Automated muscle wrapping using finite element contact detection

Favre, Philippe; Gerber, Christian; Snedeker, Jess G.

doi:10.1016/j.jbiomech.2010.03.018

Cited by 23 publications

(25 citation statements)

References 56 publications

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“…A 3D deformable model of the glenohumeral joint was combined with previous methods of muscle wrapping (Favre et al, 2010) and muscle force estimation (Favre et al, 2005) to simulate active joint balance and stabilization ( Supplementary Fig. 1).…”

Section: Methodsmentioning

confidence: 99%

“…The muscle paths for 27 muscle segments were computed using the current bone geometries (Supplementary Fig. 1A) within an automated wrapping paradigm (Favre et al, 2010). For muscles that do not attach on the scapula (latissimus dorsi and pectoralis major), the origin sites were measured using a previously published physical model (Favre et al, 2005(Favre et al, , 2009a.…”

Section: Methodsmentioning

confidence: 99%

“…Simulation of scapular rotation may be necessary in motions where these muscles become more active. Scaption only was simulated to replicate the available published data, but the wrapping and muscle force estimation techniques work independently of joint position and load (Favre et al, 2005(Favre et al, , 2010, and so does the FE joint contact modeling method (as demonstrated for the nine tested positions in the scapular plane). Daily life activities can now be simulated using reported data (Anglin and Wyss, 2000;Murray and Johnson, 2004) to test if muscular stabilization alone is also sufficient in other tasks than scaption.…”

Section: Superior-inferior Translationsmentioning

confidence: 99%

“…Image-based reconstruction of the subject bony, cartilaginous and labral structures would open up new possibilities in subject specific shoulder modeling. The influence of the anatomy can be captured by the muscle wrapping step (Favre et al, 2010), the muscle force estimation (Fig. 3) and in the FE joint contact surfaces.…”

Section: Superior-inferior Translationsmentioning

confidence: 99%

See 3 more Smart Citations

An integrated model of active glenohumeral stability

Favre

Senteler

Hipp

et al. 2012

Journal of Biomechanics

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Superior-inferior Translationsmentioning

confidence: 99%

Section: Superior-inferior Translationsmentioning

confidence: 99%

See 2 more Smart Citations

An integrated model of active glenohumeral stability

Favre

Senteler

Hipp

et al. 2012

Journal of Biomechanics

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“…In the most sophisticated models of this kind, action lines are considered as elastic strings that can wrap automatically around multiple surfaces, known as obstacles, which might be a set of spheres, cylinders, ellipsoids or cones (Garner and Pandy, 2000), a set of parallel contours (Gao et al, 2002) or arbitrary volumetric data (Favre et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Fast Deformation for Modelling of Musculoskeletal System

Kohout

Kellnhofer

Martelli

2012

Proceedings of the International Conference on Computer Graphics Theory and Applications

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Abstract:This paper proposes a gradient domain deformation for wrapping surface models of muscles around bones as they move during a simulation of physiological activities. Each muscle is associated with one or more poly-lines that represent the muscle skeleton to which the surface model of the muscle is bound so that transformation of the skeleton (caused by the movement of bones) produces transformation of the vertices of the mesh subject to Laplacian linear constraints to preserve the local shape of the mesh and non-linear volume constraints to preserve the volume of the mesh. All these constraints form a system of equations that is solved using the iterative Gauss-Newton method with Lagrange multipliers. Our C++ implementation can wrap a muscle of medium size in about a couple of ms up to 400 ms on commodity hardware depending on the type of parallelization, whilst it can keep the change in volume below 0.04%. A preliminary biomechanical assessment of the proposed technique suggests that it can produce realistic results and thanks to its rapid processing speed, it might be an attractive alternative to the methods that are used in clinical practise at present.

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A larger critical shoulder angle requires more rotator cuff activity to preserve joint stability

Viehöfer

Gerber

Favre

et al. 2015

Journal Orthopaedic Research

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Shoulders with rotator cuff tears (RCT) tears are associated with significantly larger critical shoulder angles (CSA) (RCT CSA ¼ 38.2˚) than shoulders without RCT (CSA ¼ 32.9˚). We hypothesized that larger CSAs increase the ratio of glenohumeral joint shear to joint compression forces, requiring substantially increased compensatory supraspinatus loads to stabilize the arm in abduction. A previously established three dimensional (3D) finite element (FE) model was used. Two acromion shapes mimicked the mean CSA of 38.2˚found in patients with RCT and that of a normal CSA (32.9˚). In a first step, the moment arms for each muscle segment were obtained for 21 different thoracohumeral abduction angles to simulate a quasi-static abduction in the scapular plane. In a second step, the muscle forces were calculated by minimizing the range of muscle stresses able to compensate an external joint moment caused by the arm weight. If the joint became unstable, additional force was applied by the rotator cuff muscles to restore joint stability. The model showed a higher joint shear to joint compressive force for the RCT CSA (38.2˚) for thoracohumeral abduction angles between 40å nd 90˚with a peak difference of 23% at 50˚of abduction. To achieve stability in this case additional rotator cuff forces exceeding physiological values were required. Our results document that a higher CSA tends to destabilize the glenohumeral joint such that higher than normal supraspinatus forces are required to maintain modeled stability during active abduction. This lends strong support to the concept that a high CSA can induce supraspinatus (SSP) overload. The etiology of rotator cuff tears (RCT) is considered multifactorial and the contribution of an excessive load on the rotator cuff (RC) is a subject of ongoing debate. Recent clinical studies have reported a correlation between scapular geometry and the prevalence of RCT 1-4 indicating that anatomy related biomechanical factors may play an important role in the development of RCT. The lateral extension of the acromion (acromion index 2 ), and the inclination of the glenoid 1 have both emerged as important factors of interest. The critical shoulder angle (CSA) considers both the lateral extension of the acromion and the inclination of the glenoid, and is defined as the angle between the glenoid surface and a line connecting the inferior rim of the glenoid and the lateral tip of the acromion (Fig. 1). It has recently been identified as the strongest known anatomical predictor for the development of RCT 5 . The intuitive biomechanical basis of this relationship is that the lateral extension of the acromion leads to a more vertical line of action of the deltoid and therefore, promotes the tendency for a superior dislocation of the humeral head.2,3 More recently, this hypothesis has been experimentally supported using a robotic shoulder simulator.6 However, this experimental simulator setup required reduction of the problem to a two dimensional (2D) load case in which potentially important c...

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Automated muscle wrapping using finite element contact detection

Cited by 23 publications

References 56 publications

An integrated model of active glenohumeral stability

An integrated model of active glenohumeral stability

Fast Deformation for Modelling of Musculoskeletal System

A larger critical shoulder angle requires more rotator cuff activity to preserve joint stability

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