Technical note: a multi-dimensional description of knee laxity using radial basis functions

Cyr, Adam J.; Maletsky, Lorin P.

doi:10.1080/10255842.2014.946913

Cited by 3 publications

(3 citation statements)

References 21 publications

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“…Experimental knee laxity motion and loading information were processed for all DOF using the radial basis function (RBF) technique described by Cyr and Maletsky [17]. While loads were manually applied in a single plane, knees experience an inherent multiplanar response due to articular geometry constraints and the coupled constraint of passive structures pulling in different DOF.…”

Section: Methodsmentioning

confidence: 99%

A Combined Experimental and Computational Approach to Subject-Specific Analysis of Knee Joint Laxity

Harris

Cyr

Ali

et al. 2016

Journal of Biomechanical Engineering

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Modeling complex knee biomechanics is a continual challenge, which has resulted in many models of varying levels of quality, complexity, and validation. Beyond modeling healthy knees, accurately mimicking pathologic knee mechanics, such as after cruciate rupture or meniscectomy, is difficult. Experimental tests of knee laxity can provide important information about ligament engagement and overall contributions to knee stability for development of subject-specific models to accurately simulate knee motion and loading. Our objective was to provide combined experimental tests and finite-element (FE) models of natural knee laxity that are subject-specific, have one-to-one experiment to model calibration, simulate ligament engagement in agreement with literature, and are adaptable for a variety of biomechanical investigations (e.g., cartilage contact, ligament strain, in vivo kinematics). Calibration involved perturbing ligament stiffness, initial ligament strain, and attachment location until model-predicted kinematics and ligament engagement matched experimental reports. Errors between model-predicted and experimental kinematics averaged <2 deg during varus-valgus (VV) rotations, <6 deg during internal-external (IE) rotations, and <3 mm of translation during anterior-posterior (AP) displacements. Engagement of the individual ligaments agreed with literature descriptions. These results demonstrate the ability of our constraint models to be customized for multiple individuals and simultaneously call attention to the need to verify that ligament engagement is in good general agreement with literature. To facilitate further investigations of subject-specific or population based knee joint biomechanics, data collected during the experimental and modeling phases of this study are available for download by the research community.

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Section: Methodsmentioning

confidence: 99%

A Combined Experimental and Computational Approach to Subject-Specific Analysis of Knee Joint Laxity

Harris

Cyr

Ali

et al. 2016

Journal of Biomechanical Engineering

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“…The overall knee size, tibiofemoral alignment, the ratio of medial‐to‐lateral epicondylar radii, and the articular surface's size and shape were some of the factors contributing to population variability. Studies have also shown variability in the passive range of motion between subjects 16,21–23 . For example, varus−valgus (VV) and internal−external (IE) rotation range of motion can vary between 5° and 15° and 20−45°, respectively.…”

Section: Introductionmentioning

confidence: 99%

“…Studies have also shown variability in the passive range of motion between subjects. 16,[21][22][23] For example, varus−valgus (VV) and internal−external (IE) rotation range of motion can vary between 5°a nd 15°and 20−45°, respectively. Larger inter-subject variability was observed in the low-stiffness region compared to the high-stiffness region.…”

Section: Introductionmentioning

confidence: 99%

Correlation between knee anatomy and joint laxity using principal component analysis

Shalhoub

Cyr

Maletsky

2022

Journal Orthopaedic Research

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Knee articular geometry and surface morphology greatly affect knee joint mechanics. Intra‐subject variations in bone morphology and the passive range of motion have been well documented in the literature; however, the relationship between these two characteristics is not well understood. The objective of this study was to describe the correlation between knee joint anatomical features and passive range of motion using a statistical model. A principal component model was developed using femoral and tibial articular geometry, knee joint initial stance position, and the passive laxity envelope obtained from 27 cadaveric knees. The results from the principal component analysis showed high correlation between the anatomical features and the tibiofemoral passive envelope; an increase in the average femoral condyle radii, an increase in slope of the tibial spine, and a higher tibial plateau concavity correlated with a decrease in varus−valgus and internal−external range of motion. Understanding the correlation between anatomical features and tibiofemoral laxity could aid in the development of orthopedic implant designs by quantifying the effect of perturbing specific anatomical features on knee laxity and identifying specific implant femoral and tibial articular geometry necessary to obtain a targeted passive range of motion.

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Meshfree and Particle Methods in Biomechanics: Prospects and Challenges

Zhang

Ademiloye

Liew

2018

Arch Computat Methods Eng

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The use of meshfree and particle methods in the field of bioengineering and biomechanics has significantly increased. This may be attributed to their unique abilities to overcome most of the inherent limitations of mesh-based methods in dealing with problems involving large deformation and complex geometry that are common in bioengineering and computational biomechanics in particular. This review article is intended to identify, highlight and summarize research works on topics that are of substantial interest in the field of computational biomechanics in which meshfree or particle methods have been employed for analysis, simulation or/and modeling of biological systems such as soft matters, cells, biological soft and hard tissues and organs. We also anticipate that this review will serve as a useful resource and guide to researchers who intend to extend their work into these research areas. This review article includes 333 references. Highlights  We present an up to date review of meshfree and particle methods, including their advantages and limitations.  We comprehensively discuss past and recent applications of meshfree and particle methods in bioengineering and biomechanics.  We identify research areas, directions, and opportunities for the application of meshfree and particle methods in bioengineering and biomechanics.

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Technical note: a multi-dimensional description of knee laxity using radial basis functions

Cited by 3 publications

References 21 publications

A Combined Experimental and Computational Approach to Subject-Specific Analysis of Knee Joint Laxity

A Combined Experimental and Computational Approach to Subject-Specific Analysis of Knee Joint Laxity

Correlation between knee anatomy and joint laxity using principal component analysis

Meshfree and Particle Methods in Biomechanics: Prospects and Challenges

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