TU Dresden RWTH Leibniz Institut

Subproject D03

Development of Advanced Tomography Data Analysis Techniques

In subproject D03 the focus is on the development of extended methods for tomography data analysis. The approach is to investigate the components of the specimens by segmenting them subvoxel-precisely and predict the distribution of the contained carbon fibers.

After the development of appropriate algorithms, the samples will be deformed by the application of force and then scanned again in the tomograph. The goal then is to determine the relationship between structure and stability. The multitemporal data sets produced in this process are matched using 3D-LSM (Least Squares Matching) in order to investigate not only the displacement vectors (caused by the temporal difference) but also the deformations and cracks with subvoxel accuracy. With the aim to further optimize the data quality and thus the data analysis, a sensor modeling and corresponding calibration strategies are developed, which largely eliminate the systematic errors of tomographs.

Entwicklung von erweiterten Methoden für die Tomographiedatenanalyse, SFB TRR280
Entwicklung von erweiterten Methoden für die Tomographiedatenanalyse


[Translate to English:] Hans-Gerd Maas
Subproject Manager
Hans-Gerd Maas
Prof. Dr. sc. techn. habil.
Technische Universität Dresden
Institute of Photogramme­try and Remote Sensing
D-01062 Dresden
[Translate to English:] Foto zeigt ein Portrait von Franz Wagner
Research Associate
Franz Wagner
Technische Universität Dresden
Institute of Photogramme­try and Remote Sensing
D-01062 Dresden

Publikationen / Publications

Liebold, F.; Lorenzoni, R.; Curosu, I.; Léonard, F.; Mechtcherine, V.; Paciornik, S.; Maas, H.-G. (2021) 3D Least Squares Matching Applied to Micro-Tomography Data in: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 43, issue B2, p. 533–539 – https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-533-2021

Liebold, F.; Maas, H.-G. (2022) 3D-Deformationsanalyse und Rissdetektion in multitemporalen Voxeldaten von Röntgentomographen in: Kersten, T.; Tilly, N. [eds.] Proc. der 42. Wissenschaftlich-Technischen Jahrestagung der DGPF, Band 30, 05./06.10.2022 in Dresden, p. 105–116 – https://doi.org/10.24407/KXP:1796026123