%0 Conference Proceedings
%4 dpi.inpe.br/ambro/1998/04.17.15.20
%2 sid.inpe.br/banon/2001/03.30.15.55.08
%@isbn 85-244-0103-6
%T The use of MAP estimation techniques in the tomographic reconstruction of Poisson noise corrupted images
%D 1996
%A Mascarenhas, Nelson Delfino d'Ávila,
%A Santos, Saulo Savio Leite,
%A Cruvinel, Paulo Estevão,
%E Velho, Luiz,
%E Albuquerque, Arnaldo de,
%E Lotufo, Roberto A.,
%B Simpósio Brasileiro de Computação Gráfica e Processamento de Imagens, 9 (SIBGRAPI)
%C Caxambu, MG, Brazil
%8 29 Oct.-1 Nov. 1996
%I Sociedade Brasileira de Computação
%J Porto Alegre
%P 197-204
%S Anais
%1 SBC - Sociedade Brasileira de Computação; UFMG - Universidade Federal de Minas Gerais
%X This work presents new methods for the tomographic reconstruction of images with Poisson noise corrupted projections. The reconstruction method is performed by first filtering the noisy projections under the Maximum a Posteriori criterion and subsequently reconstructing the images through conventional filtering-backprojection methods using the ramp filter. The "a priori" knowledge is incorporated by using several densities, including the Gaussian and densities defined on the non-negative real line. These densities were used to denote the fact that the rates of counting on the projections are non-negative quantities. Experimental results, both simulated and real, indicate that, by using the MAP criterion, it is possible to obtain better performance, as compared to conventional methods of reconstruction, with a very small increase in computational effort.
%9 Aplicações em Medicina
%@language en
%3 a17.pdf