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A blending technique for enhanced depth perception in medical x-ray vision applications
Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, Center for Medical Image Science and Visualization (CMIV). Linköping University, The Institute of Technology.
Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology. Linköping University, Center for Medical Image Science and Visualization (CMIV).ORCID iD: 0000-0002-9466-9826
Linköping University, Faculty of Health Sciences. Linköping University, Department of Medicine and Care, Medical Radiology. Östergötlands Läns Landsting, Centre for Medical Imaging, Department of Radiology UHL. Linköping University, Center for Medical Image Science and Visualization (CMIV).ORCID iD: 0000-0002-7750-1917
2007 (English)In: Medicine Meets Virtual Reality 15 / [ed] James D. Westwood, Randy S. Haluck, Helene M. Hoffman, Greg T. Mogel, Roger Phillips, Richard A. Robb, Kirby G. Vosburgh, IOS Press, 2007, Vol. 125, 176-178 p.Conference paper, Published paper (Refereed)
Abstract [en]

Depth perception is a common problem for x-ray vision in augmented reality applications since the goal is to visualize occluded and embedded objects. In this paper we present an x-ray vision blending method for neurosurgical applications that intensifies the interposition depth cue in order to achieve enhanced depth perception. The proposed technique emphasizes important structures, which provides the user with an improved depth context.

Place, publisher, year, edition, pages
IOS Press, 2007. Vol. 125, 176-178 p.
Series
Studies in Health Technology and Informatics, ISSN 0926-9630 (print); 1879-8365 (online) ; Vol. 125
Keyword [en]
X-ray vision, depth perception, MRI, neurosurgical planning
National Category
Electrical Engineering, Electronic Engineering, Information Engineering Medical Engineering
Identifiers
URN: urn:nbn:se:liu:diva-39473ISI: 000270613800040PubMedID: 17377261Local ID: 48768ISBN: 978-1-58603-713-0 (print)ISBN: 978-1-60750-225-8 (print)OAI: oai:DiVA.org:liu-39473DiVA: diva2:260322
Conference
15th Conference on Medicine Meets Virtual Reality, Long Beach, CA, USA, FEB 06-09, 2007
Available from: 2009-10-10 Created: 2009-10-10 Last updated: 2015-09-22Bibliographically approved

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Hernell, FridaYnnerman, AndersSmedby, Örjan

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Visual Information Technology and Applications (VITA)Center for Medical Image Science and Visualization (CMIV)The Institute of TechnologyFaculty of Health SciencesMedical RadiologyDepartment of Radiology UHL
Electrical Engineering, Electronic Engineering, Information EngineeringMedical Engineering

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