TY - GEN
T1 - Methodology of multicriterial optimization of geometric features of an orthopedic implant
AU - Muzalewska, Małgorzata
AU - Moczulski, Wojciech
N1 - Publisher Copyright:
© 2018, Springer International Publishing AG.
PY - 2018
Y1 - 2018
N2 - The main goal of this paper is the development of a methodology of multicriterial optimization of geometric features (the geometric form and dimension system) of an orthopedic implant responsible for supporting the reconstruction of the anterior cruciate ligament in the knee joint. The methodology takes advantage of the artificial immune system for optimization. To select an optimal solution two criteria have been used: the implant should be strong enough and enable the best blood perfusion. Two independent approaches were used for the selection: 1) based on the calculation of the weighted sum method, and 2) based on the Pareto front. Additionally, evaluation of the results was made using strength verification. In the first step, the implant model was put into the bone model. In the second step of the simulation it was pulled off the graft by the implant. Finally, results of optimisation were assessed by medical doctors and technology engineers.
AB - The main goal of this paper is the development of a methodology of multicriterial optimization of geometric features (the geometric form and dimension system) of an orthopedic implant responsible for supporting the reconstruction of the anterior cruciate ligament in the knee joint. The methodology takes advantage of the artificial immune system for optimization. To select an optimal solution two criteria have been used: the implant should be strong enough and enable the best blood perfusion. Two independent approaches were used for the selection: 1) based on the calculation of the weighted sum method, and 2) based on the Pareto front. Additionally, evaluation of the results was made using strength verification. In the first step, the implant model was put into the bone model. In the second step of the simulation it was pulled off the graft by the implant. Finally, results of optimisation were assessed by medical doctors and technology engineers.
KW - Artificial immune system
KW - Optimization of the geometric features
KW - Orthopedic implant
KW - Pareto optimization
KW - Reconstruction of the anterior cruciate ligament
UR - https://www.scopus.com/pages/publications/85034235271
U2 - 10.1007/978-3-319-70063-2_31
DO - 10.1007/978-3-319-70063-2_31
M3 - Conference contribution
AN - SCOPUS:85034235271
SN - 9783319700625
T3 - Advances in Intelligent Systems and Computing
SP - 289
EP - 297
BT - Innovations in Biomedical Engineering
A2 - Gzik, Marek
A2 - Paszenda, Zbigniew
A2 - Tkacz, Ewaryst
A2 - Pietka, Ewa
PB - Springer Verlag
T2 - Conference on Innovations in Biomedical Engineering, IBE 2017
Y2 - 19 October 2017 through 20 October 2017
ER -