Fraunhofer-Gesellschaft

Publica

Hier finden Sie wissenschaftliche Publikationen aus den Fraunhofer-Instituten.

A workflow to investigate patient-specific prosthetic devices

Poster presented at 2nd International Symposium on Innovations in Amputation Surgery and Prosthetic Technologies 2018, May 10-12, 2018, Vienna, Austria
 
: Ramasamy, Ellankavi; Dorow, Beate; Avci, Okan; Schneider, Urs; Röhrle, Oliver

:
Poster urn:nbn:de:0011-n-5184718 (7.1 MByte PDF)
MD5 Fingerprint: eadffd67bf656cfa0748ccc27f4415df
Erstellt am: 13.11.2018


2018, 1 Folie
International Symposium on Innovations in Amputation Surgery and Prosthetic Technologies <2, 2018, Vienna>
Englisch
Poster, Elektronische Publikation
Fraunhofer IPA ()
Prothese; computer simulation; Workflow; personalisierte Medizin; Magnetresonanztomographie (MRT); Finite-Elemente

Abstract
The lack of an efficient workflow for creating and utilising detailed subject-specific computational models is one of the key reasons why simulation-based approaches for analysing socket-stump interaction have not yet been successfully established yet. Herein, we propose a novel and efficient workflow for generating a detailed subject-specific, three-dimensional finite element model of an entire residual limb from Diffusion Tensor MRI images. To complete the workflow, the generated model is used within an implicit dynamic FE simulation of bipedal stance to predict the potential sites of deep tissue injury. The results of the bipedal stance simulation showed that peak stresses in the state-of-the-art model were four times lower when compared to our detailed model. The peak interface stress in the individual-muscle model, at the end of bipedal stance analysis, was 2.63 times lower than that in the deep tissues of the stump. At the end of the bipedal stance analysis using the misfitted socket, the state-of-the-art model predicted that 7.65% of the residual limb volume was injured, while the detailed-model predicted 16.03%. The proposed approach is not only limited to modelling residual limbs but also has applications in predicting the impact of plastic surgery, for detailed forward-dynamics simulations of normal musculoskeletal systems.

: http://publica.fraunhofer.de/dokumente/N-518471.html