Ulvang, Dag Magne

Ulvang, Dag Magne


T: +47 480 98 691

M: daul@norceresearch.no



  • MedViz

    CMR are together with the University of Bergen and Haukeland University Hospital the main partners in the research cluster MedViz, focusing on interdisciplinary research in advanced image analysis and visualisation, bridging the gap between “bench and bedside”.

  • VRSafety

    VRSafety is a Virtual Reality (VR) application to be used in the oil, gas and process industry for the purpose of enhancing safety and risk communication as well as training.

  • Automated Construction Planning

    Together with a local company that produce and sell scaffold elements, CMR has developed software for automated computation of a complete scaffold setup around a building. The system includes configurable house-models as input, and detailed final visualizations of the resulting scaffold setup.


  • High-Quality 3D Visualization of In-Situ Ultrasonography

    Ivan Viola; Ulvang, Dag Magne; Solteszova, Veronika; Åsmund Birkeland, Linn Helljesen, Helwig Hauser, Spiros Kotopoulis, Kim Nylund , Ola K. Øye, Trygve Hausken, Odd H. Gilja

    In recent years medical ultrasound has experienced a rapid development in the quality of real-time 3D ultrasound (US) imaging. The image quality of the 3D volume that was previously possible to achieve within the range of a few seconds, is now possible in a fraction of a second.

  • Rule-based method for automatic scaffold assembly from 3D building models

    Løvset, Tyge; ; Ulvang, Dag Magne; ; Ivan Viola

    To manually specify an optimal scaffold assembly for a given building geometry is a time consuming task. Our goal is to automate the process of selecting and placing scaffold components in order to design an optimal scaffold assembly for a specific building.

  • Real Time Image-based Tracking of 4D Ultrasound Data

    Ola Kristoffer Øye; Ulvang, Dag Magne; Wolfgang Wein, Knut Matre, Ivan Viola

    We propose a methodology to perform real time image-based tracking on streaming 4D ultrasound data, using image registration to deduce the positioning of each ultrasound frame in a global coordinate system.

  • Volume visualization for exploration of population trends in two-dimensional gel electrophoresis protein data

    Ola Kristoffer Øye; Ulvang, Dag Magne; Katarina Jørgensen, Sigrun M. Hjelle, Bjørn Tore Gjertsen

    We propose a visualization method for exploring and analyzing data from two-dimensional (2D) gel electrophoresis, a frequently used laboratory technique in proteomics for characterizing and studying protein content in biological samples from patients or cell cultures.

  • Illustrative Couinaud Segmentation for Ultrasound Liver Ex-aminations

    Ola Kristoffer Øye (CMR); Ulvang, Dag Magne; Odd Helge Gilja (HUS/UiB), Helwig Hauser (UiB), Ivan Viola (UiB),

    Couinaud segmentation is a widely used liver partitioning scheme for describing the spatial relation between diagnostically relevant anatomical and pathological features in the liver. In this paper, we propose a new methodology for effectively conveying these spatial relations during the ultrasound examinations.

  • Quantitative assessment of kidney function using dynamic contrast enhanced MRI - steps towards an integrated software prototype

    Anderlik, A. (UiB); Ulvang, Dag Magne; Munthe-Kaas, A.Z. (UiB), Øye, O.K. (CMR), Eikefjord, E. (UiB), Rørvik, J. (UiB/HUS), Zöllner, F.G. (UiB / Univ. Heidelberg), Lundervold, A. (UiB/HUS)

    Renal diseases, caused by e.g. diabetes mellitus, hypertension or multiple cyst formations, can lead to kidney failure that requires renal replacement therapy (RRT). Early detection and treatment can delay or prevent this progression towards end-stage renal disease (ESRD).

  • Illustrated Ultrasound for Multimodal Data Interpretation of Liver Examinations

    Ivan Viola; Ulvang, Dag Magne; Kim Nylund, Ola Kristoffer Øye

    Traditional visualization of real-time 2D ultrasound data is difficult to interpret, even for experienced medical personnel. To make the interpretation during the education phase easier, we enhance the visualization during liver examinations with an abstracted depiction of relevant anatomical structures, here denoted as illustrated ultrasound. The specifics of enhancing structures are available through an interactively co-registered computed tomography, which has been enhanced by semantic information. To assist the orientation in the liver, we partition the liver into Couinaud segments. They are defined in a rapid segmentation process based on linked 2D slice views and 3D exploded views. The semantics are interactively related from the co-registered modality to the real-time ultrasound via co-registration. During the illustrated ultrasound examination training we provide visual enhancements that depict which liver segments are intersected by the ultrasound slice.

  • A Virtual Reality Solution for Evaluation of Radiotherapy Plans

    Ludvig Paul Muren; Patel, Daniel; Ulvang, Dag Magne; ; Anfinn Mehus, Yngve Kvinnsland

    This report presents a VR system for evaluation of treatment plans used in radiotherapy (RT), developed to improve the understanding of the spatial relationships between the patient anatomy and the calculated dose distribution.

  • Gel2DE - A software tool for correlation analysis of 2D gel electrophoresis data

    Ola Kristoffer Øye (CMR); Ulvang, Dag Magne; Katarina M Jørgensen, Department of Clinical Science, Hematology Section, University of Bergen, Bergen, Norway; Sigrun M Hjelle, Department of Clinical Science, Hematology Section, University of Bergen, Bergen, Norway; André Sulen, Department of Clinical Science, Hematology Section, University of Bergen, Bergen, Norway; Bjørn Tore Gjertsen, Department of Clinical Science, Hematology Section, University of Bergen, Bergen, Norway, Department of Internal Medicine, Hematology Section, Haukeland University Hospital, Bergen, Norway

    Pixel-by-pixel correlation of aligned 2D images permits analysis of complex protein patterns. We anticipate that the Gel2DE correlation software will be a useful tool for future bioinformatics discoveries through 2D gel electrophoresis.