Date of Award
Summer 8-2012
Degree Type
Masters Thesis
Degree Name
Master of Science (MS)
Department
Computing
Committee Chair
Jian Chen
Committee Chair Department
Computing
Committee Member 2
Alexander P. Auchus
Committee Member 3
David H. Laidlaw
Committee Member 4
Chaoyang Zhang
Committee Member 4 Department
Computing
Abstract
This thesis presents the design and prototype implementation of a scientific visualization language called Zifazah for composing and exploring 3D visualizations of diffusion tensor magnetic resonance imaging (DT-MRI or DTI) data. Unlike existing tools allowing flexible customization of data visualizations that are programmer-oriented, Zifazah focuses on domain scientists as end users in order to enable them to freely compose visualizations of their scientific data set. Verbal descriptions of end users about how they would build and explore DTI visualizations are analyzed to collect syntax, semantics, and control structures of the language. Zifazah makes use of the initial set of lexical terms and semantical patterns to provide a declarative language in the spirit of intuitive syntax and usage. Along with sample scripts representative of the main language design features, some new DTI visualizations created by end users using the novel language have also been presented.
Copyright
2012, Haipeng Cai
Recommended Citation
Cai, Haipeng, "Zifazah: A Scientific Visualization Language for Tensor Field Visualizations" (2012). Master's Theses. 435.
https://aquila.usm.edu/masters_theses/435