilitation Center Weisser Hof, Klosterneuburg, Austria, Austria
3Christian Doppler Laboratory for MR Imaging Biomarkers (BIOMAK), Austria, Austria
4Spinal Cord Injury Center, Balgrist University Hospital, University of Zurich, Zurich, Switzerland, Switzerland
5Comprehensive Center for Clinical Neurosciences & Mental Health,, Medical University of Vienna, Vienna, Austria, Austria
6Department of Neuroradiology, Medical University of Vienna, Vienna, Austria, Austria
7Comprehensive Center for Artificial Intelligence in Medicine, Medical University of Vienna, Vienna, Austria
Presenting Author: Tim M Emmenegger
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.
1. Emmenegger TM, Pfyffer D, Curt A, et al. Longitudinal motor system changes from acute to chronic spinal cord injury. Eur J Neurol. 2024;(October 2023):1-12. doi:10.1111/ene.16196 [doi]
2. Pfyffer D, Smith AC, Weber KA, et al. Prognostic value of tissue bridges in cervical spinal cord injury: a longitudinal, multicentre, retrospective cohort study. Lancet Neurol. Published online June 2024. doi:10.1016/S1474-4422(24)00173-X [doi]
3. Farner L, Emmenegger TM, Schading‐Sassenhausen S, et al. 3D MRI Tract‐Specific Spinal Cord Lesion Pattern Improves Prediction of Distinct Neurological Recovery. Ann Clin Transl Neurol. Published online June 27, 2025. doi:10.1002/acn3.70087 [doi]
4. Smith AC, O’Dell DR, Albin SR, et al. Lateral Corticospinal Tract and Dorsal Column Damage: Predictive Relationships With Motor and Sensory Scores at Discharge From Acute Rehabilitation After Spinal Cord Injury. Arch Phys Med Rehabil. 2022;103(1):62-68. doi:10.1016/j.apmr.2021.07.792 [doi]
5. Smith AC, Weber KA, O’Dell DR, Parrish TB, Wasielewski M, Elliott JM. Lateral Corticospinal Tract Damage Correlates With Motor Output in Incomplete Spinal Cord Injury. Arch Phys Med Rehabil. 2018;99(4):660-666. doi:10.1016/j.apmr.2017.10.002 [doi]
6. Olesen JL, Ianus A, Østergaard L, Shemesh N, Jespersen SN. Tensor denoising of multidimensional <scp>MRI</scp> data. Magn Reson Med. 2023;89(3):1160-1172. doi:10.1002/mrm.29478 [doi]
7. Bachrata B, Bollmann S, Jin J, et al. Super-resolution QSM in little or no additional time for imaging (NATIve) using 2D EPI imaging in 3 orthogonal planes. Neuroimage. 2023;283:120419. doi:10.1016/j.neuroimage.2023.120419 [doi]
8. Ebner M, Wang G, Li W, et al. An automated framework for localization, segmentation and super-resolution reconstruction of fetal brain MRI. Neuroimage. 2020;206:116324. doi:10.1016/j.neuroimage.2019.116324 [doi]
9. De Leener B, Lévy S, Dupont SM, et al. SCT: Spinal Cord Toolbox, an open-source software for processing spinal cord MRI data. Neuroimage. 2017;145(March 2016):24-43. doi:10.1016/j.neuroimage.2016.10.009 [doi]
10. Enamundram NK, Valošek J, Farner L, et al. SCIsegV2: A Universal Tool for Segmentation of Intramedullary Lesions in Spinal Cord Injury. In: 2025:198-209. doi:10.1007/978-3-031-82007-6_19 [doi]
11. Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet. 1986;1(8476):307-310. doi:10.1128/AAC.00483-18 [doi]
12. Henmar S, Simonsen EB, Berg RW. What are the gray and white matter volumes of the human spinal cord? J Neurophysiol. 2020;124(6):1792-1797. doi:10.1152/jn.00413.2020 [doi]
13. Valošek J, Bédard S, Keřkovský M, Rohan T, Cohen-Adad J. A database of the healthy human spinal cord morphometry in the PAM50 template space. Preprint posted online October 17, 2023. doi:10.55458/neurolibre.00017 [doi]