With funding from Bergen Research Foundation, Helse Bergen health trust and the University of Bergen have jointly established a Medical Imaging and Visualisation Centre with effect from 1 January 2017. The Foundation also helps to fund a tenure track position in medical visualisation at the Department of Informatics.
The centre is the result of interdisciplinary collaboration between the Faculty of Mathematics and Natural Sciences, the Faculty of Medicine and Dentistry, the Faculty of Psychology and Helse Bergen health trust. The centre is located at Helse Bergen’s Radiology Department, and Eli Renate Grüner has been appointed head of centre.
The centre’s long-term goal is for research results to benefit patients through more accurate diagnoses and safer treatment using modern equipment. In connection with the establishment of the centre, CEO of Helse Bergen health trust Eivind Hansen said:
‘We see it as strategically important to establish a centre to further develop and build on the expertise and resources developed by our research communities over several years.’
Bergen Research Foundation will support this medical visualisation initiative with a total grant of NOK 40.6 million over a period of five years, NOK 6 million of which is earmarked for a new tenure track (associate professor) position at the Department of Informatics. NOK 34.6 million will be allocated to the operation of the centre, including 3 research projects. In addition, the University of Bergen and Helse Bergen health trust will contribute substantial resources in the form of both staff and infrastructure.
The new research projects will have an important place in the centre’s work. The process of selecting the research projects that will form the core of the centre’s activities in the start-up period has been completed, and 3 projects will be funded.
Tenure track position at the Department of Informatics
Noeska Smit joins the group from Delft University of Technology (TU Delft) and took up the position as associate professor in the field of medical visualisation at the Department of Informatics on 1 January 2017.
The Visualization Group at the Department of Informatics employs advanced computer graphics and modern graphics hardware to achieve cutting-edge visualization for improved insight into data, leading to knowledge crystallisation and improved decision-making. The group is active in the field of computational medicine – a research field that is experiencing strong growth.
The Medical Imaging and Visualization Centre celebrated its official opening in December 2017.
News from and about MMIV
- Karl-Heinz Höhne MEdVis Award to L. Garrison 2021, 2. place
2021 Eurographics Workshop on Visual Computing for Biology and Medicine.Best Paper Honorable Mention til L. GarrisonT.no - VG.no Plus 20.01.2021 Forskning: Utvikler ny behandling for livmorkreft
- 22.09.2019 Dagen etter kreftoperasjonen kunne Tordis dra hjem. Da var hun ferdigbehandlet.
- Christiekonferansen 29.04.2019 Kan vi lære datamaskinene å finne kreft? Og ville du stolt på resultatene?
- Kreftregisteret.no 09.05 2019 3D-mammografi: Mer treffsikkert, men fant ikke mer kreft
- Norsk radiologiforening, oktober 2019: Professor Ingfrid Haldorsen utnevnes til æresmedlem.
- BA.no 21.11.2018 Trond Mohn hylles:- Det er rørende
- BT.no 21.11.2018 Haukeland vill hedre Trond Mohn med å fortelle historiene bak gavene
- The centre’s facebook page
- UiB.no BFS funding to visualization project
- UiB.no Meet people at II – Noeska Smit
- Blog (Noeska Smit): Eagereye.org
- News from the centre
- Helse Bergen, 3.3.2018 – Kompetansebygging gjennom nytt senter
- Youtube, 8.11.2017, Dr Haldorsen on the Roles of Imaging in the diagnosis of Endometrial Cancer
- Youtube, 27.11.2017 (Cancer Imaging Project): Dr. Haldorsen Discusses the Challenges with Imaging in Endometrial Cancer
- Various sources inkl. UIB/Helse Bergen (Opening ceremony):(video of ribbon cutting, CEO Haukeland University Hospital and Rector University of Bergen)
- Teknisk ukeblad: Machine Learning Project
- Dagens medisin: Cancer Imaging Project
- Blog: Machine Learning Project)