Evaluating Visualisations and Automatic Warning Cues for Visual Search in Vascular Images

B.W. van Schooten, Elisabeth M.A.G. van Dijk, Avan Suinesiaputra, Antinus Nijholt, Johan H.C. Reiber

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review


    Visual search is a task that is performed in various application domains. We examine it in the domain of radiological analysis of 3D vascular images. We compare several major visualisations used in this domain, and we study the possible benefits of automatic warning systems that highlight the sections that may contain visual targets and hence require the user’s attention. With help of a literature study, we present some theory about what result can be expected given the accuracy of a particular visual cue. We present the results of two experiments, in which we find that the Curved Planar Reformation visualisation, which presents a cross-section based on knowledge about the position of the blood vessel, is significantly more efficient than regular 3D visualisations, and that automatic warning systems that produce false alarms could work if they do not miss targets.
    Original languageUndefined
    Title of host publicationCognitively Informed Intelligent Interfaces: Systems Design and Development
    EditorsEshaa M. Alkhalifa, Khulood Gaid
    Place of PublicationHershey, PA, USA
    PublisherIGI Global Publishers
    Number of pages16
    ISBN (Print)978-1-46661-628-8
    Publication statusPublished - 17 May 2012

    Publication series

    PublisherIGI Global Publishers


    • METIS-287839
    • Automatic warning system
    • IR-80463
    • EWI-21081
    • User's attention
    • Visual search

    Cite this