Task based visualization of 5D brain EIT data

Yan Zhang; Peter J. Passmore; Richard H. Bayford

doi:10.1145/1529282.1529459

Task based visualization of 5D brain EIT data

Yan Zhang, Peter J. Passmore , Richard H. Bayford

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English
Title of host publication	SAC '09 Proceedings of the 2009 ACM symposium on Applied Computing
Place of Publication	New York
Publisher	ACM
Pages	831-835
Number of pages	5
ISBN (Print)	978-1-60558-166-8
DOIs	https://doi.org/10.1145/1529282.1529459
Publication status	Published - 8 Mar 2009

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Keywords

visualization
task based
EIT image
multi-dimensional

Cite this

Zhang, Y., Passmore , P. J., & Bayford, R. H. (2009). Task based visualization of 5D brain EIT data. In SAC '09 Proceedings of the 2009 ACM symposium on Applied Computing (pp. 831-835). ACM. https://doi.org/10.1145/1529282.1529459

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title = "Task based visualization of 5D brain EIT data",

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.",

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AU - Bayford, Richard H.

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N2 - 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.

AB - 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.

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KW - EIT image

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U2 - 10.1145/1529282.1529459

DO - 10.1145/1529282.1529459

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BT - SAC '09 Proceedings of the 2009 ACM symposium on Applied Computing

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Documents and Links

10.1145/1529282.1529459