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Smart Super Views - A Knowledge-Assisted Interface for Medical Visualization

G. Mistelbauer, H. Bouzari, R. Schernthaner, I. Baclija, A. Köchl, S. Bruckner, M. Srámek, and M. E. Gröller

Abstract

Due to the ever growing volume of acquired data and information, users have to be constantly aware of the methods for their exploration and for interaction. Of these, not each might be applicable to the data at hand or might reveal the desired result. Owing to this, innovations may be used inappropriately and users may become skeptical. In this paper we propose a knowledge-assisted interface for medical visualization, which reduces the necessary effort to use new visualization methods, by providing only the most relevant ones in a smart way. Consequently, we are able to expand such a system with innovations without the users to worry about when, where, and especially how they may or should use them. We present an application of our system in the medical domain and give qualitative feedback from domain experts.

G. Mistelbauer, H. Bouzari, R. Schernthaner, I. Baclija, A. Köchl, S. Bruckner, M. Srámek, and M. E. Gröller, "Smart Super Views - A Knowledge-Assisted Interface for Medical Visualization," in Proceedings of IEEE VAST 2012, 2012, p. 163–172. doi:10.1109/VAST.2012.6400555
[BibTeX]

Due to the ever growing volume of acquired data and information, users have to be constantly aware of the methods for their exploration and for interaction. Of these, not each might be applicable to the data at hand or might reveal the desired result. Owing to this, innovations may be used inappropriately and users may become skeptical. In this paper we propose a knowledge-assisted interface for medical visualization, which reduces the necessary effort to use new visualization methods, by providing only the most relevant ones in a smart way. Consequently, we are able to expand such a system with innovations without the users to worry about when, where, and especially how they may or should use them. We present an application of our system in the medical domain and give qualitative feedback from domain experts.
@INPROCEEDINGS {Mistelbauer-2012-SSV,
author = "Gabriel Mistelbauer and Hamed Bouzari and R{\"u}diger Schernthaner and Ivan Baclija and Arnold K{\"o}chl and Stefan Bruckner and Milos Sr{\'a}mek and Meister Eduard Gr{\"o}ller",
title = "Smart Super Views - A Knowledge-Assisted Interface for Medical Visualization",
booktitle = "Proceedings of IEEE VAST 2012",
year = "2012",
pages = "163--172",
month = "oct",
publisher = "IEEE Computer Society",
abstract = "Due to the ever growing volume of acquired data and information, users  have to be constantly aware of the methods for their exploration  and for interaction. Of these, not each might be applicable to the  data at hand or might reveal the desired result. Owing to this, innovations  may be used inappropriately and users may become skeptical. In this  paper we propose a knowledge-assisted interface for medical visualization,  which reduces the necessary effort to use new visualization methods,  by providing only the most relevant ones in a smart way. Consequently,  we are able to expand such a system with innovations without the  users to worry about when, where, and especially how they may or  should use them. We present an application of our system in the medical  domain and give qualitative feedback from domain experts.",
pdf = "pdfs/Mistelbauer-2012-SSV.pdf",
images = "images/Mistelbauer-2012-SSV.jpg",
thumbnails = "images/Mistelbauer-2012-SSV.png",
youtube = "https://www.youtube.com/watch?v=cZREOedW7c4",
affiliation = "tuwien",
doi = "10.1109/VAST.2012.6400555",
keywords = "knowledge-based visualization, medical visualization, integrated views",
location = "Seattle, WA, USA",
url = "//www.cg.tuwien.ac.at/research/publications/2012/mistelbauer-2012-ssv/"
}
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