Have a look at the inside of a human being. In this installation, with the help of an easy to use multi touch interface, the user can freely interact with stunning volumetric 3D datasets of real scanned human bodies.
The datasets in this demo have been created with state of the art techniques within medical imaging; Dual Energy Computed Tomography. The data has been imported straight from the scanners and has not been edited or modified before rendering, what you see is not a 3D model, it’s a full volumetric description of a human body.
The visualization techniques used in this table is already utilized successfully as a compliment to the conventional autopsy. Apart from avoiding cutting in the body the medical experts, such as coroners, can see things that are difficult to discover in a conventional autopsy. Furthermore, the technique opens up for new opportunities in countries where autopsies are not accepted due to cultural reasons. The technique will revolutionize the traditional health care in many areas.
The technique can also, for educational purposes, be used in education environments and in public institutions such as museums, Science and Technology centers.
The Virtual Autopsy Table is developed by Norrköping Visualization Centre in collaboration with CMIV (cmiv.liu.se).
The installation is based on research results from CMIV, VITA at Linköping University, Sweden and Swedish National Board of Forensic Medicine.
For more information please visit: visualiseringscenter.se/autopsy
Volume data resolution: 512x512x3397x2 (1.7 GB)
Frame rate: 30 Hz
Display resolution: 1980x1080
Installation concept: Interactive Institute
Project management: Thomas Rydell - Interactive Institute
Volume rendering: Dr. Patric Ljung, Prof. Anders Ynnerman, Prof. Anders Persson and Willem Frishert – CMIV/VITA
Scanning, data and medical expertise: Prof. Anders Persson - CMIV
User interface: David Karlsson - Interactive Institute and Willem Frishert - VITA
Video production: Claes Ericson - Interactive Institute
Follow us on Twitter? @visualiseringC
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