Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
367-03-006 ISMRM Abstract

Multiparametric MRI for Skeletal Muscle Health Assessment in High-Technology Gait Rehabilitation

Primary: Musculoskeletal - Muscle
Secondary: Analysis Methods - Data Processing
367-03-006 · Muscle Microstructure and Deformation · Monday, 11 May, 1:50 PM–2:45 PM · Digital Posters Row H
Keywords: Skeletal Muscle Multiparametric MRI Rehabilitation Lokomat
Accepted
Alfonso Mastropietro1, Ludovica M Aghilar1, Nicola Casali1, Marina Di Stefano2, Emilia Biffi3, Roberta Morganti3, Giovanna Rizzo1, Denis Peruzzo 2
1Istituto di Sistemi e Tecnologie Industriali Intelligenti per il Manifatturiero Avanzato, Consiglio Nazionale delle Ricerche, Milano, Italy
2Neuroimaging Unit, Scientific Insitute IRCCS Eugenio Medea, Bosisio Parini (LC), Italy
3Bioengineering Lab, Scientific Institute IRCCS Eugenio Medea, Bosisio Parini (LC), Italy
Presenting Author: Denis Peruzzo

Synopsis

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References

1. Baronchelli, F., Zucchella, C., Serrao, M., Intiso, D., & Bartolo, M. (2021). The effect of robotic assisted gait training with Lokomat® on balance control after stroke: systematic review and meta-analysis. Frontiers in neurology, 12, 661815.
2. Nam, K. Y., Kim, H. J., Kwon, B. S., Park, J. W., Lee, H. J., & Yoo, A. (2017). Robot-assisted gait training (Lokomat) improves walking function and activity in people with spinal cord injury: a systematic review. Journal of neuroengineering and rehabilitation, 14(1), 24.
3. Hooijmans, M. T., Schlaffke, L., Bolsterlee, B., Schlaeger, S., Marty, B., & Mazzoli, V. (2024). Compositional and functional MRI of skeletal muscle: a review. Journal of Magnetic Resonance Imaging, 60(3), 860-877.
4. Mastropietro, A., Peruzzo, D., Taccogna, M. G., Sanna, N., Casali, N., Nossa, R., ... & Rizzo, G. (2025). Multiparametric MRI assessment of morpho-functional muscle changes following a 6-month fes-cycling training program: pilot study in people with a complete spinal cord injury. JMIR Rehabilitation and Assistive Technologies, 12, e64825.
5. Tournier, J. D., Smith, R., Raffelt, D., Tabbara, R., Dhollander, T., Pietsch, M., ... & Connelly, A. (2019). MRtrix3: A fast, flexible and open software framework for medical image processing and visualisation. Neuroimage, 202, 116137.
6. Casali, N., Scalco, E., Taccogna, M. G., Lauretani, F., Porcelli, S., Ciuni, A., ... & Rizzo, G. (2024). Positional contrastive learning for improved thigh muscle segmentation in MR images. NMR in Biomedicine, 37(10), e5197.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/367-03-006