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


Share/Save/Bookmark

Schooten, Boris W. van and Dijk, Betsy M.A.G. van and Suinesiaputra, Avan and Nijholt, Anton and Reiber, Johan H.C. (2012) Evaluating Visualisations and Automatic Warning Cues for Visual Search in Vascular Images. In: Cognitively Informed Intelligent Interfaces: Systems Design and Development. IGI Global Publishers, Hershey, PA, USA, pp. 68-83. ISBN 9781466616288

[img] PDF
Restricted to UT campus only

1MB
Abstract: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.
Item Type:Book Section
Copyright:© 2012 IGI Global Publishers
Faculty:
Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:
Link to this item:http://purl.utwente.nl/publications/80463
Official URL:http://dx.doi.org/10.4018/978-1-4666-1628-8.ch005
Export this item as:BibTeX
EndNote
HTML Citation
Reference Manager

 

Repository Staff Only: item control page