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Feature Emphasis and Contextual Cutaways for Multimodal Medical Visualization

Michael Burns, Martin Haidacher, Wolfgang Wein, Ivan Viola, Eduard Gröller

INPROCEEDINGS, Proceedings of Eurographics / IEEE VGTC Symposium on Visualization (EuroVis 2007), may, 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.

Published

Proceedings of Eurographics / IEEE VGTC Symposium on Visualization (EuroVis 2007)

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BibTeX

@InProceedings {Burns2007,
  author = "Michael Burns and Martin Haidacher and Wolfgang Wein and Ivan
    Viola and Eduard Gr{\"o}ller",
  title = "Feature Emphasis and Contextual Cutaways for Multimodal Medical
    Visualization",
  booktitle = "Proceedings of Eurographics / IEEE VGTC Symposium on Visualization (EuroVis 2007)",
  year = "2007",
  month = may,
  pages = "275--282"
  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.",
  location = {Norrk{\"o}ping, Sweden}, 
  event = {EuroVis 2007}, 
  url = {http://www.cs.princeton.edu/gfx/pubs/Burns_2007_FEA/},

}






 Last Modified: Jean-Paul Balabanian, 2013-05-29