Talks and Poster Presentations (with Proceedings-Entry):

H. Steinlechner, G. Haaser, B. Oberdorfer, D. Habe, S. Maierhofer, M. Schwärzler, E. Gröller:
"A Novel Approach for Immediate, Interactive CT Data Visualization andEvaluation using GPU-based Segmentation and Visual Analysis";
Talk: Nondestructive Testing, Padua; 2019-02-13 - 2019-02-15; in: "9th Conference on Industrial Computed Tomography (iCT) 2019", Nondestructive Testing, (2019), ISSN: 1435-4934; 6 pages.

English abstract:
CT data of industrially produced cast metal parts are often afflicted with artefacts due to complex geometries ill-suited for the scanning process. Simple global threshold-based porosity detection algorithms usually fail to deliver meaningful results. Other adaptive methods can handle image artefacts, but require long preprocessing times. This makes an efficient analysis workflow infeasible. We propose an alternative approach for analyzing and visualizing volume defects in a fully interactive manner, where analyzing volumes becomes more of an interactive exploration instead of time-consuming parameter guessing interrupted by long processing times. Our system is based on a highly efficient GPU implementation of a segmentation algorithm for porosity detection. The runtime is on the order of seconds for a full volume and parametrization is kept simple due to a single threshold parameter. A fully interactive user interface comprised of multiple linked views allows to quickly identify defects of interest, while filtering out artefacts even in noisy areas.

CT, GPU, Inclusion Detection, Interactive Visualisation, VisualAnalysis, Parallel Coordinates, Volume Rendering

Electronic version of the publication:

Created from the Publication Database of the Vienna University of Technology.