Open AccessA Patient-specific Knee Joint Computer Model Using MRI Data and 'in vivo' Compressive Load from the Optical Force Measuring System
Author(s) -
Božidar Potočnik,
Damjan Zazula,
Boris Cigale,
D. Heric,
Edvard Cibula,
Tomaz Tomazic
Publication year - 2008
Publication title -
journal of computing and information technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.169
H-Index - 27
eISSN - 1846-3908
pISSN - 1330-1136
DOI - 10.2498/cit.1001126
Subject(s) - kinematics , computer science , knee joint , rotation (mathematics) , euler angles , translation (biology) , finite element method , process (computing) , mean squared error , tibia , simulation , biomedical engineering , algorithm , artificial intelligence , structural engineering , mathematics , anatomy , physics , surgery , statistics , geometry , medicine , biochemistry , chemistry , classical mechanics , messenger rna , engineering , gene , operating system
Modelling of patient knee joint from the MRI data and simulating its kinematics is presented. A flexion of the femur with respect to the tibia from $\\rm{0^o}$ to around $\\rm{40^o}$ is simulated. The finite element knee model is driven by compressive load measured \\u27in vivo\\u27 during MRI process by using specially developed optical force measurement system. Predicted kinematics isevaluated against the high-quality model obtained by registration from experimentally gathered low-quality MRI at fixed flexions.Validation pointed out that the mean square error (MSE) for the Euler rotation angles are bellow $\\rm{1.73^o}$, while the MSE forEuler translation is smaller than 5.93 mm
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