Magnetic resonance imaging of the human anterior cruciate ligament: Three-dimensional computer reconstruction and structural analysis

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  2. Dr Kheng-Lim Goh
Author(s)Cheong VS, Poh CL, Yew KSA, Lie DTT, Seah K, Goh KL
Publication type Article
JournalJournal of Medical Imaging and Health Informatics
Year2012
Volume2
Issue4
Pages378-385
ISSN (print)2156-7018
ISSN (electronic)2156-7026
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Data from in vivo magnetic resonance (MR) imaging of the human anterior cruciate ligament (ACL) was used to generate three-dimensional computer models for structural analysis. Step one of the solid modelling method involves the identification of the femoral and tibial attachment sites at the anteromedial (AM) and posterolateral (PL) bundles from MR images. Step two involves profiling the skeletal framework of the (AM) and posterolateral (PL)AM and PL bundles. Step three executes the generation of twentry (trial) solid models, for different anatomical attachments, from the skeletal framework;. tThereafter, these models were assessed for the ones which best fit the ACL in the MR image. Using the finite element (FE) method, the final model is was meshed and solved for the stress uptake when the ACL is loadedunder pre-stress conditions. The solid modelling method was applied to generate solid models of ACL’s from MR images of four extended knees from healthy subjects. The dimensions of the final models were analysed for consistency with results reported elsewhere. All models reveal a characteristic anatomical twist - (this has only been observed in the knee undergoing surgical operation). FE analysis reveals that the high stresses occur at the femoral attachment sites. In particular, in the sagittal view, stresses in the posterior part of the ACL are larger than that in the anterior part. The modelling approach provides a simple analysis of the structure-function properties of ACL, with important implications for model development for studying the response of the anatomical twist to physiological loads in, e.g., with applications in, diseases and ageing.
PublisherAmerican Scientific Publishers
URLhttp://dx.doi.org/10.1166/jmihi.2012.1114
DOI10.1166/jmihi.2012.1114
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