A Novel Approach for Immediate, Interactive CT Data Visualization and Evaluation using GPU-based Segmentation and Visual Analysis

Harald Steinlechner, Georg Haaser, Bernd Oberdorfer, Daniel Habe, Stefan Maierhofer, Michael Schwärzler, Meister Eduard Groeller
International Conference on Industrial Computed Tomography (ICT) 2019 - feb 2019
Download the publication : PB-VRVis-2019-003.pdf [9.5Mo]  
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.

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BibTex references

@InProceedings { SHOHMSG19,
  author       = "Steinlechner, Harald and Haaser, Georg and Oberdorfer, Bernd and Habe, Daniel and Maierhofer, Stefan and Schwärzler, Michael and Groeller, Meister Eduard",
  title        = "A Novel Approach for Immediate, Interactive CT Data Visualization and Evaluation using GPU-based Segmentation                 and Visual Analysis",
  booktitle    = "International Conference on Industrial Computed Tomography (ICT) 2019",
  month        = "feb",
  year         = "2019",
  editor       = "Simone Carmignato",
  keywords     = "CT, GPU, Inclusion Detection, Interactive Visualisation, Visual Analysis, Parallel Coordinates, Volume Rendering",
  url          = "http://graphics.tudelft.nl/Publications-new/2019/SHOHMSG19"
}

Other publications in the database

» Harald Steinlechner
» Georg Haaser
» Michael Schwärzler
» Meister Eduard Groeller






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