Scientific visualization in small animal imaging

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

doi:10.1145/1012283.1012291

Scientific visualization in small animal imaging

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

Pediatric Hematology & Oncology

Research output: Contribution to specialist publication › Article

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 language	English (US)
Pages	4-7
Number of pages	4
Volume	38
No	2
Specialist publication	Computer Graphics (ACM)
DOIs	https://doi.org/10.1145/1012283.1012291
State	Published - May 1 2004

ASJC Scopus subject areas

Computer Science(all)
Computer Graphics and Computer-Aided Design

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AU - Normann, Richard A.

AU - Badi, Arun

AU - Keller, Charles

AU - Jones, Greg M.

AU - Johnson, Christopher R.

PY - 2004/5/1

Y1 - 2004/5/1

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AB - 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.

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Scientific visualization in small animal imaging

Abstract

ASJC Scopus subject areas

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