Feature Emphasis and Contextual Cutaways for Multimodal Medical Visualization

Michael Burns, Martin Haidacher, Wolfgang Wein, Ivan Viola, Meister Eduard Gröller
Feature Emphasis and Contextual Cutaways for Multimodal Medical Visualization
In Proceedings of Eurographics / IEEE VGTC Symposium on Visualization (EuroVis 2007), pages 275-282. May 2007.
[paper]

Information

Abstract

Dense clinical data like 3D Computed Tomography (CT) scans can be visualized together with real-time imaging for a number of medical intervention applications. However, it is difficult to provide a fused visualization that allows sufficient spatial perception of the anatomy of interest, as derived from the rich pre-operative scan, while not occluding the real-time image displayed embedded within the volume. We propose an importance-driven approach that presents the embedded data such that it is clearly visible along with its spatial relation to the surrounding volumetric material. To support this, we present and integrate novel techniques for importance specification, feature emphasis, and contextual cutaway generation. We show results in a clinical context where a pre-operative CT scan is visualized alongside a tracked ultrasound image, such that the important vasculature is depicted between the viewpoint and the ultrasound image, while a more opaque representation of the anatomy is exposed in the surrounding area.

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BibTeX

@inproceedings{burns-2007-fea,
  title =      "Feature Emphasis and Contextual Cutaways for Multimodal
               Medical Visualization",
  author =     "Michael Burns and Martin Haidacher and Wolfgang Wein and
               Ivan Viola and Meister Eduard Gr{"o}ller",
  year =       "2007",
  abstract =   "Dense clinical data like 3D Computed Tomography (CT) scans
               can be visualized together with real-time imaging for a
               number of medical intervention applications. However, it is
               difficult to provide a fused visualization that allows
               sufficient spatial perception of the anatomy of interest, as
               derived from the rich pre-operative scan, while not
               occluding the real-time image displayed embedded within the
               volume. We propose an importance-driven approach that
               presents the embedded data such that it is clearly visible
               along with its spatial relation to the surrounding
               volumetric material. To support this, we present and
               integrate novel techniques for importance specification,
               feature emphasis, and contextual cutaway generation. We show
               results in a clinical context where a pre-operative CT scan
               is visualized alongside a tracked ultrasound image, such
               that the important vasculature is depicted between the
               viewpoint and the ultrasound image, while a more opaque
               representation of the anatomy is exposed in the surrounding
               area.",
  month =      may,
  booktitle =  "Proceedings of Eurographics / IEEE VGTC Symposium on
               Visualization (EuroVis 2007)",
  editor =     "K. Museth, T. M{"o}ller, A. Ynnerman",
  isbn =       "9783905673456",
  location =   "Nork{"o}pping, Schweden",
  publisher =  "IEEE",
  pages =      "275--282",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2007/burns-2007-fea/",
}