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@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.",
pages = "275--282",
month = 5,
booktitle = "Proceedings of Eurographics / IEEE VGTC Symposium on
Visualization (EuroVis 2007)",
editor = "K. Museth, T. M{\"o}ller, A. Ynnerman",
isbn = "9783905673456",
publisher = "IEEE",
location = "Nork{\"o}pping, Schweden",
URL = "http://www.cg.tuwien.ac.at/research/publications/2007/burns-2007-fea/",
}
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