Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học quốc tế cung cấp cho các bạn kiến thức về ngành y đề tài: Volume-based non-continuum modeling of bone functional adaptation | Theoretical Biology and Medical Modelling BioMed Central Research Open Access Volume-based non-continuum modeling of bone functional adaptation Zhengyuan Wang and Adrian Mondry Address Medical and Clinical Informatics Group Bioinformatics Institute 07-01 Matrix 30 Biopolis Street 138671 Singapore Email Zhengyuan Wang - wzhengyuan@ Adrian Mondry - mondry@ Corresponding author Published 28 February 2005 Received 28 September 2004 Theoretical Biology and Medical Modelling 2005 2 6 doi 1742-4682-2-6 Accepted 28 February 2005 This article is available from http content 2 1 6 2005 WANG and MONDRY licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract Background Bone adapts to mechanical strain by rearranging the trabecular geometry and bone density. The common finite element methods used to simulate this adaptation have inconsistencies regarding material properties at each node and are computationally demanding. Here a volumebased non-continuum formulation is proposed as an alternative. Adaptive processes corresponding to various external mechanical loading conditions are simulated for the femur. Results Bone adaptations were modeled for one-legged stance abduction and adduction. Onelegged stance generally results in higher bone densities than the other two loading cases. The femoral head and neck are the regions where densities change most drastically under different loading conditions while the distal area always contains the lowest densities regardless of the loading conditions. In the proposed formulation the inconsistency of material densities or strain energy densities which is a common problem to finite element based approaches is eliminated. The computational task is .
