Scientific visualization in small animal imaging

Kwan Liu Ma, Gordon Kindlmann, Richard A. Normann, Arun Badi, Charles Keller, Greg M. Jones, Christopher R. Johnson

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

Biomedical applications of small animal imaging are creating exciting opportunities to extend the scientific impact of visualization research. The effective pairing of non-linear image filtering and direct volume rendering is one strategy for scientists to quickly explore and understand the volumetric scans of their specimens. Volume rendering may offer an effective way to rapidly explore and interpret the computer tomography (CT) data without image segmentation. The effectiveness of direct volume rendering as a tool of scientific visualization depends on the action of the transfer functions, which maps the numerical properties of the acquired volume data to the colors and opacities making the final rendering.

Original languageEnglish (US)
Pages (from-to)4-7
Number of pages4
JournalComputer Graphics (ACM)
Volume38
Issue number2
DOIs
Publication statusPublished - May 2004
Externally publishedYes

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ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Software

Cite this

Ma, K. L., Kindlmann, G., Normann, R. A., Badi, A., Keller, C., Jones, G. M., & Johnson, C. R. (2004). Scientific visualization in small animal imaging. Computer Graphics (ACM), 38(2), 4-7. https://doi.org/10.1145/1012283.1012291