Zifazah: A Scientific Visualization Language for Tensor Field Visualizations

<p>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.</p>

Name thesis:degree_name

Master of Science (MS)

Level thesis:degree_level

Masters Thesis

Discipline thesis:degree_discipline

Computing

Year dc:date.available

2012

Author dc:creator

• Cai, Haipeng

Contributors dc:contributor

• Jian Chen
• Alexander P. Auchus
• David H. Laidlaw

Repository record dc:identifier

https://aquila.usm.edu/masters_theses/435

OAI identifier oai:identifier

oai:aquila.usm.edu:masters_theses-1505