@InProceedings{FuruieJarRebParGut:1997:SeMiVe,
               author = "Furuie, S{\'e}rgio Shiguemi and Jara, Griselda Ester and Rebelo, 
                         Marina F. S. and Parzianello, Luiz Cl{\'a}udio and Gutierrez, 
                         Marco Ant{\^o}nio",
                title = "Segmenta{\c{c}}{\~a}o do mioc{\'a}rdio do ventr{\'{\i}}culo 
                         esquerdo em resson{\^a}ncia magn{\'e}tica",
            booktitle = "Proceedings...",
                 year = "1997",
               editor = "Figueiredo, Luiz Henrique de and Netto, Marcio Lobo",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 10. 
                         (SIBGRAPI)",
            publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
              address = "Porto Alegre",
                 note = "The conference was held in Campos de Jord{\~a}o, SP, Brazil, from 
                         October 13 to 16.",
             keywords = "image segmentation, left ventricle, mri.",
             abstract = "A truly 3D technique for segmentation of left ventricle (LV) 
                         myocardium in MRI is presented, based on fuzzy connectedness and 
                         incorporation of voxels with minimum cost. Direct segmentation of 
                         LV muscle based only on intensity or texture is difficult because 
                         of inhomegeneity and background with similar characteristics. We 
                         propose a two step technique: first, segmentation of LV cavity and 
                         then an orderly search of LV muscle keeping roughly the 
                         endocardium morphology. The LV cavity is extracted in all volumes 
                         applying competitive fuzzy connectedness between cavity and 
                         myocardium. From the endocardium surface, connected voxels with 
                         minimum insertion cost and below a given limit are incorporated in 
                         an orderly fashion (layers), emulating a balloon expansion model. 
                         The cost function for incorporating a voxel has three components: 
                         a) spatial gradient to avoid other objects with distinct 
                         boundaries; b) textures to allow some local inhomogeneities; c) 
                         shape similarity to the endocardium surface in order to restrict 
                         leaking to other organs with similar texture. Studies with 
                         phantoms (contrast=48 %) were carried out and presented good 
                         results (less than 6 % of misclassified voxels) for SNR up to 12 
                         dB (Gaussian noise). The proposed technique was also applied to 
                         gated-MRI of heart, closely matching manually segmented LV 
                         myocardium in images with good quality.",
  conference-location = "Campos de Jord{\~a}o, SP, Brazil",
      conference-year = "Oct. 1997",
         organisation = "SBC - Sociedade Brasileira de Computa{\c{c}}{\~a}o; USP - 
                         Universidade de S{\~a}o Paulo",
                  ibi = "83LX3pFwXQZW44Lb/doULg",
                  url = "http://urlib.net/ibi/83LX3pFwXQZW44Lb/doULg",
           targetfile = "art64.pdf",
        urlaccessdate = "2024, May 03"
}