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@InProceedings{FreitasRittAppeLotu:2011:WaSeMi,
               author = "Freitas, Pedro Ferro and Rittner, Leticia and Appenzeller, Simone 
                         and Lotufo, Roberto de Alencar",
          affiliation = "School of Electrical and Computer Engineering, University of 
                         Campinas - UNICAMP and School of Electrical and Computer 
                         Engineering, University of Campinas - UNICAMP and Department of 
                         Medicine, Rheumatology Unit, University of Campinas - UNICAMP and 
                         School of Electrical and Computer Engineering, University of 
                         Campinas - UNICAMP",
                title = "Watershed-based segmentation of the midsagittal section of the 
                         corpus callosum in diffusion MRI",
            booktitle = "Proceedings...",
                 year = "2011",
               editor = "Lewiner, Thomas and Torres, Ricardo",
         organization = "Conference on Graphics, Patterns and Images, 24. (SIBGRAPI)",
            publisher = "IEEE Computer Society Conference Publishing Services",
              address = "Los Alamitos",
             keywords = "corpus callosum, fractional anisotropy, diffusion tensor imaging, 
                         magnetic resonance image, segmentation, watershed transform.",
             abstract = "The corpus callosum (CC) is one of the most important white matter 
                         structures of the brain, interconnecting the two cerebral 
                         hemispheres. The corpus callosum is related to several 
                         neurodegenerative diseases and, as segmentation is usually the 
                         first step for studies in this structure, it is important to have 
                         a robust method for CC segmentation. We propose here a new 
                         approach for fully automatic segmentation of the CC in the 
                         magnetic resonance diffusion tensor images. The method uses the 
                         watershed transform and is performed on the fractional anisotropy 
                         (FA) map weighted by the projection of the principal eigenvector 
                         in the left-right direction. It first computes the section of the 
                         CC in the midsagittal slice and uses it as a seed for the 3D 
                         volume segmentation. Experiments with real diffusion MRI data 
                         showed that the proposed method is able to quickly segment the CC 
                         without any user intervention, with great results when compared to 
                         manual segmentation. Since it is simple, fast and does not require 
                         parameter settings, the proposed method is well suited for 
                         clinical applications.",
  conference-location = "Macei{\'o}",
      conference-year = "Aug. 28 - 31, 2011",
             language = "en",
           targetfile = "example.pdf",
        urlaccessdate = "2019, Dec. 09"
}


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