The weighted optimal common shape technique improves identification of the hip joint center of rotation in vivo

Functional methods present a promising approach for the identification of skeletal kinematics, but their accuracy is limited by soft tissue artifacts (STAs). We hypothesized that consideration of the nonuniform distribution of STAs across the segment can lead to a significant improvement in the determination of the center of rotation at the hip. Twenty‐four total hip arthroplasty (THA) patients performed repetitions of a star‐arc movement. The location of the hip centers of rotation (CoRs) were estimated from the motion data using the Symmetrical Center of Rotation Estimation (SCoRE), both with and without procedures to minimize the effect of STAs. The precision of the CoR estimations was evaluated using the SCoRE residual, a measure of joint precision. Application of the newly developed weighted Optimal Common Shape Technique (wOCST) achieved the best CoR estimations with a precision of better than 3 mm, while the precision using raw data alone was up to seven times worse. Furthermore, consideration of the nonuniform distribution of STA across the surface of the skin using the wOCST produced an improvement of ∼24% over kinematics data processed using the standard OCST. Functional determination of the CoR at the hip using the newly developed wOCST can now identify the joint CoR with a precision of millimeters. Such approaches therefore offer improved precision in the assessment of skeletal kinematics and may aid in evaluating clinical treatment success and differentiating between therapy outcomes. © 2011 Orthopaedic Research Society. Published by Wiley Periodicals, Inc. J Orthop Res 29: 1470–1475, 2011

[1]  Patrick Lacouture,et al.  Comparison of the SCoRE and HA methods for locating in vivo the glenohumeral joint centre. , 2007, Journal of biomechanics.

[2]  A Cappello,et al.  Optimization and smoothing techniques in movement analysis. , 1996, International journal of bio-medical computing.

[3]  William R Taylor,et al.  A survey of formal methods for determining functional joint axes. , 2007, Journal of biomechanics.

[4]  P Lacouture,et al.  Effects of movement for estimating the hip joint centre. , 2007, Gait & posture.

[5]  William R Taylor,et al.  The SCoRE residual: a quality index to assess the accuracy of joint estimations. , 2011, Journal of biomechanics.

[6]  M O Heller,et al.  Repeatability and reproducibility of OSSCA, a functional approach for assessing the kinematics of the lower limb. , 2010, Gait & posture.

[7]  Aurelio Cappozzo,et al.  An optimized protocol for hip joint centre determination using the functional method. , 2006, Journal of biomechanics.

[8]  Scott L Delp,et al.  Evaluation of a new algorithm to determine the hip joint center. , 2006, Journal of biomechanics.

[9]  W. Taylor,et al.  Frontal plane alignment: an imageless method to predict the mechanical femoral-tibial angle (mFTA) based on functional determination of joint centres and axes. , 2010, Gait & posture.

[10]  B. Galna,et al.  Quantification of soft tissue artifact in lower limb human motion analysis: a systematic review. , 2010, Gait & posture.

[11]  Stefano Zaffagnini,et al.  Evaluation of formal methods in hip joint center assessment: an in vitro analysis. , 2010, Clinical biomechanics.

[12]  A Cappello,et al.  Effects of hip joint centre mislocation on gait analysis results. , 2000, Journal of biomechanics.

[13]  A Cappozzo,et al.  Is the human acetabulofemoral joint spherical? , 2010, The Journal of bone and joint surgery. British volume.

[14]  Ahmet Erdemir,et al.  Assessment of the functional method of hip joint center location subject to reduced range of hip motion. , 2004, Journal of biomechanics.

[15]  Alberto Leardini,et al.  Soft tissue artifact compensation in knee kinematics by double anatomical landmark calibration: performance of a novel method during selected motor tasks , 2005, IEEE Transactions on Biomedical Engineering.

[16]  I Söderkvist,et al.  Determining the movements of the skeleton using well-configured markers. , 1993, Journal of biomechanics.

[17]  Hanna Schell,et al.  On the influence of soft tissue coverage in the determination of bone kinematics using skin markers , 2005, Journal of orthopaedic research : official publication of the Orthopaedic Research Society.

[18]  A. J. van den Bogert,et al.  Effect of skin movement on the analysis of skeletal knee joint motion during running. , 1997, Journal of biomechanics.

[19]  S Toksvig-Larsen,et al.  Validation of a functional method for the estimation of hip joint centre location. , 1999, Journal of biomechanics.

[20]  T P Andriacchi,et al.  A point cluster method for in vivo motion analysis: applied to a study of knee kinematics. , 1998, Journal of biomechanical engineering.

[21]  Angelo Cappello,et al.  Quantification of soft tissue artefact in motion analysis by combining 3D fluoroscopy and stereophotogrammetry: a study on two subjects. , 2005, Clinical biomechanics.

[22]  A. Rozumalski,et al.  P041 A comparison of two functional methods for calculating joint centers and axes in a clinical setting , 2008 .

[23]  Anthony G Schache,et al.  Influence of thigh cluster configuration on the estimation of hip axial rotation. , 2008, Gait & posture.

[24]  Dan K Ramsey,et al.  Effect of skin movement artifact on knee kinematics during gait and cutting motions measured in vivo. , 2005, Gait & posture.

[25]  Angelo Cappello,et al.  Double calibration vs. global optimisation: performance and effectiveness for clinical application. , 2006, Gait & posture.

[26]  Bruce A MacWilliams,et al.  A comparison of four functional methods to determine centers and axes of rotations. , 2008, Gait & posture.

[27]  Velio Macellari,et al.  Skin marker artifacts in gait analysis , 1990 .

[28]  Jennifer L Hicks,et al.  Clinical applicability of using spherical fitting to find hip joint centers. , 2005, Gait & posture.

[29]  B. Maslen,et al.  Radiographic study of skin displacement errors in the foot and ankle during standing. , 1994, Clinical biomechanics.

[30]  A. Cappozzo,et al.  Human movement analysis using stereophotogrammetry. Part 3. Soft tissue artifact assessment and compensation. , 2005, Gait & posture.

[31]  Giancarlo Ferrigno,et al.  In-vitro experimental assessment of a new robust algorithm for hip joint centre estimation. , 2009, Journal of biomechanics.

[32]  F. Veldpaus,et al.  A least-squares algorithm for the equiform transformation from spatial marker co-ordinates. , 1988, Journal of biomechanics.

[33]  W. Taylor,et al.  A survey of formal methods for determining the centre of rotation of ball joints. , 2006, Journal of biomechanics.

[34]  D R Pedersen,et al.  A comparison of the accuracy of several hip center location prediction methods. , 1990, Journal of biomechanics.

[35]  T. Kepple,et al.  Surface movement errors in shank kinematics and knee kinetics during gait , 1997 .