In silicon study of 3D elbow kinematics

Authors:
Kang Li;Virak Tan
Affiliations:
Department of Industrial and Systems Engineering, Rutgers University, Piscataway, NJ;Department of Orthopaedic Surgery, University of Medicine and Dentistry of New Jersey, Newark, NJ
Venue:
ICDHM'11 Proceedings of the Third international conference on Digital human modeling
Year:
2011

Citing 2
Cited 0

A novel parameter decomposition based optimization approach for automatic pose estimation of distal locking holes from single calibrated fluoroscopic image

Pattern Recognition Letters
3D elbow kinematics with monoplanar fluoroscopy: in silico evaluation

EURASIP Journal on Advances in Signal Processing - Image processing and analysis in biomechanics

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Abstract

This study is to propose a novel technique to improve the accuracy of estimating bone kinematics. This technique will use the radiographic information of both soft tissue and hard tissue for the 2D-3D registration. Non-rigid registration technique and rigid-body registration will work seamlessly to guide the matching process to find the optimal bone pose. Such a technique could improve and accelerate the matching process.