@misc{damm_improved_accuracy_2019, 
author={Damm, T., Pena, J., Campbell, G., Bastgen, J., Barkmann, R., Glüer, C.},
title={Improved accuracy in the assessment of vertebral cortical thickness by quantitative computed tomography using the Iterative Convolution OptimizatioN (ICON) method},
year={2019},
howpublished = {journal article},
doi = {https://doi.org/10.1016/j.bone.2018.08.024},
abstract = {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.},
note = {Online available at: \url{https://doi.org/10.1016/j.bone.2018.08.024} (DOI). Damm, T.; Pena, J.; Campbell, G.; Bastgen, J.; Barkmann, R.; Glüer, C.: Improved accuracy in the assessment of vertebral cortical thickness by quantitative computed tomography using the Iterative Convolution OptimizatioN (ICON) method. Bone. 2019. vol. 120, 194-203. DOI: 10.1016/j.bone.2018.08.024}}