1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 6qtX3pFwXQZeBBx/vRkT6 |
Repository | sid.inpe.br/banon/2002/10.23.10.13 |
Last Update | 2002:08.29.03.00.00 (UTC) administrator |
Metadata Repository | sid.inpe.br/banon/2002/10.23.10.13.53 |
Metadata Last Update | 2022:06.14.00.11.42 (UTC) administrator |
DOI | 10.1109/SIBGRA.2002.1167118 |
Citation Key | HaeZang:2002:RoAnDi |
Title | Robust anisotropic diffusion to produce clear statistical parametric map from noisy fMRI |
Year | 2002 |
Access Date | 2024, Apr. 28 |
Number of Files | 1 |
Size | 79 KiB |
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2. Context | |
Author | 1 Hae, Yong Kim 2 Zang, Hee Cho |
Editor | Gonçalves, Luiz Marcos Garcia Musse, Soraia Raupp Comba, João Luiz Dihl Giraldi, Gilson Dreux, Marcelo |
Conference Name | Brazilian Symposium on Computer Graphics and Image Processing, 15 (SIBGRAPI) |
Conference Location | Fortaleza, CE, Brazil |
Date | 10-10 Oct. 2002 |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Book Title | Proceedings |
Tertiary Type | Full Paper |
Organization | SBC - 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 |
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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 |
Abstract | Functional 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 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2002 > Robust anisotropic diffusion... |
Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > Robust anisotropic diffusion... |
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/vRkT6 |
zipped data URL | http://urlib.net/zip/6qtX3pFwXQZeBBx/vRkT6 |
Language | en |
Target File | 16.pdf |
User Group | administrator |
Visibility | shown |
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5. Allied materials | |
Next Higher Units | 8JMKD3MGPEW34M/46QCSHP 8JMKD3MGPEW34M/4742MCS |
Citing Item List | sid.inpe.br/sibgrapi/2022/05.01.04.11 6 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
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6. Notes | |
Notes | The conference was held in Fortaleza, CE, Brazil, from October 7 to 10. |
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