@InProceedings{Machado:2005:DeHiSp,
author = "Machado, Alexei Manso Correa",
affiliation = "{Pontif{\'{\i}}cia Universidade Cat{\'o}lica de Minas Gerais}",
title = "True factor analysis in medical imaging: Dealing with
high-dimensional spaces",
booktitle = "Proceedings...",
year = "2005",
editor = "Rodrigues, Maria Andr{\'e}ia Formico and Frery, Alejandro
C{\'e}sar",
organization = "Brazilian Symposium on Computer Graphics and Image Processing, 18.
(SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "Medical imaging, image registration, factor analysis.",
abstract = "This 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. .",
conference-location = "Natal, RN, Brazil",
conference-year = "9-12 Oct. 2005",
doi = "10.1109/SIBGRAPI.2005.50",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2005.50",
language = "en",
ibi = "6qtX3pFwXQZeBBx/H3uPp",
url = "http://urlib.net/ibi/6qtX3pFwXQZeBBx/H3uPp",
targetfile = "machadoa_true.pdf",
urlaccessdate = "2024, Apr. 28"
}