EFFECTIVENESS OF VISUALISATIONS FOR DETECTION OF ERRORS IN SEGMENTATION OF BLOOD VESSELS
B. W. van Schooten, E. M. A. G. van Dijk, A. Suinesiaputra, J. H. C. Reiber
2010
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.
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Paper Citation
in Harvard Style
W. van Schooten B., van Dijk E., Suinesiaputra A. and Reiber J. (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
in Bibtex Style
@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},
}
in EndNote Style
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