loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Authors: B. W. van Schooten 1 ; E. M. A. G. van Dijk 2 ; A. Suinesiaputra 3 and J. H. C. Reiber 3

Affiliations: 1 Human Media Interaction, University of Twente, Netherlands ; 2 University of Twente, Netherlands ; 3 Leiden University Medical Center, Netherlands

ISBN: 978-989-674-027-6

Keyword(s): Volume visualization, Segmentation, Radiology, MRA, Visual cues.

Related Ontology Subjects/Areas/Topics: Abstract Data Visualization ; Computer Vision, Visualization and Computer Graphics ; General Data Visualization ; Interactive Visual Interfaces for Visualization ; Perception and Cognition in Visualization ; Visual Representation and Interaction

Abstract: 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. (More)

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 100.24.122.228

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
W. van Schooten B.; van Dijk E.; Suinesiaputra A.; Reiber J. and (2010). EFFECTIVENESS OF VISUALISATIONS FOR DETECTION OF ERRORS IN SEGMENTATION OF BLOOD VESSELS.In Proceedings of the International Conference on Imaging Theory and Applications and International Conference on Information Visualization Theory and Applications - Volume 1: IVAPP, (VISIGRAPP 2010) ISBN 978-989-674-027-6, pages 77-84. DOI: 10.5220/0002821800770084

@conference{ivapp10,
author={B. {W. van Schooten} and E. M. A. G. {van Dijk} and A. Suinesiaputra and J. H. C. Reiber},
title={EFFECTIVENESS OF VISUALISATIONS FOR DETECTION OF ERRORS IN SEGMENTATION OF BLOOD VESSELS},
booktitle={Proceedings of the International Conference on Imaging Theory and Applications and International Conference on Information Visualization Theory and Applications - Volume 1: IVAPP, (VISIGRAPP 2010)},
year={2010},
pages={77-84},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002821800770084},
isbn={978-989-674-027-6},
}

TY - CONF

JO - Proceedings of the International Conference on Imaging Theory and Applications and International Conference on Information Visualization Theory and Applications - Volume 1: IVAPP, (VISIGRAPP 2010)
TI - EFFECTIVENESS OF VISUALISATIONS FOR DETECTION OF ERRORS IN SEGMENTATION OF BLOOD VESSELS
SN - 978-989-674-027-6
AU - W. van Schooten, B.
AU - van Dijk, E.
AU - Suinesiaputra, A.
AU - Reiber, J.
PY - 2010
SP - 77
EP - 84
DO - 10.5220/0002821800770084

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.