Cookies on this website
We use cookies to ensure that we give you the best experience on our website. If you click 'Continue' we'll assume that you are happy to receive all cookies and you won't see this message again. Click 'Find out more' for information on how to change your cookie settings.

Investigation of joint kinematics contributes to developing a better understanding of musculoskeletal conditions. However, the most commonly used optoelectronic motion analysis systems cannot determine the movements of underlying bone landmarks with high accuracy because of soft tissue artefacts. The aim of this paper was to present a computer-aided measurement system to track the underlying bone anatomy in a 3D global coordinate frame and describe hip joint kinematics of ten healthy volunteers during gait.We have developed a measurement tool with an image-based computer-aided post-processing pipeline for automatic bone segmentation in ultrasound (US) images and a globally optimal 3D surface-to-surface registration method to quantify hip joint movements. The segmentation algorithm exploits US intensity profiles, including information about the integrated backscattering, acoustic shadows, and local phase features. A global optimization method is applied based on the traditional iterative closest point registration algorithm, which is robust to initialization. The International Society of Biomechanics recommended joint kinematics descriptor has been adapted to calculate the joint kinematics.The developed system prototype has been validated with a ball-joint femoral phantom and tested in vivo with 10 volunteers. The maximum Euclidean distance error of the automatic bone segmentation is less than 2 pixels (approximately 0.2 mm). The maximum absolute rotation angle error is less than [Formula: see text].This computer-aided tracking and motion analysis with ultrasound (CAT & MAUS) system shows the feasibility of describing hip joint kinematics for clinical investigation and diagnosis using an image-based solution.

Original publication

DOI

10.1007/s11548-016-1443-y

Type

Journal article

Journal

International journal of computer assisted radiology and surgery

Publication Date

11/2016

Volume

11

Pages

1965 - 1977

Addresses

Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK. rui.jia@eng.ox.ac.uk.

Keywords

Femur, Hip Joint, Humans, Imaging, Three-Dimensional, Ultrasonography, Range of Motion, Articular, Phantoms, Imaging, Movement, Algorithms, Reference Values, Image Processing, Computer-Assisted, Adolescent, Adult, Female, Male, Young Adult, Biomechanical Phenomena