Arvid Lundervold MD PhD

Professor

University of Bergen

Department of Biomedicine

Neuroinformatics and Image Analysis Laboratory  (former MIAPR)

& Molecular Imaging Center & MedViz & The Image Processing Group in Bergen

Jonas Lies vei 91, N-5009 Bergen, Norway 

Phone +47 5558 6353    Fax +47 5558 6410  Mob +47 915 61 824

arvid.lundervold@biomed.uib.no

http://www.uib.no/med/avd/miapr/arvid

Home address: Ferstadvegen 88,  N-5200 Os                                      

Phone home: +47 5630 5574   

 

MedViz   – a new Research & Development cluster in Bergen. MedViz is a cluster of groups performing interdisciplinary research in advanced image analysis and visualization bridging the gap between “bench and bedside”. MedViz also includes imaging physics and fundamental biomedical translational research. Our mission is to promote the development of biomedical and clinical imaging technologies with the ultimate goal of improving diagnosis and treatment of patients. MedViz wants to develop new clinical methods for potential commercialization by means of denovo software for analysis, decision support and visual communication.

The Molecular Imaging Center is a technological facility providing a variety of equipment, and scientific and technical expertise for the general research community of Norway. The mission of the Center is to maintain and develop modern technologies of biological imaging, and make them available to scientists to be applied in specific projects carried out in different research fields, such as Cell and Developmental Biology, Neurobiology, and Cancer Biology.

The Image Processing group in Bergen The research area of our group is image processing, using partial differential equations and optimization methods, and also statistical approaches. The processed images are typically minimizers of certain energy functionals. Finding the minimum of such functionals can often be done by solving (nonlinear) partial differential equations (Calculus of Variations). Image processing has huge application areas, and we are especially interested in applications to medical imaging.