Effectiveness of Visualisations for Detection of Errors in Segmentation of Blood Vessels

B.W. van Schooten, Elisabeth M.A.G. van Dijk, A. Suinesiaputra, J.H.C. Reiber

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    Vascular disease diagnosis often requires a precise segmentation of the vessel lumen. When 3D (Magnetic Resonance Angiography, MRA, or Computed Tomography Angiography, CTA) imaging is available, this can be done automatically, but occasional errors are inevitable. So, the segmentation has to be checked by clinicians. This requires appropriate visualisation techniques. A number of visualisation techniques exist, but there has been little in the way of user studies that compare the different alternatives. In this study we examine how users interact with several basic visualisations, when performing a visual search task, checking vascular segmentation correctness of segmented MRA data. These visualisations are: direct volume rendering (DVR), isosurface rendering, and curved planar reformatting (CPR). Additionally, we examine if visual highlighting of potential errors can help the user find errors, so a fourth visualisation we examine is DVR with visual highlighting. Our main findings are that CPR performs fastest but has higher error rate, and there are no significant differences between the other three visualisations. We did find that visual highlighting actually has slower performance in early trials, suggesting that users learned to ignore them.
    Original languageUndefined
    Title of host publicationInternational Conference on Information Visualization Theory and Applications, IVAPP 2010
    Place of PublicationAngers, France
    PublisherINSTICC PRESS
    Number of pages8
    ISBN (Print)978-989-674-028-3
    Publication statusPublished - 17 May 2010
    EventInternational Conference on Information Visualization Theory and Applications, IVAPP 2010 - Angers, France
    Duration: 17 May 201021 May 2010

    Publication series

    PublisherINSTICC Press


    ConferenceInternational Conference on Information Visualization Theory and Applications, IVAPP 2010
    Other17-21 May 2010


    • METIS-270894
    • MRA
    • IR-72273
    • EWI-18099
    • Visual cues
    • Radiology
    • Segmentation
    • Volume visualization

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