In Proceedings of International Conference on Industrial Computed Tomography (ICT) 2019

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, and Meister Eduard Groeller

Left: Our novel segmentation tool performing a porosity analysis on an aluminum cast part with multiple linked views: 2D slices, Direct Volume Rendering, and interactive parallel coordinates. Right: CT data set rendered at real-time frame rates using Direct Volume Rendering.

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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Citation

Harald Steinlechner, Georg Haaser, Bernd Oberdorfer, Daniel Habe, Stefan Maierhofer, Michael Schwärzler, and Meister Eduard Groeller, A Novel Approach for Immediate, Interactive CT Data Visualization and Evaluation using GPU-based Segmentation and Visual Analysis, In Proceedings of International Conference on Industrial Computed Tomography (ICT) 2019, 2019.

BibTex

@inproceedings{bib:steinlechner:2019,
    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    = { In Proceedings of International Conference on Industrial Computed Tomography (ICT) 2019 },
    editors      = { Simone Carmignato },
    year         = { 2019 },
    url          = { https://publications.graphics.tudelft.nl/papers/347 },
}