Task based visualization of 5D brain EIT data

Zhang, Yan and Passmore, Peter J. and Bayford, Richard (2009) Task based visualization of 5D brain EIT data. In: Proceedings of the 2009 ACM symposium on Applied Computing - SAC '09. Association for Computing, New York, p. 831. ISBN 9781605581668

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Abstract

Visualization is vital for medical research and clinical applications to interpret information presented in medical imaging data. EIT (Electrical Impedance Tomography) is a recently developed medical imaging technique, which is able to collect 5D spectral-temporal-spatial data. Visualization of multi-dimensional medical imaging data is still a challenge. Making use of the TMDV (Task-based Multi-Dimensional Visualization) method and CTE (Cubic Task Explore) model, a task based prototype system, EIT5DVis, is developed for the visualization of 5D brain EIT data in this paper. The evaluation result demonstrates the usability of EIT5DVis prototype visualization system and the effectiveness of the TMVD method and CTE model for the visualization of multi-dimensional medical imaging data.

Item Type: Book Section
Research Areas: A. > School of Science and Technology > Computer Science
A. > School of Science and Technology > Computer Science > Artificial Intelligence group
A. > School of Science and Technology > Natural Sciences
A. > School of Science and Technology > Natural Sciences > Biophysics and Bioengineering group
Item ID: 4499
Useful Links:
Depositing User: Dr P.J. Passmore
Date Deposited: 16 Mar 2010 09:57
Last Modified: 02 Oct 2015 12:26
URI: http://eprints.mdx.ac.uk/id/eprint/4499

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