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	Association for Computing Machinery (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
Event	24th Annual ACM Symposium on Applied Computing - Hilton Hawaiian Village Beach Resort & Spa, Honolulu, United States Duration: 8 Mar 2009 → 12 Mar 2009 https://www.sigapp.org/sac/sac2009/ (Link to conference website)

Conference

Conference	24th Annual ACM Symposium on Applied Computing
Abbreviated title	SAC '09
Country/Territory	United States
City	Honolulu
Period	8/03/09 → 12/03/09
Internet address	https://www.sigapp.org/sac/sac2009/ (Link to conference website)

Keywords

visualization
task based
EIT image
multi-dimensional

Documents and Links

10.1145/1529282.1529459

Cite this

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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.",

keywords = "visualization, task based, EIT image, multi-dimensional",

author = "Yan Zhang and Passmore, {Peter J.} and Bayford, {Richard H.}",

year = "2009",

month = mar,

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doi = "10.1145/1529282.1529459",

language = "English",

isbn = "978-1-60558-166-8",

pages = "831--835",

booktitle = "SAC '09 Proceedings of the 2009 ACM symposium on Applied Computing",

publisher = "Association for Computing Machinery (ACM)",

address = "United States",

note = "24th Annual ACM Symposium on Applied Computing, SAC '09 ; Conference date: 08-03-2009 Through 12-03-2009",

url = "https://www.sigapp.org/sac/sac2009/",

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TY - GEN

T1 - Task based visualization of 5D brain EIT data

AU - Zhang, Yan

AU - Passmore , Peter J.

AU - Bayford, Richard H.

PY - 2009/3/8

Y1 - 2009/3/8

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.

KW - visualization

KW - task based

KW - EIT image

KW - multi-dimensional

U2 - 10.1145/1529282.1529459

DO - 10.1145/1529282.1529459

M3 - Conference contribution

SN - 978-1-60558-166-8

SP - 831

EP - 835

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

PB - Association for Computing Machinery (ACM)

CY - New York

T2 - 24th Annual ACM Symposium on Applied Computing

Y2 - 8 March 2009 through 12 March 2009

ER -

Task based visualization of 5D brain EIT data

Abstract

Conference

Keywords

Documents and Links

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