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@article\{haidacher-2011-VAM,
title = "Volume Analysis Using Multimodal Surface Similarity",
author = "Martin Haidacher and Stefan Bruckner and Meister Eduard
Gr{\"o}ller",
year = "2011",
abstract = "The combination of volume data acquired by multiple
modalities has been recognized as an important but
challenging task. Modalities often differ in the structures
they can delineate and their joint information can be used
to extend the classification space. However, they frequently
exhibit differing types of artifacts which makes the process
of exploiting the additional information non-trivial. In
this paper, we present a framework based on an
information-theoretic measure of isosurface similarity
between different modalities to overcome these problems. The
resulting similarity space provides a concise overview of
the differences between the two modalities, and also serves
as the basis for an improved selection of features.
Multimodal classification is expressed in terms of
similarities and dissimilarities between the isosurfaces of
individual modalities, instead of data value combinations.
We demonstrate that our approach can be used to robustly
extract features in applications such as dual energy
computed tomography of parts in industrial manufacturing.",
pages = "1969--1978",
month = oct,
number = "12",
event = "IEEE Visualization 2011",
journal = "IEEE Transactions on Visualization and Computer Graphics",
volume = "17",
location = "Providence, Rhode Island, USA",
keywords = "surface similarity, volume visualization, multimodal data",
URL = "http://www.cg.tuwien.ac.at/research/publications/2011/haidacher-2011-VAM/",
}
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