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@InProceedings{BorgesViei:2018:DoSaDi,
               author = "Borges, Lucas Rodrigues and Vieira, Marcelo Andrade da Costa",
          affiliation = "{Escola de Engenharia de S{\~a}o Carlos} and {Escola de 
                         Engenharia de S{\~a}o Carlos}",
                title = "Dose Savings in Digital Breast Tomosynthesis through Image 
                         Processing",
            booktitle = "Proceedings...",
                 year = "2018",
               editor = "Ross, Arun and Gastal, Eduardo S. L. and Jorge, Joaquim A. and 
                         Queiroz, Ricardo L. de and Minetto, Rodrigo and Sarkar, Sudeep and 
                         Papa, Jo{\~a}o Paulo and Oliveira, Manuel M. and Arbel{\'a}ez, 
                         Pablo and Mery, Domingo and Oliveira, Maria Cristina Ferreira de 
                         and Spina, Thiago Vallin and Mendes, Caroline Mazetto and Costa, 
                         Henrique S{\'e}rgio Gutierrez and Mejail, Marta Estela and Geus, 
                         Klaus de and Scheer, Sergio",
         organization = "Conference on Graphics, Patterns and Images, 31. (SIBGRAPI)",
            publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
              address = "Porto Alegre",
             keywords = "Denoising, noise model, restoration, dose reduction, digital 
                         mammography.",
             abstract = "In x-ray imaging, the ALARA principle defines that the x-ray 
                         radiation must be kept as low as reasonably achievable to ensure 
                         the patients safety. However, low-dose acquisitions yield images 
                         with low quality, which affect the radiologists image 
                         interpretation. Therefore, there is a compromise between image 
                         quality and radiation dose. This work proposes an image 
                         restoration framework capable of restoring low-dose acquisitions 
                         to achieve the quality of full-dose acquisitions. The contribution 
                         of the new method includes the capability of restoring images with 
                         quantum and electronic noise, pixel offset and variable detector 
                         gain. To validate the image processing chain, a simulation 
                         algorithm was proposed. The simulation generates low-dose digital 
                         breast tomosynthesis (DBT) projections, starting from full-dose 
                         images. To investigate the feasibility of reducing the radiation 
                         dose in breast cancer screening programs, a simulated pre-clinical 
                         trial was conducted using the simulation and the image processing 
                         pipeline proposed in this work. Objective and subjective results 
                         suggest that reduction of 30% - 50% in radiation dose could be 
                         achieved after the proposed image processing pipeline was applied. 
                         Thus, the image processing algorithm has the potential to decrease 
                         radiation levels in DBT, also decreasing the cancer induction 
                         risks associated with the exam.",
  conference-location = "Foz do Igua{\c{c}}u, PR, Brazil",
      conference-year = "Oct. 29 - Nov. 1, 2018",
             language = "en",
                  ibi = "8JMKD3MGPAW/3S4T2QE",
                  url = "http://urlib.net/rep/8JMKD3MGPAW/3S4T2QE",
           targetfile = "Submission_Lucas_30_07.pdf",
        urlaccessdate = "2020, Nov. 25"
}


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