1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 6qtX3pFwXQZeBBx/H3uPp |
Repository | sid.inpe.br/banon/2005/08.03.15.07 |
Last Update | 2005:08.03.03.00.00 (UTC) administrator |
Metadata Repository | sid.inpe.br/banon/2005/08.03.15.07.47 |
Metadata Last Update | 2022:06.14.00.13.08 (UTC) administrator |
DOI | 10.1109/SIBGRAPI.2005.50 |
Citation Key | Machado:2005:DeHiSp |
Title | True factor analysis in medical imaging: Dealing with high-dimensional spaces |
Format | On-line |
Year | 2005 |
Access Date | 2024, Apr. 28 |
Number of Files | 1 |
Size | 233 KiB |
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2. Context | |
Author | Machado, Alexei Manso Correa |
Affiliation | Pontifícia Universidade Católica de Minas Gerais |
Editor | Rodrigues, Maria Andréia Formico Frery, Alejandro César |
e-Mail Address | alexei@pucminas.br |
Conference Name | Brazilian Symposium on Computer Graphics and Image Processing, 18 (SIBGRAPI) |
Conference Location | Natal, RN, Brazil |
Date | 9-12 Oct. 2005 |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Book Title | Proceedings |
Tertiary Type | Full Paper |
History (UTC) | 2008-07-17 14:11:01 :: alexeimachado -> banon :: 2008-08-26 15:17:03 :: banon -> administrator :: 2009-08-13 20:37:59 :: administrator -> banon :: 2010-08-28 20:01:20 :: banon -> administrator :: 2022-06-14 00:13:08 :: administrator -> :: 2005 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Version Type | finaldraft |
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. . |
Arrangement 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2005 > True factor analysis... |
Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > True factor analysis... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | there are no files |
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4. Conditions of access and use | |
data URL | http://urlib.net/ibi/6qtX3pFwXQZeBBx/H3uPp |
zipped data URL | http://urlib.net/zip/6qtX3pFwXQZeBBx/H3uPp |
Language | en |
Target File | machadoa_true.pdf |
User Group | alexeimachado administrator |
Visibility | shown |
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5. Allied materials | |
Next Higher Units | 8JMKD3MGPEW34M/46R3ED5 8JMKD3MGPEW34M/4742MCS |
Citing Item List | sid.inpe.br/sibgrapi/2022/05.05.04.08 5 sid.inpe.br/banon/2001/03.30.15.38.24 2 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
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6. Notes | |
Empty Fields | archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage edition electronicmailaddress group isbn issn label lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume |
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