Image-based Bone Analysis
The Max Planck Institute of Colloids and Interfaces, Potsdam-Golm, applies various experimental techniques to characterize the micro- and nano-structure of materials such as bone tissue. One specific goal is to understand the temporal and spatial evolution within the healing callus in different animal models to improve the understanding of spatial and temporal characteristics of regenerated bone. 2D imaging techniques (x-ray scattering and fluorescence, ESEM/BSE, histology) and 3D imaging techniques (x-ray computed tomography) have so far been applied separately. Integrating the information acquired by the various imaging techniques into a common reference frame might help improve the understanding of the spatial organization of the bone tissue. The goal of this project is to develop a registration tool to easily integrate 2D images into a 3D image.
Publications
2015 |
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Rebecca M. Hoerth, Daniel Baum, David Knötel, Steffen Prohaska, Bettina M. Willie, Georg N. Duda, Hans-Christian Hege, Peter Fratzl, Wolfgang Wagermaier | Registering 2D and 3D Imaging Data of Bone during Healing | Connective Tissue Research, 56(2), pp. 133-143, 2015 (preprint available as ZIB-Report 15-01) |
PDF (ZIB-Report)
BibTeX DOI |
2012 |
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Alexander Surma | Automatisierte Registrierung von 2D-Daten in 3-dimensionalen Volumen mit Hilfe von ZIBAmira | Bachelor's thesis, Freie Universität Berlin, Daniel Baum, Ingrid Hotz (Advisors), 2012 |
BibTeX
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