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Muscle parameters estimation based on biplanar radiography

Article dans une revue avec comité de lecture
Author
DUBOIS, Guillaume
BONNEAU, Dominique
GENNISSON, Jean-Luc
8485 Laboratoire Ondes et Acoustique (UMR 7587) [LOA]
ccSKALLI, Wafa
ccROUCH, Philippe
484605 LBM/institute de Biomécanique humaine Georges Charpak

URI
http://hdl.handle.net/10985/18158
DOI
10.1080/10255842.2016.1171855
Date
2016
Journal
Computer Methods in Biomechanics and Biomedical Engineering

Abstract

The evaluation of muscle and joint forces in vivo is still a challenge. Musculo-Skeletal (musculoskeletal) models are used to compute forces based on movement analysis. Most of them are built from a scaled-generic model based on cadaver measurements, which provides a low level of personalization, or from Magnetic Resonance Images, which provide a personalized model in lying position. This study proposed an original two steps method to access a subject-specific musculoskeletal model in 30 min, which is based solely on biplanar X-Rays. First, the subject-specific 3D geometry of bones and skin envelopes were reconstructed from biplanar X-Rays radiography. Then, 2200 corresponding control points were identified between a reference model and the subjectspecific X-Rays model. Finally, the shape of 21 lower limb muscles was estimated using a non-linear transformation between the control points in order to fit the muscle shape of the reference model to the X-Rays model. Twelfth musculo-skeletal models were reconstructed and compared to their reference. The muscle volume was not accurately estimated with a standard deviation (SD) ranging from 10 to 68%. However, this method provided an accurate estimation the muscle line of action with a SD of the length difference lower than 2% and a positioning error lower than 20 mm. The moment arm was also well estimated with SD lower than 15% for most muscle, which was significantly better than scaled-generic model for most muscle. This method open the way to a quick modeling method for gait analysis based on biplanar radiography.

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