Visualization of multidimensional and multimodal tomographic medical imaging data, a case study

Zhang, Yan and Passmore, Peter J. and Bayford, Richard (2009) Visualization of multidimensional and multimodal tomographic medical imaging data, a case study. Philosophical Transactions of the Royal Society of London. A: Mathematical and Physical Sciences, 367 (1900). pp. 3121-3148. ISSN 1364-503X

Full text is not in this repository.

Official URL: http://dx.doi.org/10.1098/rsta.2009.0084

This item is available in the Library Catalogue

Abstract

Multidimensional tomographic datasets contain physical properties defined over four-dimensional (e.g. spatial–temporal, spatial–spectral), five-dimensional (e.g. spatial–temporal–spectral) or even higher-dimensional domains. Multimodal tomographic datasets contain physical properties obtained with different imaging modalities. In medicine, four-dimensional data are widely used, five-dimensional data are emerging, and multimodal data are being used more often every day. Visualization is vital for medical diagnosis and surgical planning to interpret the information included in imaging data. Visualization of multidimensional and multimodal tomographic imaging data is still a challenging task. As a case study, our work focuses on the visualization of five-dimensional (spatial–temporal–spectral) brain electrical impedance tomography (EIT) data. In this paper, a task-based subset definition scheme is proposed: a task model named Cubic Task Explorer (CTE) is derived to support the visualization task exploration for medical imaging data, and a structured method for visualization system development called Task-based Multi-Dimensional Visualization (TMDV) is proposed. A prototype system named EIT5DVis is developed using the CTE model and TMDV method to visualize five-dimensional brain EIT data.

Item Type:Article
Additional Information:

Online ISSN: 1471-2962

Research Areas:Science & Technology > Algorithms, Architecture & Networks
Science & Technology > Biomedical Science
Citations on ISI Web of Science:1
ID Code:3599
Useful Links:
Deposited On:11 Jan 2010 05:39
Last Modified:31 May 2013 15:40

Repository Staff Only: item control page

Full text downloads (NB count will be zero if no full text documents are attached to the record)

Downloads per month over the past year