| Literature DB >> 20685323 |
Chamith S Rajapakse1, Jeremy F Magland, Michael J Wald, X Sherry Liu, X Henry Zhang, X Edward Guo, Felix W Wehrli.
Abstract
The mechanical properties of bone estimated by micro-finite element (microFE) analysis on the basis of in vivo micro-MR images (microMRIs) 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 microFE-derived mechanical parameters obtained from microMRIs at 160 microm isotropic voxel size now achievable in vivo with those derived from 25 microm isotropic (reference) microCT images of 30 cadaveric tibiae from 15 donors (4 females and 11 males, aged 55-84 years). Elastic and shear moduli estimated from 5mm(3) subvolumes of trabecular bone (TB) derived from microMRIs were significantly correlated with those derived from volume-matched reference microCT images (R(2)=0.60-0.67). Axial stiffness of whole-bone sections (including both cortical and trabecular compartments) derived from microMR-based models were highly correlated (R(2)=0.85) with those from high-resolution reference images. Further, microFE models generated from microCT images after downsampling to lower resolutions relevant to in vivo microMRI (100-160 microm) showed mechanical parameters to be strongly correlated (R(2)>0.93) with those derived at reference resolution (25 microm). Incorporation of grayscale image information into the microMR-based microFE model yielded slopes closer to unity than binarized models (1.07+/-0.15 vs. 0.71+/-0.11) when correlated with reference subregional elastic and shear moduli. This work suggests that elastic properties of distal tibia can be reliably estimated by microFE analysis from microMRIs obtainable at in vivo resolution. Copyright 2010 Elsevier Inc. All rights reserved.Entities:
Mesh:
Year: 2010 PMID: 20685323 PMCID: PMC2926228 DOI: 10.1016/j.bone.2010.05.039
Source DB: PubMed Journal: Bone ISSN: 1873-2763 Impact factor: 4.398