title: A novel specimen-specific methodology to optimise the alignment of long bones for experimental testing.
abstract: The choice of coordinate system and alignment of bone will affect the quantification of mechanical properties obtained during in-vitro biomechanical testing. Where these are used in predictive models, such as finite element analysis, the fidelic description of these properties is paramount. Currently in bending and torsional tests, bones are aligned on a pre-defined fixed span based on the reference system marked out. However, large inter-specimen differences have been reported. This suggests a need for the development of a specimen-specific alignment system for use in experimental work. Eleven ovine tibiae were used in this study and three-dimensional surface meshes were constructed from micro-Computed Tomography scan images. A novel, semi-automated algorithm was developed and applied to the surface meshes to align the whole bone based on its calculated principal directions. Thereafter, the code isolates the optimised location and length of each bone for experimental testing. This resulted in a lowering of the second moment of area about the chosen bending axis in the central region. More importantly, the optimisation method decreases the irregularity of the shape of the cross-sectional slices as the unbiased estimate of the population coefficient of variation of the second moment of area decreased from a range of (0.210-0.435) to (0.145-0.317) in the longitudinal direction, indicating a minimisation of the product moment, which causes eccentric loading. Thus, this methodology serves as an important pre-step to align the bone for mechanical tests or simulation work, is optimised for each specimen, ensures repeatability, and is general enough to be applied to any long bone.
authors.affiliation: Department of Bioengineering, Imperial College London, London, United Kingdom.
authors.forename: Vee San
authors.initials: VS
authors.lastname: Cheong
authors.affiliation: Department of Bioengineering, Imperial College London, London, United Kingdom. Electronic address: a.bull@imperial.ac.uk.
authors.forename: Anthony M J
authors.initials: AM
authors.lastname: Bull
mesh_terms: D000465:Algorithms; D000818:Animals; D001696:Biomechanical Phenomena; D020342:Finite Element Analysis; D008954:Models, Biological; D012016:Reference Values; D012756:Sheep; D034561:Sheep, Domestic; D013977:Tibia / Q000000981:diagnostic imaging / Q000502:physiology*; D055114:X-Ray Microtomography
keywords: Alignment; Anatomical reference frame; Bone; Geometrical properties; Mechanical testing