Independent component imaging of disease signatures

Yue Wang; Junying Zhang; Kun Huang; Javed Khan; Zsolt Szabo

doi:10.1109/ISBI.2002.1029293

Independent component imaging of disease signatures

Yue Wang, Junying Zhang, Kun Huang, Javed Khan, Zsolt Szabo

School of Medicine

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

11 Scopus citations

Abstract

This paper describes a neural computation approach to independent component imaging of disease signatures. The novel feature is to separate mixed imagery sources blindly over an informative index subspace. The recovery of patterns is achieved by independent component analysts, whose parameters are estimated using the infomax principle. We discuss the theoretic roadmap of the approach, and its applications to the partial volume correction in cDNA microarray expression and the neuro-transporter binding separation in positron emission tomography.

Original language	English (US)
Title of host publication	2002 IEEE International Symposium on Biomedical Imaging, ISBI 2002 - Proceedings
Publisher	IEEE Computer Society
Pages	457-460
Number of pages	4
ISBN (Electronic)	078037584X
DOIs	https://doi.org/10.1109/ISBI.2002.1029293
State	Published - 2002
Event	IEEE International Symposium on Biomedical Imaging, ISBI 2002 - Washington, United States Duration: Jul 7 2002 → Jul 10 2002

Publication series

Name	Proceedings - International Symposium on Biomedical Imaging
Volume	2002-January
ISSN (Print)	1945-7928
ISSN (Electronic)	1945-8452

Other

Other	IEEE International Symposium on Biomedical Imaging, ISBI 2002
Country/Territory	United States
City	Washington
Period	7/7/02 → 7/10/02

Keywords

Independent component analysis
Microarrays
Neural computation
Positron emission tomography

ASJC Scopus subject areas

Biomedical Engineering
Radiology Nuclear Medicine and imaging

Access to Document

10.1109/ISBI.2002.1029293

Cite this

Wang, Y., Zhang, J., Huang, K., Khan, J., & Szabo, Z. (2002). Independent component imaging of disease signatures. In 2002 IEEE International Symposium on Biomedical Imaging, ISBI 2002 - Proceedings (pp. 457-460). Article 1029293 (Proceedings - International Symposium on Biomedical Imaging; Vol. 2002-January). IEEE Computer Society. https://doi.org/10.1109/ISBI.2002.1029293

Independent component imaging of disease signatures. / Wang, Yue; Zhang, Junying; Huang, Kun et al.
2002 IEEE International Symposium on Biomedical Imaging, ISBI 2002 - Proceedings. IEEE Computer Society, 2002. p. 457-460 1029293 (Proceedings - International Symposium on Biomedical Imaging; Vol. 2002-January).

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

Wang, Y, Zhang, J, Huang, K, Khan, J & Szabo, Z 2002, Independent component imaging of disease signatures. in 2002 IEEE International Symposium on Biomedical Imaging, ISBI 2002 - Proceedings., 1029293, Proceedings - International Symposium on Biomedical Imaging, vol. 2002-January, IEEE Computer Society, pp. 457-460, IEEE International Symposium on Biomedical Imaging, ISBI 2002, Washington, United States, 7/7/02. https://doi.org/10.1109/ISBI.2002.1029293

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keywords = "Independent component analysis, Microarrays, Neural computation, Positron emission tomography",

author = "Yue Wang and Junying Zhang and Kun Huang and Javed Khan and Zsolt Szabo",

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AB - This paper describes a neural computation approach to independent component imaging of disease signatures. The novel feature is to separate mixed imagery sources blindly over an informative index subspace. The recovery of patterns is achieved by independent component analysts, whose parameters are estimated using the infomax principle. We discuss the theoretic roadmap of the approach, and its applications to the partial volume correction in cDNA microarray expression and the neuro-transporter binding separation in positron emission tomography.

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ER -

Independent component imaging of disease signatures

Abstract

Publication series

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Keywords

ASJC Scopus subject areas

Access to Document

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