Literature DB >> 27477704

Validation of hip joint center localization methods during gait analysis using 3D EOS imaging in typically developing and cerebral palsy children.

Ayman Assi1, Christophe Sauret2, Abir Massaad3, Ziad Bakouny4, Hélène Pillet2, Wafa Skalli2, Ismat Ghanem5.   

Abstract

Localization of the hip joint center (HJC) is essential in computation of gait data. EOS low dose biplanar X-rays have been shown to be a good reference in evaluating various methods of HJC localization in adults. The aim is to evaluate predictive and functional techniques for HJC localization in typically developing (TD) and cerebral palsy (CP) children, using EOS as an image based reference. Eleven TD and 17 CP children underwent 3D gait analysis. Six HJC localization methods were evaluated in each group bilaterally: 3 predictive (Plug in Gait, Bell and Harrington) and 3 functional methods based on the star arc technique (symmetrical center of rotation estimate, center transformation technique and geometrical sphere fitting). All children then underwent EOS low dose biplanar radiographs. Pelvis, lower limbs and their corresponding external markers were reconstructed in 3D. The center of the femoral head was considered as the reference (HJCEOS). Euclidean distances between HJCs estimated by each of the 6 methods and the HJCEOS were calculated; distances were shown to be lower in predictive compared to functional methods (p<0.0001). Contrarily to findings in adults, functional methods were shown to be less accurate than predictive methods in TD and CP children, which could be mainly due to the shorter thigh segment in children. Harrington method was shown to be the most accurate in the prediction of HJC (mean error≈18mm, SD=9mm) and quasi-equivalent to the Bell method. The bias for each method was quantified, allowing its correction for an improved HJC estimation.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cerebral palsy; Children; EOS biplanar X-rays; Gait analysis; Hip joint center

Mesh:

Year:  2016        PMID: 27477704     DOI: 10.1016/j.gaitpost.2016.04.028

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  5 in total

1.  Predicting the location of the hip joint centres, impact of age group and sex.

Authors:  Reiko Hara; Jennifer McGinley; Chris Briggs; Richard Baker; Morgan Sangeux
Journal:  Sci Rep       Date:  2016-11-24       Impact factor: 4.379

2.  Evaluation of functional methods of joint centre determination for quasi-planar movement.

Authors:  Lin Meng; Craig Childs; Arjan Buis
Journal:  PLoS One       Date:  2019-01-17       Impact factor: 3.240

3.  Can the fusion of motion capture and 3D medical imaging reduce the extrinsic variability due to marker misplacements?

Authors:  Xavier Gasparutto; Jennifer Wegrzyk; Kevin Rose-Dulcina; Didier Hannouche; Stéphane Armand
Journal:  PLoS One       Date:  2020-01-29       Impact factor: 3.240

4.  Three-dimensional motion analysis of ten common Asian sitting positions in daily living and factors affect range of hip motions.

Authors:  Phob Ganokroj; Jirayu Chaowalitwong; Pichitpol Kerdsomnuek; Narumol Sudjai; Pisit Lertwanich; Bavornrat Vanadurongwan
Journal:  BMC Musculoskelet Disord       Date:  2021-07-12       Impact factor: 2.362

Review 5.  Sensor-to-Segment Calibration Methodologies for Lower-Body Kinematic Analysis with Inertial Sensors: A Systematic Review.

Authors:  Léonie Pacher; Christian Chatellier; Rodolphe Vauzelle; Laetitia Fradet
Journal:  Sensors (Basel)       Date:  2020-06-11       Impact factor: 3.576

  5 in total

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