Volume visualization in the clinical practice
Kainz B, Portugaller RH, Seider D, Moche M, Stiegler P, Schmalstieg D (2012)
Publication Type: Conference contribution
Publication year: 2012
Journal
Book Volume: 7264 LNCS
Pages Range: 74-84
Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Event location: CAN
ISBN: 9783642326295
DOI: 10.1007/978-3-642-32630-1_8
Abstract
Volumetric data is common in medicine, geology and engineering, but the O(n 3) complexity in data and algorithms has prevented the widespread use of volume graphics. Recently, 3D image processing and visualization algorithms have been parallelized and ported to graphics processing units. Today, medical diagnostics highly depends on volumetric imaging methods that must be visualized in real-time. However, daily clinical practice shows that physicians still prefer simple 2D multi-planar reconstructions over 3D visualizations for intervention planning. Therefore, a very basic question in this context is, if real-time 3D image synthesis is necessary at all. This paper makes four main observations in a clinical context, which are evaluated with 24 independent physicians from three different European hospitals. © 2012 Springer-Verlag.
Authors with CRIS profile
Involved external institutions
Technische Universität Graz
Austria (AT)
Medizinische Universität Graz
Austria (AT)
Universitätsklinikum Leipzig
Germany (DE)
Austria (AT)
Medizinische Universität Graz
Austria (AT)
Universitätsklinikum Leipzig
Germany (DE)
How to cite
APA:
Kainz, B., Portugaller, R.H., Seider, D., Moche, M., Stiegler, P., & Schmalstieg, D. (2012). Volume visualization in the clinical practice. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 74-84). CAN.
MLA:
Kainz, Bernhard, et al. "Volume visualization in the clinical practice." Proceedings of the 6th International Workshop on Augmented Environments for Computer-Assisted Interventions, AE-CAI 2011, Held in Conjunction with the Medical Image Computing and Computer-Assisted Interventions, MICCAI 2011, CAN 2012. 74-84.
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