Abstract
This study aims to predict the fracture of bone with osteogenesis imperfecta (OI) by considering the homogenization properties of real patient. A Type-III of osteotomy in OI femur was used as bone specimen. Nine representative volume element (RVE) models were developed based on μCT-images of bone specimen. Homogenized properties particularly the Young’s moduli of the RVEs was obtained based on homogenization theory in Voxelcon software. The obtained homogenized properties were then assigned to the OI patient-specific model that was developed from CT-images of real patient. The fracture of OI bone was predicted based on linear static analysis and finite element method under loadings of activity daily living (ADL). The results found that the fracture might be happen to the patient under jumping load case, whereas the subject is expected to be safe under standing still and walking load case.
Highlights
This study aims to predict the fracture of bone with osteogenesis imperfecta (OI) by considering the homogenization properties of real patient
Nine representative volume element (RVE) models were developed based on μCT-images of bone specimen
The obtained homogenized properties were assigned to the OI patient-specific model that was developed from CTimages of real patient
Summary
IOP Conference Series: Materials Science and Engineering Volume 670, Issue 1, 2 December 2019, Article number 012073 6th International Conference on Applications and Design in Mechanical Engineering 2019, ICADME 2019; Penang Island; Malaysia; August 2019 through August 2019; Code 156586. C.J.a, Basaruddin, K.S.a, Som, M.H.M.a, Majid, M.S.A.a, Sulaiman, A.R.b, Shukrimi, A.c aSchool of Mechatronic Engineering, Universiti Malaysia Perlis (UniMAP), Pauh Putra Campus, Perlis, Arau, 02600, Malaysia bDepartment of Orthopaedics, School of Medical Science, Universiti Sains Malaysia, Kubang Kerian, Kelantan, 16150, Malaysia cDepartment of Orthopaedics, Kulliyyah of Medicine, International Islamic University Malaysia, Pahang, Kuantan, 25710, Malaysia
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