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Proceedings Paper

Linked exploratory visualizations for uncertain MR spectroscopy data
Author(s): David Feng; Lester Kwock; Yueh Lee; Russell M. Taylor II
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Paper Abstract

We present a system for visualizing magnetic resonance spectroscopy (MRS) data sets. Using MRS, radiologists generate multiple 3D scalar fields of metabolite concentrations within the brain and compare them to anatomical magnetic resonance imaging. By understanding the relationship between metabolic makeup and anatomical structure, radiologists hope to better diagnose and treat tumors and lesions. Our system consists of three linked visualizations: a spatial glyph-based technique we call Scaled Data-Driven Spheres, a parallel coordinates visualization augmented to incorporate uncertainty in the data, and a slice plane for accurate data value extraction. The parallel coordinates visualization uses specialized brush interactions designed to help users identify nontrivial linear relationships between scalar fields. We describe two novel contributions to parallel coordinates visualizations: linear function brushing and new axis construction. Users have discovered significant relationships among metabolites and anatomy by linking interactions between the three visualizations.

Paper Details

Date Published: 18 January 2010
PDF: 12 pages
Proc. SPIE 7530, Visualization and Data Analysis 2010, 753004 (18 January 2010); doi: 10.1117/12.839818
Show Author Affiliations
David Feng, The Univ. of North Carolina at Chapel Hill (United States)
Lester Kwock, The Univ. of North Carolina at Chapel Hill (United States)
Yueh Lee, The Univ. of North Carolina at Chapel Hill (United States)
Russell M. Taylor II, The Univ. of North Carolina at Chapel Hill (United States)


Published in SPIE Proceedings Vol. 7530:
Visualization and Data Analysis 2010
Jinah Park; Ming C. Hao; Pak Chung Wong; Chaomei Chen, Editor(s)

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