Global approach to multivariate correlation analysis of brain positron emission tomographic images

Chulhee Lee, Michael A. Unser, Terence A. Ketter

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this paper, we propose a multivariate correlation analysis of PET brain images. PET images provide the means to understand the functionality of brain. By examining the correlations between the PET images and external variables, such as emotional or psychosensory experiences, it is possible to determine which parts of the brain are related to the given external variables. So far, most correlation analyses have concentrated on one variable at a time. However, this type of univariate approach rapidly becomes impractical as the number of external variables increases because the analysis produces an overwhelming amount of data. In this paper, we extend the correlation analysis to multiple variables. The technique makes it possible to analyze a large number of variables and shows the importance of each variable.

Original languageEnglish
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsFred L. Bookstein, James S. Duncan, Nicholas Lange, David C. Wilson
PublisherPubl by Society of Photo-Optical Instrumentation Engineers
Pages305-315
Number of pages11
Volume2299
ISBN (Print)0819416231
Publication statusPublished - 1994 Dec 1
EventMathematical Methods in Medical Imaging III - San Diego, CA, USA
Duration: 1994 Jul 251994 Jul 26

Other

OtherMathematical Methods in Medical Imaging III
CitySan Diego, CA, USA
Period94/7/2594/7/26

Fingerprint

Positrons
brain
positrons
Brain

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Condensed Matter Physics

Cite this

Lee, C., Unser, M. A., & Ketter, T. A. (1994). Global approach to multivariate correlation analysis of brain positron emission tomographic images. In F. L. Bookstein, J. S. Duncan, N. Lange, & D. C. Wilson (Eds.), Proceedings of SPIE - The International Society for Optical Engineering (Vol. 2299, pp. 305-315). Publ by Society of Photo-Optical Instrumentation Engineers.
Lee, Chulhee ; Unser, Michael A. ; Ketter, Terence A. / Global approach to multivariate correlation analysis of brain positron emission tomographic images. Proceedings of SPIE - The International Society for Optical Engineering. editor / Fred L. Bookstein ; James S. Duncan ; Nicholas Lange ; David C. Wilson. Vol. 2299 Publ by Society of Photo-Optical Instrumentation Engineers, 1994. pp. 305-315
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Lee, C, Unser, MA & Ketter, TA 1994, Global approach to multivariate correlation analysis of brain positron emission tomographic images. in FL Bookstein, JS Duncan, N Lange & DC Wilson (eds), Proceedings of SPIE - The International Society for Optical Engineering. vol. 2299, Publ by Society of Photo-Optical Instrumentation Engineers, pp. 305-315, Mathematical Methods in Medical Imaging III, San Diego, CA, USA, 94/7/25.

Global approach to multivariate correlation analysis of brain positron emission tomographic images. / Lee, Chulhee; Unser, Michael A.; Ketter, Terence A.

Proceedings of SPIE - The International Society for Optical Engineering. ed. / Fred L. Bookstein; James S. Duncan; Nicholas Lange; David C. Wilson. Vol. 2299 Publ by Society of Photo-Optical Instrumentation Engineers, 1994. p. 305-315.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - In this paper, we propose a multivariate correlation analysis of PET brain images. PET images provide the means to understand the functionality of brain. By examining the correlations between the PET images and external variables, such as emotional or psychosensory experiences, it is possible to determine which parts of the brain are related to the given external variables. So far, most correlation analyses have concentrated on one variable at a time. However, this type of univariate approach rapidly becomes impractical as the number of external variables increases because the analysis produces an overwhelming amount of data. In this paper, we extend the correlation analysis to multiple variables. The technique makes it possible to analyze a large number of variables and shows the importance of each variable.

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Lee C, Unser MA, Ketter TA. Global approach to multivariate correlation analysis of brain positron emission tomographic images. In Bookstein FL, Duncan JS, Lange N, Wilson DC, editors, Proceedings of SPIE - The International Society for Optical Engineering. Vol. 2299. Publ by Society of Photo-Optical Instrumentation Engineers. 1994. p. 305-315