Image interpolation allows accurate quantitative bone morphometry in registered micro-computed tomography scans
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Ralph Müller | Martin Stauber | Friederike A. Schulte | Floor M. Lambers | Thomas L. Mueller | R. Müller | M. Stauber | T. L. Mueller | F. Lambers | F. Schulte
[1] Max A. Viergever,et al. Quantitative Comparison of Sinc-Approximating Kernels for Medical Image Interpolation , 1999, MICCAI.
[2] Ralph Müller,et al. Guidelines for assessment of bone microstructure in rodents using micro–computed tomography , 2010, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.
[3] M. Unser,et al. Interpolation revisited [medical images application] , 2000, IEEE Transactions on Medical Imaging.
[4] M. Jergas,et al. Accurate assessment of precision errors: How to measure the reproducibility of bone densitometry techniques , 2005, Osteoporosis International.
[5] Michael Unser,et al. A pyramid approach to subpixel registration based on intensity , 1998, IEEE Trans. Image Process..
[6] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[7] Gary G. Koch,et al. Intraclass Correlation Coefficient , 2011, International Encyclopedia of Statistical Science.
[8] Thomas M. Link,et al. Three-dimensional image registration of MR proximal femur images for the analysis of trabecular bone parameters. , 2008 .
[9] P. Rüegsegger,et al. Direct Three‐Dimensional Morphometric Analysis of Human Cancellous Bone: Microstructural Data from Spine, Femur, Iliac Crest, and Calcaneus , 1999, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.
[10] TOR Hildebrand,et al. Quantification of Bone Microarchitecture with the Structure Model Index. , 1997, Computer methods in biomechanics and biomedical engineering.
[11] Ralph Müller,et al. Mouse tail vertebrae adapt to cyclic mechanical loading by increasing bone formation rate and decreasing bone resorption rate as shown by time-lapsed in vivo imaging of dynamic bone morphometry. , 2011, Bone.
[12] D L Hill,et al. Automated three-dimensional registration of magnetic resonance and positron emission tomography brain images by multiresolution optimization of voxel similarity measures. , 1997, Medical physics.
[13] Ralph Müller,et al. Monitoring individual morphological changes over time in ovariectomized rats by in vivo micro-computed tomography. , 2006, Bone.
[14] Steven K Boyd,et al. Improved reproducibility of high-resolution peripheral quantitative computed tomography for measurement of bone quality. , 2008, Medical engineering & physics.
[15] Ralph Müller,et al. Automated compartmental analysis for high-throughput skeletal phenotyping in femora of genetic mouse models. , 2007, Bone.
[16] Ralph Müller,et al. Evaluation of Three-dimensional Image Registration Methodologies for In Vivo Micro-computed Tomography , 2006, Annals of Biomedical Engineering.
[17] P. Rüegsegger,et al. A new method for the model‐independent assessment of thickness in three‐dimensional images , 1997 .
[18] R. Huiskes,et al. Effects of PTH treatment on tibial bone of ovariectomized rats assessed by in vivo micro-CT , 2009, Osteoporosis International.
[19] Steven K Boyd,et al. Reproducibility of bone micro-architecture measurements in rodents by in vivo micro-computed tomography is maximized with three-dimensional image registration. , 2010, Bone.
[20] H J Gundersen,et al. Estimation of structural anisotropy based on volume orientation. A new concept , 1990, Journal of microscopy.
[21] M. Unser,et al. Interpolation Revisited , 2000, IEEE Trans. Medical Imaging.
[22] Andres Laib,et al. Noninvasive monitoring of changes in structural cancellous bone parameters with a novel prototype micro-CT , 2009, Journal of Bone and Mineral Metabolism.
[24] G. H. van Lenthe,et al. Non-invasive bone competence analysis by high-resolution pQCT: an in vitro reproducibility study on structural and mechanical properties at the human radius. , 2009, Bone.
[25] Paul Suetens,et al. Comparative evaluation of multiresolution optimization strategies for multimodality image registration by maximization of mutual information , 1999, Medical Image Anal..
[26] Ralph Müller,et al. In vivo micro-computed tomography allows direct three-dimensional quantification of both bone formation and bone resorption parameters using time-lapsed imaging. , 2011, Bone.
[27] H Weinans,et al. Detecting and tracking local changes in the tibiae of individual rats: a novel method to analyse longitudinal in vivo micro-CT data. , 2004, Bone.
[28] A Odgaard,et al. Three-dimensional methods for quantification of cancellous bone architecture. , 1997, Bone.
[29] R. Müller,et al. Compartmental Bone Morphometry in the Mouse Femur: Reproducibility and Resolution Dependence of Microtomographic Measurements , 2005, Calcified Tissue International.