%0 journal article
%@ 8756-3282
%A Damm, T., Pena, J., Campbell, G., Bastgen, J., Barkmann, R., Glüer, C.

%D 2019
%J Bone

%P 194-203 
%R doi:10.1016/j.bone.2018.08.024
%T Improved accuracy in the assessment of vertebral cortical thickness by quantitative computed tomography using the Iterative Convolution OptimizatioN (ICON) method
%U https://doi.org/10.1016/j.bone.2018.08.024
 
%X Due to inaccurate segmentation uncorrected QCT-based Ct.Th measures as well as BMD and BMC showed no correlation to HR-pQCT and thus such bias cortical data can be misleading. The application of ICON reduced random overestimation bias to about 50 μm and 20 μm for QCT and HR-QCT, respectively, leading to a recovery of a significant correlation with the reference data of HR-pQCT. This reveals the potential for fairly accurate assessment of cortical thickness, allowing to better characterize cortical mechanical competence. These results warrant testing of the performance in vivo.