Shoulder motion analysis using simultaneous skin shape registration.

Cédric Schwartz (1, 2) , Mathieu Lempereur (1) , Valérie Burdin (1, 2) , Jean-José Jacq (1, 2) , Olivier Rémy-Néris (1, 3)

1 LaTIM - Laboratoire de Traitement de l'Information Medicale
2 GET/ENST Bretagne - Département Image & Traitement de l'Information
3 Service de médecine physique et de réadaptation

A new non-invasive approach is proposed to study joint motions. It is based on dynamic tracking of the skin shape. A robust simultaneous registration algorithm (Iterative Median Closest Point) is used to follow the evolving shape and compute the rigid motion of the underlying bone structures. This new method relies on the differentiation of the rigid and elastic parts of the shape motion. A skin marker network is tracked by a set of infrared cameras. Unlike usual techniques, the algorithm tracks the instantaneous polyhedral shape embedding this network. This innovating approach is expected to minimize bias effect of skin sweeps and give some new information about the underlying soft tissue activities. Current application addresses the motion of the shoulder complex (humerus, clavicle and scapula). It is compared with two marker-based methods published in the literature. Preliminary results show significant differences between these three approaches. The new approach measurements give rise to greater rotations.

Mots clés: motion; shoulder; scapula; registration; surface

Domaines: Ingénierie biomédicale; Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Cédric Schwartz, Mathieu Lempereur, Valérie Burdin, Jean-José Jacq, Olivier Rémy-Néris. Shoulder motion analysis using simultaneous skin shape registration.. Conference proceedings : .. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, 2007, 1, pp.533-6. ⟨10.1109/IEMBS.2007.4352345⟩. ⟨inserm-00189958⟩