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Three-Dimensional Analysis of High-Resolution X-Ray Computed Tomography Data with Morpho+

  • Loes Brabant (a1), Jelle Vlassenbroeck (a2), Yoni De Witte (a1), Veerle Cnudde (a3), Matthieu N. Boone (a1), Jan Dewanckele (a3) and Luc Van Hoorebeke (a1)...

Three-dimensional (3D) analysis is an essential tool to obtain quantitative results from 3D datasets. Considerable progress has been made in 3D imaging techniques, resulting in a growing need for more flexible, complete analysis packages containing advanced algorithms. At the Centre for X-ray Tomography of the Ghent University (UGCT), research is being done on the improvement of both hardware and software for high-resolution X-ray computed tomography (CT). UGCT collaborates with research groups from different disciplines, each having specific needs. To meet these requirements the analysis software package, Morpho+, was developed in-house. Morpho+ contains an extensive set of high-performance 3D operations to obtain object segmentation, separation, and parameterization (orientation, maximum opening, equivalent diameter, sphericity, connectivity, etc.), or to extract a 3D geometrical representation (surface mesh or skeleton) for further modeling. These algorithms have a relatively short processing time when analyzing large datasets. Additionally, Morpho+ is equipped with an interactive and intuitive user interface in which the results are visualized. The package allows scientists from various fields to obtain the necessary quantitative results when applying high-resolution X-ray CT as a research tool to the nondestructive investigation of the microstructure of materials.

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A. Foubert & J.P. Henriet (2009). Imaging. In Nature and Significance of the Recent Carbonate Mound Record: The Mound Challenger Code, pp. 4575. Berlin, Heidelberg: Springer-Verlag.

W.B. Lindquist (2002). Quantitative analysis of three dimensional X-ray tomographic images. In Proceedings of SPIE on Developments in X-Ray Tomography III, U. Bonse (Ed.), pp. 103115. Washington, DC: Society of Photo-Optical Instrumentation Engineers.

P. Soille (1999). Morphological Image Analysis. Berlin, Heidelberg, New York: Springer-Verlag.

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Microscopy and Microanalysis
  • ISSN: 1431-9276
  • EISSN: 1435-8115
  • URL: /core/journals/microscopy-and-microanalysis
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