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 language | English |
|---|---|
| Title of host publication | Proceedings of SPIE - The International Society for Optical Engineering |
| Editors | Fred L. Bookstein, James S. Duncan, Nicholas Lange, David C. Wilson |
| Publisher | Publ by Society of Photo-Optical Instrumentation Engineers |
| Pages | 305-315 |
| Number of pages | 11 |
| ISBN (Print) | 0819416231 |
| Publication status | Published - 1994 Dec 1 |
| Event | Mathematical Methods in Medical Imaging III - San Diego, CA, USA Duration: 1994 Jul 25 → 1994 Jul 26 |
Publication series
| Name | Proceedings of SPIE - The International Society for Optical Engineering |
|---|---|
| Volume | 2299 |
| ISSN (Print) | 0277-786X |
Other
| Other | Mathematical Methods in Medical Imaging III |
|---|---|
| City | San Diego, CA, USA |
| Period | 94/7/25 → 94/7/26 |
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All Science Journal Classification (ASJC) codes
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Computer Science Applications
- Applied Mathematics
- Electrical and Electronic Engineering
Cite this
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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. Publ by Society of Photo-Optical Instrumentation Engineers, 1994. p. 305-315 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 2299).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Global approach to multivariate correlation analysis of brain positron emission tomographic images
AU - Lee, Chulhee
AU - Unser, Michael A.
AU - Ketter, Terence A.
PY - 1994/12/1
Y1 - 1994/12/1
N2 - 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.
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.
UR - http://www.scopus.com/inward/record.url?scp=0028741143&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0028741143&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:0028741143
SN - 0819416231
T3 - Proceedings of SPIE - The International Society for Optical Engineering
SP - 305
EP - 315
BT - Proceedings of SPIE - The International Society for Optical Engineering
A2 - Bookstein, Fred L.
A2 - Duncan, James S.
A2 - Lange, Nicholas
A2 - Wilson, David C.
PB - Publ by Society of Photo-Optical Instrumentation Engineers
ER -