In Vivo Determination and Representation of Muscle's Paths from Magnetic Resonance Images
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-51723-5_7
Reference9 articles.
1. Scheys, L., Jonkers, I., Schutyser, F., Pans, S., Spaepen, A., Suetens, P.: Image based methods to generate subject-specific musculoskeletal models for gait analysis. Int. Congr. Series 1281, 62–67 (2005). http://linkinghub.elsevier.com/retrieve/pii/S0531513105003201
2. Scheys, L., Spaepen, A., Suetens, P., Jonkers, I.: Calculated moment-arm and muscle-tendon lengths during gait differ substantially using MR based versus rescaled generic lower-limb musculoskeletal models. Gait Post. 28(4), 640–648 (2012). http://www.ncbi.nlm.nih.gov/pubmed/18534855 (2008)
3. Carbone, V., van der Krogt, M.M., Koopman, H.F.J.M., Verdonschot, N.: Sensitivity of subject-specific models to errors in musculo-skeletal geometry. J. Biomech. 45(14), 2476–280. http://www.ncbi.nlm.nih.gov/pubmed/22867762 (2012)
4. Scheys, L., Jonkers, I., Loeckx, D., Spaepen, A., Suetens, P.: Automatic identification of muscle insertion sites in MR images using atlas-based, non-rigid registration. Gait Post. S71–S72. http://linkinghub.elsevier.com/retrieve/pii/S0966636206004061 (2006)
5. Desailly, E., Sardain, P., Khouri, N., Yepremian, D., Lacouture, P.:The convex wrapping algorithm: a method for identifying muscle paths using the underlying bone mesh. J. Biomech. 43(13), 2601–2607. http://www.ncbi.nlm.nih.gov/pubmed/20627304 (2010)
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