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@InProceedings{Aguena:2013:MRItSu,
               author = "Aguena, Marcia Luciana Silva",
          affiliation = "{Federal University of S{\~a}o Carlos}",
                title = "MRI Iterative Super Resolution with Wiener Filter Regularization",
            booktitle = "Proceedings...",
                 year = "2013",
               editor = "Boyer, Kim and Hirata, Nina and Nedel, Luciana and Silva, 
                         Claudio",
         organization = "Conference on Graphics, Patterns and Images, 26. (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "Super-Resolution, Swallowing MRI, Wiener Filter, Conjugate 
                         Gradient, Bayesian Regularization.",
             abstract = "The swallowing process affects several aspects of one's welfare, 
                         as nutrition, hydration, respiration and hearing. Magnetic 
                         resonance imaging (MRI) has been a valuable tool to study 
                         swallowing, since it is a non-invasive procedure that can 
                         dynamically capture the shapes of the tongue and other elements 
                         involved in the process. The resolution enhancement of the MRI 
                         frames support directly diseases diagnoses, helping the visual 
                         analysis, or can be a pre-processing tool to segmentation, 
                         classification, recognition or modelling. MRI frames with better 
                         resolution, with less blurring or noise can be obtained changing 
                         the acquisition process, or using more powerful devices, but the 
                         cost of this solution is higher than applying computational 
                         Super-Resolution (SR) techniques. This paper studies a Bayesian 
                         approach to provide a Wiener filter to regularize the conjugate 
                         gradient solution, and promote an adaptation of an iterative SR 
                         method for non-rigid registration that can be generalized to other 
                         iterative SR methods.",
  conference-location = "Arequipa, Peru",
      conference-year = "Aug. 5-8, 2013",
             language = "en",
           targetfile = "1252148159.pdf",
        urlaccessdate = "2020, Nov. 26"
}


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