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Full Body Virtual Autopsies using a State-of-the-art Volume Rendering Pipeline
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 Medical and Health Sciences, Division of Radiological Sciences. Linköping University, Faculty of Medicine and Health Sciences. Linköping University, Center for Medical Image Science and Visualization (CMIV). Östergötlands Läns Landsting, Center for Diagnostics, Department of Radiology in Linköping.ORCID iD: 0000-0002-9446-6981
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
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2006 (English)In: IEEE Transactions on Visualization and Computer Graphics, ISSN 1077-2626, Vol. 12, no 5, 869-876 p.Article in journal (Refereed) Published
Abstract [en]

This paper presents a procedure for virtual autopsies based on interactive 3D visualizations of large scale, high resolution data from CT-scans of human cadavers. The procedure is described using examples from forensic medicine and the added value and future potential of virtual autopsies is shown from a medical and forensic perspective. Based on the technical demands of the procedure state-of-the-art volume rendering techniques are applied and refined to enable real-time, full body virtual autopsies involving gigabyte sized data on standard GPUs. The techniques applied include transfer function based data reduction using levelof- detail selection and multi-resolution rendering techniques. The paper also describes a data management component for large, out-of-core data sets and an extension to the GPU-based raycaster for efficient dual TF rendering. Detailed benchmarks of the pipeline are presented using data sets from forensic cases.

Place, publisher, year, edition, pages
2006. Vol. 12, no 5, 869-876 p.
National Category
Media Engineering
Identifiers
URN: urn:nbn:se:liu:diva-119052DOI: 10.1109/TVCG.2006.146OAI: oai:DiVA.org:liu-119052DiVA: diva2:820188
Available from: 2015-06-11 Created: 2015-06-08 Last updated: 2015-06-30

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Ljung, PatricPersson, AndersLundström, ClaesYnnerman, Anders
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Media and Information TechnologyFaculty of Science & EngineeringDivision of Radiological SciencesFaculty of Medicine and Health SciencesCenter for Medical Image Science and Visualization (CMIV)Department of Radiology in Linköping
Media Engineering

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