61955 20190709135420.0 doi 10.1016/j.jmbbm.2016.08.026 sideral 96207 ART-2017-96207 eng (orcid)0000-0002-2231-1542 Garijo Millán, Noelia Subject-specific musculoskeletal loading of the tibia: Computational load estimation 2017 Access copy available to the general public Unrestricted The systematic development of subject-specific computer models for the analysis of personalized treatments is currently a reality. In fact, many advances have recently been developed for creating virtual finite element-based models. These models accurately recreate subject-specific geometries and material properties from recent techniques based on quantitative image analysis. However, to determine the subject-specific forces, we need a full gait analysis, typically in combination with an inverse dynamics simulation study. In this work, we aim to determine the subject-specific forces from the computer tomography images used to evaluate bone density. In fact, we propose a methodology that combines these images with bone remodelling simulations and artificial neural networks. To test the capability of this novel technique, we quantify the personalized forces for five subject-specific tibias using our technique and a gait analysis. We compare both results, finding that similar vertical loads are estimated by both methods and that the dominant part of the load can be reliably computed. Therefore, we can conclude that the numerical-based technique proposed in this work has great potential for estimating the main forces that define the mechanical behaviour of subject-specific bone. info:eu-repo/grantAgreement/EC/FP7/306571/EU/Predictive modelling and simulation in mechano-chemo-biology: a computer multi-approach/INSILICO-CELL info:eu-repo/grantAgreement/EC/FP7/286179/EU/Patient-specific predictions for bone treatments/CAD-BONE info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ 3.239 2017 ENGINEERING, BIOMEDICAL 18 / 78 = 0.231 2017 Q1 T1 MATERIALS SCIENCE, BIOMATERIALS 15 / 33 = 0.455 2017 Q2 T2 0.958 2017 Biomedical Engineering 2017 Q1 Mechanics of Materials 2017 Q1 Biomaterials 2017 Q2 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Verdonschotb, Nico Engelborghsd, Koen (orcid)0000-0002-9864-7683 García-Aznar, Jose Manuel Universidad de Zaragoza (orcid)0000-0002-2901-4188 Pérez, Mª Angeles Universidad de Zaragoza 5004 605 Universidad de Zaragoza Dpto. Ingeniería Mecánica Área Mec.Med.Cont. y Teor.Est. 65 (2017), 334–343 J. mech. behav. boomed. mater. Journal of the Mechanical Behavior of Biomedical Materials 1751-6161 1426824 http://zaguan.unizar.es/record/61955/files/texto_completo.pdf Postprint 61989 http://zaguan.unizar.es/record/61955/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:61955 articulos driver 2019-07-09-11:26:07 ARTICLE