Finger joint kinematics from MR images

Accurate and quantitative analysis of human hand motion requires an understanding of the kinematics of the proximal and distal interphalangeal joints in three dimensions. This paper presents a technique to investigate in-vivo finger joint kinematics using magnetic resonance (MR) imaging. Bone surface models were extracted from MR images of the right hand of ten healthy subjects in four different postures. The relative motion of adjacent bones for all subjects was calculated and expressed as the helical axis and the angles around the axes of local bone coordinate system. The motion data indicated the change of axis orientation with flexion. After carefully selecting the subject and a pose with an appropriate flexional angle, studies determined that the mean inclination between the axes of the proximal and distal interphalangeal joints was approximately 14 [deg].

[1]  Tsuneya Kurihara,et al.  Modeling deformable human hands from medical images , 2004, SCA '04.

[2]  Karan Singh,et al.  Eurographics/siggraph Symposium on Computer Animation (2003) Handrix: Animating the Human Hand , 2003 .

[3]  N. Fowler,et al.  Method of determination of three dimensional index finger moment arms and tendon lines of action using high resolution MRI scans. , 2001, Journal of biomechanics.

[4]  Makiko Kouchi,et al.  Analysis of skin movement with respect to flexional bone motion using MR images of a hand. , 2006, Journal of biomechanics.

[5]  Makiko Kouchi,et al.  Analysis of Skin Movements with Respect to Bone Motions using MR Images , 2003 .

[6]  C P Neu,et al.  Kinematic accuracy of three surface registration methods in a three-dimensional wrist bone study. , 2000, Journal of biomechanical engineering.

[7]  Scott W. Wolfe,et al.  Three-Dimensional Joint Kinematics Using Bone Surface Registration: A Computer Assisted Approach with an Application to the Wrist Joint in Vivo , 1998, MICCAI.

[8]  A Storace,et al.  Kinematic analysis of the role of the finger tendons. , 1982, Journal of biomechanics.

[9]  Hideki Yoshikawa,et al.  In vivo elbow biomechanical analysis during flexion: three-dimensional motion analysis using magnetic resonance imaging. , 2004, Journal of shoulder and elbow surgery.

[10]  K. An,et al.  Tendon excursion and moment arm of index finger muscles. , 1983, Journal of biomechanics.

[11]  Dinesh Manocha,et al.  OBBTree: a hierarchical structure for rapid interference detection , 1996, SIGGRAPH.

[12]  M M Panjabi,et al.  A technique for measurement and description of three-dimensional six degree-of-freedom motion of a body joint with an application to the human spine. , 1981, Journal of biomechanics.

[13]  Makiko Kouchi,et al.  Modeling of human hand link structure from optical motion capture data , 2004, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566).

[14]  D E Thompson,et al.  A kinematic model of the flexor tendons of the hand. , 1989, Journal of biomechanics.

[15]  Paul J. Besl,et al.  A Method for Registration of 3-D Shapes , 1992, IEEE Trans. Pattern Anal. Mach. Intell..

[16]  Michael Vande Weghe,et al.  The ACT Hand: design of the skeletal structure , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

[17]  Nancy S. Pollard,et al.  Tendon arrangement and muscle force requirements for human-like force capabilities in a robotic finger , 2002, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292).

[18]  Fethi Ben Ouezdou,et al.  Muscle forces prediction of the human hand and forearm system in highly realistic simulation , 2004, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566).