Mvox: Interactive 2-4D medical image and graphics visualization software

Morten Bro-Nielsen, H.U. Lemke (Editor), M.W Vannier (Editor), K. Inamura (Editor), A.G. Farman (Editor)

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    Abstract

    Mvox is a new tool for visualization, segmentation and manipulation of a wide range of 2-4D grey level and colour images, and 3D surface graphics, which has been developed at the Department of Mathematical Modelling, Technical University of Denmark. The principal idea behind the software has been to provide a flexible tool that is able to handle all the kinds of data that are typically used in a research environment for medical imaging and visualization. At the same time the software should be easy to use and have a consistent interface providing locally only the functions relevant to the context. This has been achieved by using Unix standards such as X/Motif/OpenGL and conforming to modern standards of interactive windowed programs
    Original languageEnglish
    Title of host publicationCAR '96 Computer Assisted Radiology. Proc of the Int Symp on Comp and Comm Systems for image Guided Diagnosis and Therapy
    PublisherInformatics and Mathematical Modelling, Technical University of Denmark, DTU
    Publication date1996
    Pages335-338
    Publication statusPublished - 1996
    EventComputer Assisted Radiology: International Symposium on Computer and Communication Systems for Image Guided Diagnosis and Therapy - Paris, France
    Duration: 1 Jan 1996 → …

    Conference

    ConferenceComputer Assisted Radiology
    CountryFrance
    CityParis
    Period01/01/1996 → …

    Keywords

    • medical image processing
    • interactive systems
    • terms data visualisation
    • user interfaces
    • image segmentation
    • image colour analysis

    Cite this

    Bro-Nielsen, M., Lemke, H. U. (Ed.), Vannier, M. W. (Ed.), Inamura, K. (Ed.), & Farman, A. G. (Ed.) (1996). Mvox: Interactive 2-4D medical image and graphics visualization software. In CAR '96 Computer Assisted Radiology. Proc of the Int Symp on Comp and Comm Systems for image Guided Diagnosis and Therapy (pp. 335-338). Informatics and Mathematical Modelling, Technical University of Denmark, DTU.