Visualization and analysis of large three-dimensional hyperspectral images

Stephen E. Reichenbach; Xue Tian; Robert Lindquist; Qingping Tao; Alex Hendersonc; John C. Vickerman

doi:10.1117/12.820870

Visualization and analysis of large three-dimensional hyperspectral images

Stephen E. Reichenbach, Xue Tian, Robert Lindquist, Qingping Tao, Alex Hendersonc, John C. Vickerman

Computer Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

New technologies for Secondary Ion Mass Spectrometry (SIMS) produce three-dimensional hyperspectral chemical images with high spatial resolution and fine mass-spectral precision. SIMS imaging of biological tissues and cells promises to provide an informational basis for important advances in a wide variety of applications, including cancer treatments. However, the volume and complexity of data pose significant challenges for interactive visualization and analysis. This paper describes new methods and tools for computer-based visualization and analysis of SIMS data, including a coding scheme for efficient storage and fast access, interactive interfaces for visualizing and operating on three-dimensional hyperspectral images, and spatio-spectral clustering and classification.

Original language	English (US)
Title of host publication	Visual Information Processing XVIII
DOIs	https://doi.org/10.1117/12.820870
State	Published - 2009
Event	Visual Information Processing XVIII - Orlando, FL, United States Duration: Apr 14 2009 → Apr 15 2009

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	7341
ISSN (Print)	0277-786X

Conference

Conference	Visual Information Processing XVIII
Country/Territory	United States
City	Orlando, FL
Period	4/14/09 → 4/15/09

Keywords

Hyperspectral image processing
Secondary ion mass spectrometry (SIMS)
Three-dimensional image processing

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

Access to Document

10.1117/12.820870

Cite this

Reichenbach, SE, Tian, X, Lindquist, R, Tao, Q, Hendersonc, A & Vickerman, JC 2009, Visualization and analysis of large three-dimensional hyperspectral images. in Visual Information Processing XVIII., 734108, Proceedings of SPIE - The International Society for Optical Engineering, vol. 7341, Visual Information Processing XVIII, Orlando, FL, United States, 4/14/09. https://doi.org/10.1117/12.820870

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title = "Visualization and analysis of large three-dimensional hyperspectral images",

abstract = "New technologies for Secondary Ion Mass Spectrometry (SIMS) produce three-dimensional hyperspectral chemical images with high spatial resolution and fine mass-spectral precision. SIMS imaging of biological tissues and cells promises to provide an informational basis for important advances in a wide variety of applications, including cancer treatments. However, the volume and complexity of data pose significant challenges for interactive visualization and analysis. This paper describes new methods and tools for computer-based visualization and analysis of SIMS data, including a coding scheme for efficient storage and fast access, interactive interfaces for visualizing and operating on three-dimensional hyperspectral images, and spatio-spectral clustering and classification.",

keywords = "Hyperspectral image processing, Secondary ion mass spectrometry (SIMS), Three-dimensional image processing",

author = "Reichenbach, {Stephen E.} and Xue Tian and Robert Lindquist and Qingping Tao and Alex Hendersonc and Vickerman, {John C.}",

year = "2009",

doi = "10.1117/12.820870",

language = "English (US)",

isbn = "9780819476074",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

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T1 - Visualization and analysis of large three-dimensional hyperspectral images

AU - Reichenbach, Stephen E.

AU - Tian, Xue

AU - Lindquist, Robert

AU - Tao, Qingping

AU - Hendersonc, Alex

AU - Vickerman, John C.

PY - 2009

Y1 - 2009

N2 - New technologies for Secondary Ion Mass Spectrometry (SIMS) produce three-dimensional hyperspectral chemical images with high spatial resolution and fine mass-spectral precision. SIMS imaging of biological tissues and cells promises to provide an informational basis for important advances in a wide variety of applications, including cancer treatments. However, the volume and complexity of data pose significant challenges for interactive visualization and analysis. This paper describes new methods and tools for computer-based visualization and analysis of SIMS data, including a coding scheme for efficient storage and fast access, interactive interfaces for visualizing and operating on three-dimensional hyperspectral images, and spatio-spectral clustering and classification.

AB - New technologies for Secondary Ion Mass Spectrometry (SIMS) produce three-dimensional hyperspectral chemical images with high spatial resolution and fine mass-spectral precision. SIMS imaging of biological tissues and cells promises to provide an informational basis for important advances in a wide variety of applications, including cancer treatments. However, the volume and complexity of data pose significant challenges for interactive visualization and analysis. This paper describes new methods and tools for computer-based visualization and analysis of SIMS data, including a coding scheme for efficient storage and fast access, interactive interfaces for visualizing and operating on three-dimensional hyperspectral images, and spatio-spectral clustering and classification.

KW - Hyperspectral image processing

KW - Secondary ion mass spectrometry (SIMS)

KW - Three-dimensional image processing

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DO - 10.1117/12.820870

M3 - Conference contribution

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T3 - Proceedings of SPIE - The International Society for Optical Engineering

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Visualization and analysis of large three-dimensional hyperspectral images

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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