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 |
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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 | |
Publication status | Published - 8 Mar 2009 |
Keywords
- visualization
- task based
- EIT image
- multi-dimensional