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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier6qtX3pFwXQZeBBx/vRkT6
Repositorysid.inpe.br/banon/2002/10.23.10.13
Last Update2002:08.29.03.00.00 (UTC) administrator
Metadata Repositorysid.inpe.br/banon/2002/10.23.10.13.53
Metadata Last Update2022:06.14.00.11.42 (UTC) administrator
DOI10.1109/SIBGRA.2002.1167118
Citation KeyHaeZang:2002:RoAnDi
TitleRobust anisotropic diffusion to produce clear statistical parametric map from noisy fMRI
Year2002
Access Date2024, Apr. 28
Number of Files1
Size79 KiB
2. Context
Author1 Hae, Yong Kim
2 Zang, Hee Cho
EditorGonçalves, Luiz Marcos Garcia
Musse, Soraia Raupp
Comba, João Luiz Dihl
Giraldi, Gilson
Dreux, Marcelo
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 15 (SIBGRAPI)
Conference LocationFortaleza, CE, Brazil
Date10-10 Oct. 2002
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
OrganizationSBC - Brazilian Computer Society
History (UTC)2008-07-17 14:10:45 :: administrator -> banon ::
2008-08-26 15:21:20 :: banon -> administrator ::
2009-08-13 20:36:31 :: administrator -> banon ::
2010-08-28 20:00:05 :: banon -> administrator ::
2022-06-14 00:11:42 :: administrator -> :: 2002
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
AbstractFunctional magnetic resonance imaging (fMRI) uses MRI to noninvasively map areas of increased neuronal activity in human brain without the use of an exogenous contrast agent. Low signal-to-noise ratio of fMRI images makes it necessary to use sophisticated image processing techniques, such as statistical parametric map (SPM), to detect activated brain areas. This paper presents a new technique to obtain clear SPM from noisy fMRI data. It is based on the robust anisotropic diffusion. A direct application of the anisotropic diffusion to fMRI does not work, mainly due to the lack of sharp boundaries between activated and non-activated regions. To overcome this difficulty, we propose to calculate SPM from noisy fMRI, compute diffusion coefficients in the SPM space, and then perform the diffusion in fMRI images using the coefficients previously computed. These steps are iterated until the convergence. Experimental results using the new technique yielded surprisingly sharp and noiseless SPMs.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2002 > Robust anisotropic diffusion...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Robust anisotropic diffusion...
doc Directory Contentaccess
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/6qtX3pFwXQZeBBx/vRkT6
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZeBBx/vRkT6
Languageen
Target File16.pdf
User Groupadministrator
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46QCSHP
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.01.04.11 6
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
NotesThe conference was held in Fortaleza, CE, Brazil, from October 7 to 10.
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