@InProceedings{FavrettoBergFalc:2008:FaAuMe,
               author = "Favretto, Fernanda Oliveira and Bergo, Felipe Paulo Guazzi and 
                         Falc{\~a}o, Alexandre Xavier",
          affiliation = "{LIV - Instituto de Computa{\c{c}}{\~a}o - Unicamp} and {LIV - 
                         Instituto de Computa{\c{c}}{\~a}o - Unicamp} and {LIV - 
                         Instituto de Computa{\c{c}}{\~a}o - Unicamp}",
                title = "A Fast and Automatic Method for 3D Rigid Registration of MR Images 
                         of the Human Brain",
            booktitle = "Proceedings...",
                 year = "2008",
               editor = "Jung, Cl{\'a}udio Rosito and Walter, Marcelo",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 21. 
                         (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "Registration, Image Processing, Medical Image Analysis.",
             abstract = "Image registration is an important problem with several 
                         applications in Medical Imaging. Intra-subject rigid registration 
                         requires a minimal set of parameters to be computed, and is 
                         sufficient for organs with no significant movement or deformation, 
                         such as the human brain. Rigid registration has also been used as 
                         the first step before inter-subject deformable registration. In 
                         this paper we present a fast and automatic method for 3D rigid 
                         registration of magnetic resonance images of the human brain. The 
                         method combines previous approaches for mid-sagittal plane 
                         location and brain segmentation with a greedy-search algorithm to 
                         find the best match between source and target images. We evaluated 
                         the method on 200 image pairs: 100 without structural 
                         abnormalities and 100 with artificially created lesions, such that 
                         it was possible to quantify the registration errors. The method 
                         achieved very accurate registration within a few seconds.",
  conference-location = "Campo Grande, MS, Brazil",
      conference-year = "12-15 Oct. 2008",
                  doi = "10.1109/SIBGRAPI.2008.33",
                  url = "http://dx.doi.org/10.1109/SIBGRAPI.2008.33",
             language = "en",
                  ibi = "6qtX3pFwXQZG2LgkFdY/UNg7A",
                  url = "http://urlib.net/ibi/6qtX3pFwXQZG2LgkFdY/UNg7A",
           targetfile = "favretto-registration.pdf",
        urlaccessdate = "2024, Apr. 29"
}