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Evaluation of a multibody kinematics optimization method for three-dimensional canine pelvic limb gait analysis.
Lin, Cheng-Chung; Wu, Ching-Ho; Chou, Po-Yen; Wang, Shi-Nuan; Hsu, Wei-Ru; Lu, Tung-Wu.
Afiliação
  • Lin CC; Department of Electrical Engineering, Fu Jen Catholic University, New Taipei City, Taiwan.
  • Wu CH; Institute of Veterinary Clinical Science, School of Veterinary Medicine, National Taiwan University, Taipei, Taiwan. chinghowu@ntu.edu.tw.
  • Chou PY; Department of Surgical and Radiological Science, School of Veterinary Medicine, University of California Davis, Davis, CA, USA.
  • Wang SN; Institute of Veterinary Clinical Science, School of Veterinary Medicine, National Taiwan University, Taipei, Taiwan.
  • Hsu WR; Institute of Veterinary Clinical Science, School of Veterinary Medicine, National Taiwan University, Taipei, Taiwan.
  • Lu TW; Department of Biomedical Engineering and Department of Orthopedic Surgery, School of Medicine, National Taiwan University, Taipei, Taiwan.
BMC Vet Res ; 16(1): 105, 2020 Apr 03.
Article em En | MEDLINE | ID: mdl-32245381
BACKGROUND: Skin marker-based three-dimensional kinematic gait analysis were commonly used to assess the functional performance and movement biomechanics of the pelvic limb in dogs. Unfortunately, soft tissue artefact would compromise the accuracy of the reproduced pelvic limb kinematics. Multibody kinematics optimization framework was often employed to compensate the soft tissue artefact for a more accurate description of human joint kinematics, but its performance on the determination of canine pelvic limb skeletal kinematics has never been evaluated. This study aimed to evaluate a multibody kinematics optimization framework used for the determination of canine pelvic limb kinematics during gait by comparing its results to those obtained using computed tomography model-based fluoroscopy analysis. RESULTS: Eight clinically normal dogs were enrolled in the study. Fluoroscopy videos of the stifle joint and skin marker trajectories were acquired when the dogs walked on a treadmill. The pelvic limb kinematics were reconstructed through marker-based multibody kinematics optimization and single-body optimization. The reference kinematics data were derived via a model-based fluoroscopy analysis. The use of multibody kinematics optimization yielded a significantly more accurate estimation of flexion/extension of the hip and stifle joints than the use of single-body optimization. The accuracy of the joint model parameters and the weightings to individual markers both influenced the soft tissue artefact compensation capability. CONCLUSIONS: Multibody kinematics optimization designated for soft tissue artefact compensation was established and evaluated for its performance on canine gait analysis, which provided a further step in more accurately describing sagittal plane kinematics of the hip and stifle joints.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Limite: Animals Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Limite: Animals Idioma: En Ano de publicação: 2020 Tipo de documento: Article