TY - JOUR
T1 - Non-standard bone simulation
T2 - Interactive numerical analysis by computational steering
AU - Yang, Zhengxiong
AU - Kollmannsberger, Stefan
AU - Düster, Alexander
AU - Ruess, Martin
AU - Garcia, Eduardo Grande
AU - Burgkart, Rainer
AU - Rank, Ernst
N1 - Funding Information:
Acknowledgments This work has been supported by the SIEMENS AG and TUM International Graduate School of Science and Engineering (IGSSE) within the Excellence Initiative by the German Government. This support is gratefully acknowledged. Further, we would like to thank C. Dick and R. Westermann for providing their computational steering environment into which we have integrated our Finite Cell Method.
PY - 2012/6
Y1 - 2012/6
N2 - Numerous numerical methods have been developed in an effort to accurately predict stresses in bones. The largest group are variants of the h-version of the finite element method (h-FEM), where low order Ansatz functions are used. By contrast, we3 investigate a combination of high order FEM and a fictitious domain approach, the finite cell method (FCM). While the FCM has been verified and validated in previous publications, this article proposes methods on how the FCM can be made computationally efficient to the extent that it can be used for patient specific, interactive bone simulations. This approach is called computa- tional steering and allows to change input parameters like the position of an implant, material or loads and leads to an almost instantaneous change in the output (stress lines, deformations). This direct feedback gives the user an immediate impression of the impact of his actions to an extent which, otherwise, is hard to obtain by the use of classical non interactive computations. Specifically, we investigate an application to pre-surgical planning of a total hip replacement where it is desirable to select an optimal implant for a specific patient. Herein, optimal is meant in the sense that the expected postoperative stress distribution in the bone closely resembles that before the operation.
AB - Numerous numerical methods have been developed in an effort to accurately predict stresses in bones. The largest group are variants of the h-version of the finite element method (h-FEM), where low order Ansatz functions are used. By contrast, we3 investigate a combination of high order FEM and a fictitious domain approach, the finite cell method (FCM). While the FCM has been verified and validated in previous publications, this article proposes methods on how the FCM can be made computationally efficient to the extent that it can be used for patient specific, interactive bone simulations. This approach is called computa- tional steering and allows to change input parameters like the position of an implant, material or loads and leads to an almost instantaneous change in the output (stress lines, deformations). This direct feedback gives the user an immediate impression of the impact of his actions to an extent which, otherwise, is hard to obtain by the use of classical non interactive computations. Specifically, we investigate an application to pre-surgical planning of a total hip replacement where it is desirable to select an optimal implant for a specific patient. Herein, optimal is meant in the sense that the expected postoperative stress distribution in the bone closely resembles that before the operation.
KW - Computational steering
KW - Finite cell method
KW - Surgical planning
KW - Total hip replacement
UR - http://www.scopus.com/inward/record.url?scp=84861097671&partnerID=8YFLogxK
U2 - 10.1007/s00791-012-0175-y
DO - 10.1007/s00791-012-0175-y
M3 - Article
AN - SCOPUS:84861097671
SN - 1432-9360
VL - 14
SP - 207
EP - 216
JO - Computing and Visualization in Science
JF - Computing and Visualization in Science
IS - 5
ER -