%0 Conference Proceedings
%4 sid.inpe.br/banon/2004/10.04.21.53
%2 sid.inpe.br/banon/2004/10.04.21.53.24
%@doi 10.1109/SIBGRA.2004.1352937
%T Segmentation of Clinical Structures from Images of the Human Pelvic Area
%D 2004
%A Camapum, Juliana Fernandes,
%A Silva, Alzenir O.,
%A Freitas, Alan N.,
%A Bassani, Hansenclever de F.,
%A Freitas, Flávia Mendes O.,
%@affiliation Universidade de Brasília, Departamento de Engenharia Elétrica,
%E Albuquerque, Ara?Arnaldo de,
%E Comba, Jo?Luiz Dihl,
%E Navazo, Isabel,
%E Sousa, Ant? Augusto de,
%B Brazilian Symposium on Computer Graphics and Image Processing, 17 (SIBGRAPI) - Ibero-American Symposium on Computer Graphics, 2 (SIACG)
%C Curitiba, PR, Brazil
%8 17-20 Oct. 2004
%I IEEE Computer Society
%J Los Alamitos
%S Proceedings
%K segmentation, watershed transform, medical image.
%X The radiotherapy treatment planning requires the delineation of the therapy structures that will be submitted to the radiation beams. When executed manually, this delineation is a slow process and can result in human errors due to the amount of X-ray Computed Tomography (CT) images that are analyzed in each radiotherapy planning. This process needs precision, minimizing the radiation on healthy areas, close to the target tissues. A new system for automatic segmentation of images of clinical structures is proposed in this work. The algorithm is based on multi-region growing followed by watershed transform. The main contributions are the method of seed pixels selection and predicate of the multi-region growing algorithm and the segmentation results achieved. The system was tested in 400 images and its efficiency was measured by two different statistical methods, correlation and the t-test. The clinical structures of interest are the rectum, bladder and seminal vesicles.
%@language en
%3 4164_camapum_j.pdf