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

Lookup NU author(s): Dr Kheng-Lim Goh

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Abstract

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.


Publication metadata

Author(s): Cheong VS, Poh CL, Yew KSA, Lie DTT, Seah K, Goh KL

Publication type: Article

Publication status: Published

Journal: Journal of Medical Imaging and Health Informatics

Year: 2012

Volume: 2

Issue: 4

Pages: 378-385

Print publication date: 01/12/2012

ISSN (print): 2156-7018

ISSN (electronic): 2156-7026

Publisher: American Scientific Publishers

URL: http://dx.doi.org/10.1166/jmihi.2012.1114

DOI: 10.1166/jmihi.2012.1114


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