Literature DB >> 28153474

Feasibility of using MRIs to create subject-specific parallel-mechanism joint models.

Simao Brito da Luz1, Luca Modenese2, Nicola Sancisi3, Peter M Mills4, Ben Kennedy4, Belinda R Beck4, David G Lloyd4.   

Abstract

Musculoskeletal models typically use generic 2D models for the tibiofemoral (TFJ) and patellofemoral (PFJ) joints, with a hinge talocrural joint (TCJ), which are scaled to each subject׳s bone dimensions. Alternatively joints' measured kinematics in cadavers are well-predicted using 3D cadaver-specific models. These employ mechanisms constrained by the articulations of geometric objects fitted to the joint׳s surfaces. In this study, we developed TFJ, PFJ and TCJ mechanism-based models off MRIs for fourteen participants and compared the estimated kinematics with those from published studies modified to be consistent with mechanisms models and subject-specific anatomical landmarks. The models' parameters were estimated by fitting spheres to segmented articular cartilage surfaces, while ligament attachment points were selected from their bony attachment regions. Each participant׳s kinematics were estimated by ensuring no length changes in ligaments and constant distances between spheres' centres. Two parameters' optimizations were performed; both avoid singularities and one best matches the kinematic patterns off published studies. Sensitivity analysis determined which parameters the models were sensitive to. With both optimization methods, kinematics did not present singularities but correlation values were higher, exceeding 0.6, when matching the published studies. However, ranges of motion (ROM) were different between estimated and published studies. Across participants, models presented large parameter variation. Small variations were found between estimated- and optimized-parameters, and in the estimated-rotations and translations' means and ROM. Model results were sensitive to changes in distal tibia, talus and patella spheres' centres. These models can be implemented in subject-specific rigid-body musculoskeletal models to estimate joint moments and loads.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Computer simulation; Joint kinematic models; MRI; Modelling; Subject-specific

Mesh:

Year:  2016        PMID: 28153474     DOI: 10.1016/j.jbiomech.2016.12.018

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  3 in total

1.  Biofeedback for Gait Retraining Based on Real-Time Estimation of Tibiofemoral Joint Contact Forces.

Authors:  Claudio Pizzolato; Monica Reggiani; David J Saxby; Elena Ceseracciu; Luca Modenese; David G Lloyd
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2017-04-18       Impact factor: 3.802

Review 2.  Bioinspired Technologies to Connect Musculoskeletal Mechanobiology to the Person for Training and Rehabilitation.

Authors:  Claudio Pizzolato; David G Lloyd; Rod S Barrett; Jill L Cook; Ming H Zheng; Thor F Besier; David J Saxby
Journal:  Front Comput Neurosci       Date:  2017-10-18       Impact factor: 2.380

3.  Minimal medical imaging can accurately reconstruct geometric bone models for musculoskeletal models.

Authors:  Edin K Suwarganda; Laura E Diamond; David G Lloyd; Thor F Besier; Ju Zhang; Bryce A Killen; Trevor N Savage; David J Saxby
Journal:  PLoS One       Date:  2019-02-11       Impact factor: 3.240

  3 in total

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