NDLI: Computational Biomechanics of the Distal Tibia from High-Resolution MR and Micro-CT Images

Content Provider	PubMed Central
Author	Rajapakse, Chamith S. Magland, Jeremy F. Wald, Michael J. Liu, X. Sherry Zhang, X. Henry Guo, X. Edward Wehrli, Felix W.
Copyright Year	2010
Abstract	The mechanical properties of bone estimated by micro-finite element (µFE) analysis on the basis of in-vivo micro-MR images (µMRI) of the distal extremities provide a new tool for direct assessment of the mechanical consequences of intervention. However, the accuracy of the method has not previously been investigated. Here, we compared µFE-derived mechanical parameters obtained from µMR images at 160 µm isotropic voxel size now achievable in vivo with those derived from 25 µm isotropic (reference) µCT images of thirty cadaveric tibiae from fifteen donors (4 females, 11 males, 55–84 yrs.). Elastic and shear moduli estimated from (5 mm)3 sub-volumes of trabecular bone (TB) derived from µMR images were significantly correlated with those derived from volume-matched reference µCT images (R2 = 0.60–0.67). Axial stiffness of whole-bone sections (including both cortical and trabecular compartments) derived from µMR-based models were highly correlated (R2 = 0.85) with those from high-resolution reference images. Further, µFE models generated from µCT images after downsampling to lower resolutions relevant to in-vivo µMRI (100–160 µm), showed mechanical parameters to be strongly correlated (R2 > 0.93) with those derived at reference resolution (25 µm). Incorporation of grayscale image information into the µMR-based µFE model yielded slopes closer to unity than binarized models (1.07±0.15 vs. 0.71±0.11) when correlated with reference sub-regional elastic and shear moduli. The work suggests that elastic properties of distal tibia can be reliably estimated by µFE analysis from µMR images obtainable at in-vivo resolution.
Related Links	http://dx.doi.org/10.1016/j.bone.2010.05.039
Ending Page	563
Page Count	8
Starting Page	556
File Format	PDF
ISSN	87563282
e-ISSN	18732763
Journal	Bone
Issue Number	3
Volume Number	47
Language	English
Publisher Date	2010-09-01
Access Restriction	Open
Subject Keyword	Physiology Endocrinology, Diabetes and Metabolism Histology Research in Higher Education
Content Type	Text
Resource Type	Article
Subject	Physiology Endocrinology, Diabetes and Metabolism Histology

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