Abstract
The objective of this poster is to develop a set of tools to effectively visualize, measure, and annotate 4D (3D + time) Computed Tomography (CT) images of radiation oncology patients for both research and clinical applications. Currently, radiotherapy treatment planning utilizes a 2D perspective of 4D data, thereby reducing the amount of information visually available. This information, such as the shape, movement and location of a tumor is critical in treatment planning. These tools are designed to both improve a user's perspective and analysis of tumor shape, motion, and location during respiration. Furthermore, measurement and annotation tools are designed to give users the ability to validate and report findings within visualizations.
Keywords
CT datasets, visualizations, tools, 4D data
Subject Categories
Diagnostic imaging, Cancer--Diagnosis
Disciplines
Biomedical Engineering and Bioengineering
Publisher
Bernard M. Gordon Center for Subsurface Sensing and Imaging Systems (Gordon-CenSSIS)
Publication Date
2007
Rights Holder
Bernard M. Gordon Center for Subsurface Sensing and Imaging Systems (Gordon-CenSSIS)
Permanent URL
Recommended Citation
Erem, Burak; Kaeli, David; Brooks, Dana; and Chen, George, "Development of visualization tools for 4D CT datasets" (2007). Research Thrust R3 Presentations. Paper 5. http://hdl.handle.net/2047/d10009140
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COinS
Notes
Poster presented at the 2007 Thrust R3B Solutionware Tools Conference