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ViviSection: Skeleton-based Volume Editing

A. Karimov, G. Mistelbauer, J. Schmidt, P. Mindek, E. Schmidt, T. Sharipov, S. Bruckner, and M. E. Gröller

Abstract

Volume segmentation is important in many applications, particularly in the medical domain. Most segmentation techniques, however, work fully automatically only in very restricted scenarios and cumbersome manual editing of the results is a common task. In this paper, we introduce a novel approach for the editing of segmentation results. Our method exploits structural features of the segmented object to enable intuitive and robust correction and verification. We demonstrate that our new approach can significantly increase the segmentation quality even in difficult cases such as in the presence of severe pathologies.

A. Karimov, G. Mistelbauer, J. Schmidt, P. Mindek, E. Schmidt, T. Sharipov, S. Bruckner, and M. E. Gröller, "ViviSection: Skeleton-based Volume Editing," Computer Graphics Forum, vol. 32, iss. 3, p. 461–470, 2013. doi:10.1111/cgf.12133
[BibTeX]

Volume segmentation is important in many applications, particularly in the medical domain. Most segmentation techniques, however, work fully automatically only in very restricted scenarios and cumbersome manual editing of the results is a common task. In this paper, we introduce a novel approach for the editing of segmentation results. Our method exploits structural features of the segmented object to enable intuitive and robust correction and verification. We demonstrate that our new approach can significantly increase the segmentation quality even in difficult cases such as in the presence of severe pathologies.
@ARTICLE {Karimov-2013-VSV,
author = "Alexey Karimov and Gabriel Mistelbauer and Johanna Schmidt and Peter Mindek and Elisabeth Schmidt and Timur Sharipov and Stefan Bruckner and Meister Eduard Gr{\"o}ller",
title = "ViviSection: Skeleton-based Volume Editing",
journal = "Computer Graphics Forum",
year = "2013",
volume = "32",
number = "3",
pages = "461--470",
month = "jun",
abstract = "Volume segmentation is important in many applications, particularly  in the medical domain. Most segmentation techniques, however, work  fully automatically only in very restricted scenarios and cumbersome  manual editing of the results is a common task. In this paper, we  introduce a novel approach for the editing of segmentation results.  Our method exploits structural features of the segmented object to  enable intuitive and robust correction and verification. We demonstrate  that our new approach can significantly increase the segmentation  quality even in difficult cases such as in the presence of severe  pathologies.",
pdf = "pdfs/Karimov-2013-VSV.pdf",
images = "images/Karimov-2013-VSV.jpg",
thumbnails = "images/Karimov-2013-VSV.png",
youtube = "https://www.youtube.com/watch?v=4s12ZbUyHiY",
doi = "10.1111/cgf.12133",
event = "EuroVis 2013",
keywords = "volume visualization, volume editing, segmentation, interaction",
location = "Leipzig, Germany",
url = "//www.cg.tuwien.ac.at/research/publications/2013/karimov-2013-vivisection/"
}
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