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@InProceedings{AssisSalvMascLeva:2015:PrPo,
               author = "Assis, Vinicius Covre de and Salvadeo, Denis Henrique Pinheiro and 
                         Mascarenhas, Nelson Delfino d'{\'A}vila and Levada, Alexandre 
                         Lu{\'{\i}}s Magalh{\~a}es",
          affiliation = "{State University of S{\~a}o Paulo} and {State University of 
                         S{\~a}o Paulo} and {Faculdade Campo Limpo Paulista} and {Federal 
                         University of Sa \̃o Carlos}",
                title = "Double Noise Filtering in CT: Pre- and Post-Reconstruction",
            booktitle = "Proceedings...",
                 year = "2015",
               editor = "Papa, Jo{\~a}o Paulo and Sander, Pedro Vieira and Marroquim, 
                         Ricardo Guerra and Farrell, Ryan",
         organization = "Conference on Graphics, Patterns and Images, 28. (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "computed tomography (CT), double denoising.",
             abstract = "Motivated by the ALARA (As Low As Reasonably Achievable) 
                         principle, this paper proposes to denoise Computed Tomography (CT) 
                         images by using a double-filtering approach. First, projection 
                         data were filtered using methods to filter Poisson noise 
                         (pre-filtering step). Then the filtered backprojection (FBP) 
                         algorithm was applied to image reconstruction. After, the 
                         reconstructed images were denoised by using suitable methods for 
                         filtering Gaussian noise (post-filtering step). Finally, known 
                         metrics of image quality evaluation (such as SSIM and PSNR) were 
                         used to compare the filtered images with the ones considered ideal 
                         images in various combinations of filters. The results lead to the 
                         conclusion that a second filtering applied on image domain can 
                         improve the CT denoising quality from pre-filtering step. Thus, CT 
                         double-filtering strategy achieved a better balance between noise 
                         reduction and details preservation.",
  conference-location = "Salvador",
      conference-year = "Aug. 26-29, 2015",
             language = "en",
           targetfile = "PID3771603.pdf",
        urlaccessdate = "2021, Nov. 28"
}


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