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DSCN1016.jpg :
Photos from the installation of the CMIV VR theatre, September 2005.
 
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About CMIV

Center for Medical Image Science and Visualization (CMIV) is a multidisciplinary research center initiated by Linköpings universitet, the Landstinget i Östergötland, and Sectra AB. CMIV conducts focused front-line research within multidisciplinary projects providing solutions to tomorrow’s clinical issues. The mission is to develop future methods and tools for image analysis and vizualization for applications within health care and medical research.

The latest generation of CT, MRI and ultrasound scanners generate multidimensional data sets of rapidly increasing size. Obstacles associated with the handling and analysis of these large-scale data sets are of growing and immediate concern. Medical diagnosis is now facing serious data navigation and management problems. Focused research is required to solve these problems and to fully exploit the possibilities of the new technologies. Research activities within CMIV include the following four areas, with special emphasis on integration of these areas of expertise.

Data Acquisition / Image Reconstruction
Image Analysis / Modelling
Visualization / Simulation
Medical Application

The goals of CMIV are:

  • To offer Postgraduate school with both medical and technological entries and coherent research education.
  • To offer Sweden’s most attractive environment for research projects that demand both cutting edge competence and resources within imaging, computation and visualization.
  • To expand CMIV to an institute for research and education in a clinical environment.

CMIV aims at becoming an internationally recognized center for medical image science and visualization.


Give us new eyes

Your generosity can change lives for ever. Perhaps even yours. To contribute to our progress, please contact:
Anders Persson
Phone: +46 (0)10 - 103 8906
E-mail: anders.persson@cmiv.liu.se

Featured Research
fibercoloring2.jpg :
Stream tubes created from Diffusion Tensor MRI data, visualizing the connectivity in the brain. Images created by Anders Brun using techniques from the paper "Clustering fiber traces using normalized cuts" by Anders Brun et al.
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