Literature DB >> 28726074

Error performances of a model-based biplane fluoroscopic system for tracking knee prosthesis during treadmill gait task.

Arnaud Barré1,2, Kamiar Aminian3.   

Abstract

Roentgen stereophotogrammetry analysis technique allows an accurate measurement of knee joint prosthesis position and orientation using two X-ray images. Although this technique is used generally during static procedure, it is possible to use it with a biplane fluoroscopic system to measure the prosthesis kinematics during functional tasks (e.g., gait, squat, jump) performed in a laboratory environment. However, the performance of the system in terms of errors for the measurements and the model-based matching algorithm are not well known for dynamic tasks such as walking. The goal of this study was to estimate the static and dynamic errors of a model-based biplane fluoroscopic system for a treadmill gait task and analyze the error performance according to the speed and location of the knee joint prosthesis relative to X-ray sources. The results show a static maximum error (RMSE) of 0.13° for orientation and 0.06 mm for position for prosthesis components. The dynamic errors were different for each axis of the acquisition system and each prosthesis component. The largest dynamic error was along the vertical axis for the position (RMSE = 2.42 mm) and along the medio-lateral axis (perpendicular to movement) for the orientation (RMSE = 0.95°). As expected, the error depends on the distance between the prosthesis and the source in the acquisition system as well as the linear and angular velocity of the movement. The most accurate dynamic measure was around the centroid of the acquisition system, while kinematics measurements close to the X-rays detectors gave the worst errors.

Entities:  

Keywords:  Accuracy; Biplane fluoroscopy; Knee kinematics; Treadmill gait; Validation

Mesh:

Year:  2017        PMID: 28726074     DOI: 10.1007/s11517-017-1680-4

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  29 in total

1.  Evaluation of three pose estimation algorithms for model-based roentgen stereophotogrammetric analysis.

Authors:  B L Kaptein; E R Valstar; B C Stoel; P M Rozing; J H C Reiber
Journal:  Proc Inst Mech Eng H       Date:  2004       Impact factor: 1.617

Review 2.  Roentgen stereophotogrammetry. A method for the study of the kinematics of the skeletal system.

Authors:  G Selvik
Journal:  Acta Orthop Scand Suppl       Date:  1989

3.  Marker Configuration Model-Based Roentgen Fluoroscopic Analysis.

Authors:  Eric H Garling; Bart L Kaptein; Koos Geleijns; Rob G H H Nelissen; Edward R Valstar
Journal:  J Biomech       Date:  2005-04       Impact factor: 2.712

4.  Quantification of soft tissue artefact in motion analysis by combining 3D fluoroscopy and stereophotogrammetry: a study on two subjects.

Authors:  Rita Stagni; Silvia Fantozzi; Angelo Cappello; Alberto Leardini
Journal:  Clin Biomech (Bristol, Avon)       Date:  2005-03       Impact factor: 2.063

5.  An optimized image matching method for determining in-vivo TKA kinematics with a dual-orthogonal fluoroscopic imaging system.

Authors:  Jeffrey Bingham; Guoan Li
Journal:  J Biomech Eng       Date:  2006-08       Impact factor: 2.097

6.  Active contour external force using vector field convolution for image segmentation.

Authors:  Bing Li; Scott T Acton
Journal:  IEEE Trans Image Process       Date:  2007-08       Impact factor: 10.856

7.  Marker-based validation of a biplane fluoroscopy system for quantifying foot kinematics.

Authors:  Joseph M Iaquinto; Richard Tsai; David R Haynor; Michael J Fassbind; Bruce J Sangeorzan; William R Ledoux
Journal:  Med Eng Phys       Date:  2013-09-24       Impact factor: 2.242

8.  Accuracy of a contour-based biplane fluoroscopy technique for tracking knee joint kinematics of different speeds.

Authors:  J Erik Giphart; Christopher A Zirker; Casey A Myers; W Wesley Pennington; Robert F LaPrade
Journal:  J Biomech       Date:  2012-09-25       Impact factor: 2.712

9.  Predicting 3D pose in partially overlapped X-ray images of knee prostheses using model-based Roentgen stereophotogrammetric analysis (RSA).

Authors:  Chi-Pin Hsu; Shang-Chih Lin; Kao-Shang Shih; Chang-Hung Huang; Chian-Her Lee
Journal:  Med Biol Eng Comput       Date:  2014-10-08       Impact factor: 2.602

10.  A joint coordinate system for the clinical description of three-dimensional motions: application to the knee.

Authors:  E S Grood; W J Suntay
Journal:  J Biomech Eng       Date:  1983-05       Impact factor: 2.097

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  1 in total

1.  Verifying a C-arm-based roentgen stereophotogrammetric analysis protocol for assessing tibial implant movement in total knee arthroplasty.

Authors:  Vivian W J Chung; Robyn Newell; Angela Kedgley; Carolyn Anglin; Bassam A Masri; Antony J Hodgson
Journal:  Med Biol Eng Comput       Date:  2022-06-28       Impact factor: 3.079

  1 in total

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