Microscopy and Microanalysis

Material Applications

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

Loes Brabanta1 c1, Jelle Vlassenbroecka2, Yoni De Wittea1, Veerle Cnuddea3, Matthieu N. Boonea1, Jan Dewanckelea3 and Luc Van Hoorebekea1

a1 Department of Physics and Astronomy, Ghent University, Proeftuinstraat 86, B-9000 Ghent, Belgium

a2 inCT, IIC UGent, Technologiepark 3, B-9052 Ghent, Belgium

a3 Department of Geology and Soil Science, Ghent University, Krijgslaan 281/S8, B-9000 Ghent, Belgium


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.

(Received July 01 2010)

(Accepted November 09 2010)

(Online publication January 31 2011)


c1 Corresponding author. E-mail: Loes.Brabant@UGent.be