@InProceedings{MouraKitn:1989:AuCoAr,
               author = "Moura, L. and Kitney, R.",
          affiliation = "{Coordenadoria de Inform{\'a}tica do Instituto do 
                         Cora{\c{c}}{\~a}o (InCor)} and Biomedical Systems Group - 
                         Imperial College, London, UK.",
                title = "Automatic coronary artery w all contour detection",
            booktitle = "Anais...",
                 year = "1989",
               editor = "Banon, Gerald Jean Francis and Braga, Raul and Carvalho, Jo{\~a}o 
                         Marques de and Cunha, Gilberto Jos{\'e} da and Furuie, 
                         S{\'e}rgio Shiguemi and Gomes, Jonas de Miranda and Hess, Lilia 
                         and Massola, Ant{\^o}nio Marcos Aguirra and Mello, Rubens 
                         Nascimento and Persiano, Ronaldo Marinho and Tozzi, Cl{\'e}sio 
                         Luis",
                pages = "497--506",
         organization = "Simp{\'o}sio Brasileiro de Computa{\c{c}}{\~a}o Gr{\'a}fica e 
                         Processamento de Imagens, 2. (SIBGRAPI)",
            publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
              address = "Porto Alegre",
             keywords = "contour detection, automatic coronary artery, image processing 
                         technique.",
             abstract = "The paper describes an image processing technique for the 
                         detection and labelling of arterial wall contours from 
                         cross-sectional slides in pathology. A gradient operator is 
                         applied to the digitised image and generates points of interest at 
                         likely edges. These points are then used as starting points for a 
                         contour follower algorithm leading to the formation of 
                         one-pixel-wide line segments. Heuristic search is used to loca te 
                         closed sets of segments. A cost-funtion is used which is minimised 
                         by a circle so that the algorithm tends to find roundish 
                         structures. Further processing involves closed curve filtering and 
                         con textual contour labelling. Results have shown that the 
                         method's strength lies in its ability to correctly find the wall 
                         contours even when major gaps are present, provided that some long 
                         segments are formed. The method is suitable for locating and 
                         labelling other round-shaped structures such as blood vessel 
                         cross-sections and cell outlines.",
  conference-location = "{\'A}guas de Lind{\'o}ia, SP, Brazil",
      conference-year = "26-28 Apr. 1989",
                 isbn = "978-85-7669-267-6",
             language = "en",
                  ibi = "8JMKD3MGPBW34M/3CH2FSP",
                  url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3CH2FSP",
           targetfile = "51 AUTOMATIC CORONARY ARTERY WALL CONTOUR DETECTION.pdf",
                 type = "Imagens M{\'e}dicas (relat{\'o}rios de projeto)",
        urlaccessdate = "2024, May 03"
}