@InProceedings{HaeZang:2002:RoAnDi,
               author = "Hae, Yong Kim and Zang, Hee Cho",
                title = "Robust anisotropic diffusion to produce clear statistical 
                         parametric map from noisy fMRI",
            booktitle = "Proceedings...",
                 year = "2002",
               editor = "Gon{\c{c}}alves, Luiz Marcos Garcia and Musse, Soraia Raupp and 
                         Comba, Jo{\~a}o Luiz Dihl and Giraldi, Gilson and Dreux, 
                         Marcelo",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 15. 
                         (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
                 note = "The conference was held in Fortaleza, CE, Brazil, from October 7 
                         to 10.",
             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.",
  conference-location = "Fortaleza, CE, Brazil",
      conference-year = "10-10 Oct. 2002",
                  doi = "10.1109/SIBGRA.2002.1167118",
                  url = "http://dx.doi.org/10.1109/SIBGRA.2002.1167118",
             language = "en",
         organisation = "SBC - Brazilian Computer Society",
                  ibi = "6qtX3pFwXQZeBBx/vRkT6",
                  url = "http://urlib.net/ibi/6qtX3pFwXQZeBBx/vRkT6",
           targetfile = "16.pdf",
        urlaccessdate = "2024, Apr. 28"
}