Reference TypeConference Proceedings
Citation KeyMachado:2005:DeHiSp
AuthorMachado, Alexei Manso Correa
AffiliationPontifícia Universidade Católica de Minas Gerais
TitleTrue factor analysis in medical imaging: Dealing with high-dimensional spaces
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 18 (SIBGRAPI)
EditorRodrigues, Maria Andréia Formico
Frery, Alejandro César
Book TitleProceedings
Date9-12 Oct. 2005
Publisher CityLos Alamitos
PublisherIEEE Computer Society
Conference LocationNatal
KeywordsMedical imaging, image registration, factor analysis.
AbstractThis article presents a new method for discovering hidden patterns in high-dimensional dataset resulting from image registration. It is based on true factor analysis, a statistical model that aims to find clusters of correlated variables. Applied to medical imaging, factor analysis can potentially identify regions that have anatomic significance and lend insight to knowledge discovery and morphometric investigations related to pathologies. Existent factor analytic methods require the computation of the sample covariance matrix and are thus limited to low-dimensional variable spaces. The proposed algorithm is able to compute the coefficients of the model without the need of the covariance matrix, expanding its spectrum of applications. The method's efficiency and effectiveness is demonstrated in a study of volumetric variability related to the Alzheimer's disease. .
Tertiary TypeFull Paper
Size233 KiB
Number of Files1
Target Filemachadoa_true.pdf
Last Update2005: administrator
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2008-08-26 15:17:03 :: banon -> administrator ::
2009-08-13 20:37:59 :: administrator -> banon ::
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Access Date2020, Nov. 29