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Contextual Picking of Volumetric Structures

P. Kohlmann, S. Bruckner, A. Kanitsar, and M. E. Gröller

Abstract

This paper presents a novel method for the interactive identification of contextual interest points within volumetric data by picking on a direct volume rendered image. In clinical diagnostics the points of interest are often located in the center of anatomical structures. In order to derive the volumetric position which allows a convenient examination of the intended structure, the system automatically extracts contextual meta information from the DICOM (Digital Imaging and Communications in Medicine) images and the setup of the medical workstation. Along a viewing ray for a volumetric picking, the ray profile is analyzed for structures which are similar to predefined templates from a knowledge base. We demonstrate with our results that the obtained position in 3D can be utilized to highlight a structure in 2D slice views, to interactively calculate centerlines of tubular objects, or to place labels at contextually-defined volumetric positions.

P. Kohlmann, S. Bruckner, A. Kanitsar, and M. E. Gröller, "Contextual Picking of Volumetric Structures," in Proceedings of the IEEE Pacific Visualization 2009, 2009, p. 185–192. doi:10.1109/PACIFICVIS.2009.4906855
[BibTeX]

This paper presents a novel method for the interactive identification of contextual interest points within volumetric data by picking on a direct volume rendered image. In clinical diagnostics the points of interest are often located in the center of anatomical structures. In order to derive the volumetric position which allows a convenient examination of the intended structure, the system automatically extracts contextual meta information from the DICOM (Digital Imaging and Communications in Medicine) images and the setup of the medical workstation. Along a viewing ray for a volumetric picking, the ray profile is analyzed for structures which are similar to predefined templates from a knowledge base. We demonstrate with our results that the obtained position in 3D can be utilized to highlight a structure in 2D slice views, to interactively calculate centerlines of tubular objects, or to place labels at contextually-defined volumetric positions.
@INPROCEEDINGS {Kohlmann-2009-CPV,
author = "Peter Kohlmann and Stefan Bruckner and Armin Kanitsar and Meister Eduard Gr{\"o}ller",
title = "Contextual Picking of Volumetric Structures",
booktitle = "Proceedings of the IEEE Pacific Visualization 2009",
year = "2009",
editor = "Peter Eades, Thomas Ertl, Han-Wei Shen",
pages = "185--192",
month = "may",
abstract = "This paper presents a novel method for the interactive identification  of contextual interest points within volumetric data by picking on  a direct volume rendered image. In clinical diagnostics the points  of interest are often located in the center of anatomical structures.  In order to derive the volumetric position which allows a convenient  examination of the intended structure, the system automatically extracts  contextual meta information from the DICOM (Digital Imaging and Communications  in Medicine) images and the setup of the medical workstation. Along  a viewing ray for a volumetric picking, the ray profile is analyzed  for structures which are similar to predefined templates from a knowledge  base. We demonstrate with our results that the obtained position  in 3D can be utilized to highlight a structure in 2D slice views,  to interactively calculate centerlines of tubular objects, or to  place labels at contextually-defined volumetric positions.",
pdf = "pdfs/Kohlmann-2009-CPV.pdf",
images = "images/Kohlmann-2009-CPV.jpg",
thumbnails = "images/Kohlmann-2009-CPV.png",
youtube = "https://www.youtube.com/watch?v=SgyGwePAE7o",
affiliation = "tuwien",
doi = "10.1109/PACIFICVIS.2009.4906855",
isbn = "978-1-4244-4404-5",
keywords = "picking, interaction, selection, volume visualization",
location = "Peking, China",
url = "//www.cg.tuwien.ac.at/research/publications/2009/kohlmann-2009-cp/"
}
projectidprojectid

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