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Aalborg, Denmark

SPINEFX is an integrated ITN comprising academic, industrial and clinical partners that is designed to create exceptionally trained researchers with the key skills to deliver commercially significant, innovative solutions to the challenges posed by spinal disease and trauma, namely vertebral fracture. The significant economic and personal impact of these fractures can be gleaned from the fact that in osteoporosis 1 in 3 women will suffer one. Added to this is the high cost of vertebral fractures due to trauma, which can exceed 1 million per patient. It is only with a multidisciplinary approach, which is a synthesis of key academic and industrial skills, that high quality training can be delivered to researchers to address this economic and individual burden. Early Stage Researchers (ESRs) will be located within internationally renowned academic institutions with state-of-the-art facilities and will be involved in projects organized around key themes which cascade over basic, oriented and applied research in a truly bench to bedside and beyond manner. New knowledge generated by the ESRs will be exploited by the Experienced Researchers (ERs) who will be located in three of Europes leading Small-Medium Sized Enterprises in this arena. Here the ERs will strengthen their scientific competencies in a market-driven environment and advance their managerial and knowledge transfer skills. As well as playing a significant role in training-through-research, Industry will also be a central element of the Structured Training. The latter includes Network-Wide Workshops open to the international community, secondments and the co-hosting of the Final Conference in conjunction with the EuroSpine Meeting organized by the Spine Society for Europe. All training will emphasise both complementary and scientific skills, thus significantly enhancing the career prospects of the ESRs/ERs and creating future research leaders.


Grant
Agency: Cordis | Branch: FP7 | Program: CP-IP | Phase: NMP.2012.2.2-1 | Award Amount: 18.29M | Year: 2013

Articulating joint replacements represent a medical market exceeding 14 billion p.a. that is expected to rise as demographics reflect an ageing population. However, faster growth has been seen in the revision market, where prosthetic joints are replaced, than in primary interventions. The major cause of these revisions is that all joint replacements are prone to wear leading to loss of implant function. Further, it has been demonstrated that adverse or extreme loading has a detrimental effect on implant performance. Thus, device failure still occurs too frequently leading to the conclusion that their longevity and reliability must be improved. The premise of this proposal is to realise that wear and corrosion are an inevitable consequence of all implant interfaces within contemporary total joint replacements. To overcome this problem our novel approach is to use silicon nitride coatings in which the combined high wear resistance of this material and solubility of any silicon nitride wear particles released, reduce the overall potential for adverse tissue reactions. In this work a variety of silicon nitride based coatings will be applied to different tribological scenarios related to total hip arthroplasty. The coatings suitability in each scenario will be assessed against target profiles. In particular, it is important to consider coating performance within each of these applications under adverse conditions as well as those outlined in internationally utilised standards. To accomplish this, cutting-edge adverse simulation techniques, in vitro assays and animal models will be developed together with a suite of computational assessments to significantly enhance device testing in terms of predicting clinical performance. Data will inform new standards development and enhance current testing scenarios, and will provide 5 European enterprises with a significant market advantage, whilst providing data for a regulatory submission which is aligned with Dir 93/42/EEC.


Andersen M.S.,University of Aalborg | Benoit D.L.,University of Ottawa | Damsgaard M.,AnyBody Technology A S | Ramsey D.K.,State University of New York at Buffalo | Rasmussen J.,University of Aalborg
Journal of Biomechanics | Year: 2010

We investigated the effects of including kinematic constraints in the analysis of knee kinematics from skin markers and compared the result to simultaneously recorded trajectories of bone pin markers during gait of six healthy subjects. The constraint equations that were considered for the knee were spherical and revolute joints, which have been frequently used in musculoskeletal modelling. In the models, the joint centres and joint axes of rotations were optimised from the skin marker trajectories over the trial. It was found that the introduction of kinematic constraints did not reduce the error associated with soft tissue artefacts. The inclusion of a revolute joint constraint showed a statistically significant increase in the mean flexion/extension joint angle error and no statistically significant change for the two other mean joint angle errors. The inclusion of a spherical joint showed a statistically significant increase in the mean flexion/extension and abduction/adduction errors. In addition, when a spherical joint was included, a statistically significant increase in the sum of squared differences between measured marker trajectories and the trajectories of the pin markers in the models was seen. From this, it was concluded that both more advanced knee models as well as models of soft tissue artefacts should be developed before accurate knee kinematics can be calculated from skin markers. © 2009 Elsevier Ltd. All rights reserved. Source


Benoit D.L.,University of Ottawa | Damsgaard M.,AnyBody Technology A S | Andersen M.S.,University of Aalborg
Journal of Biomechanics | Year: 2015

When recording human movement with stereophotogrammetry, skin deformation and displacement (soft tissue artefact; STA) inhibits surface markers' ability to validly represent the movement of the underlying bone. To resolve this issue, the components of marker motions which contribute to STA must be understood. The purpose of this study is to describe and quantify which components of this marker motion (cluster translation, rotation, scaling and deformation) contribute to STA during the stance phase of walking, a cutting manoeuvre, and one-legged hops. In vivo bone pin-based tibio-femoral kinematics of six healthy subjects were used to study skin marker-based STA. To quantify how total cluster translation, rotation, scaling and deformation contribute to STA, a resizable and deformable cluster model was constructed. STA was found to be greater in the thigh than the shank during all three movements. We found that the non-rigid (i.e. scaling and deformation) movements contribute very little to the overall amount of error, rendering surface marker optimisation methods aimed at minimising this component superfluous. The results of the current study indicate that procedures designed to account for cluster translation and rotation during human movement are required to correctly represent the motion of body segments, however reducing marker cluster scaling and deformation will have little effect on STA. © 2015 Elsevier Ltd. Source


Andersen M.S.,University of Aalborg | Damsgaard M.,AnyBody Technology A S | Rasmussen J.,University of Aalborg | Ramsey D.K.,State University of New York at Buffalo | Benoit D.L.,University of Ottawa
Gait and Posture | Year: 2012

We investigated the accuracy of a linear soft tissue artefact (STA) model in human movement analysis. Simultaneously recorded bone-mounted pin and skin marker data for the thigh and shank during walking, cutting and hopping were used to measure and model the motion of the skin marker clusters within anatomical reference frames (ARFs). This linear model allows skin marker movements relative to the underlying bone contrary to a rigid-body assumption. The linear model parameters were computed through a principal component analysis, which revealed that 95% of the variance of the STA motion for the thigh was contained in the first four principal components for all three tasks and all subjects. For the shank, 95% of the variance was contained in the first four principal components during walking and cutting and first five during hopping. For the thigh, the maximum residual artefact was reduced from 27.0. mm to 5.1. mm (walking), 22.7. mm to 3.0. mm (cutting) and 16.2. mm to 3.5. mm (hopping) compared to a rigid-body assumption. Similar reductions were observed for the shank: 24.2. mm to 1.9. mm (walking), 20.3. mm to 1.9. mm (cutting) and 14.7. mm to 1.8. mm (hopping). A geometric analysis of the first four principal components revealed that, within the ARFs, marker cluster STA is governed by rigid-body translations and rotations rather than deformations. The challenge remains, however, in finding the linear model parameters without bone pin data, but this investigation shows that relatively few parameters in a linear model are required to model the vast majority of the STA movements. © 2011 Elsevier B.V.. Source

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