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Systems for visualizing images using explicit quality prioritization of a feature (s) in multidimensional image data sets, related methods and computer products
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering. Linköping University, Center for Medical Image Science and Visualization (CMIV).ORCID iD: 0000-0002-9368-0177
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering. (Immersive Visualization)ORCID iD: 0000-0002-9288-5322
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering. Linköping University, Center for Medical Image Science and Visualization (CMIV).ORCID iD: 0000-0002-9466-9826
2010 (English)Patent (Other (popular science, discussion, etc.))
Abstract [en]

Visualization systems for rendering images from a multi-dimensional data set, include an interactive visualization system configured to accept user input to define at least one explicit prioritized feature in an image rendered from a multi-dimensional image data set. The at least one prioritized feature is automatically electronically rendered with high or full quality in different interactively requested rendered images of the image data while other non-prioritized features are rendered at lower quality. The visualization system may optionally include a rendering system configured to render images by electronically assigning a level of detail for different tiles associated with an image, each level of detail having a number of pixel samples to be calculated to thereby accelerate image processing.

Place, publisher, year, edition, pages
2010.
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:liu:diva-119034OAI: oai:DiVA.org:liu-119034DiVA: diva2:820160
Patent
US 7,830,381 (2008-06-26)
Available from: 2015-06-11 Created: 2015-06-08 Last updated: 2015-06-29Bibliographically approved

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Lundström, ClaesLjung, PatricYnnerman, Anders
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Media and Information TechnologyFaculty of Science & EngineeringCenter for Medical Image Science and Visualization (CMIV)
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