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@InProceedings{MartinsMasc:2011:SpReEn,
               author = "Martins, Ana Lu{\'{\i}}sa Dine and Mascarenhas, Nelson Delfino 
                         d'{\'A}vila",
          affiliation = "{Universidade Federal de S{\~a}o Carlos} and {Universidade 
                         Federal de S{\~a}o Carlos}",
                title = "Spatio-temporal resolution enhancement of vocal tract MRI 
                         sequences based on the Wiener filter",
            booktitle = "Proceedings...",
                 year = "2011",
               editor = "Lewiner, Thomas and Torres, Ricardo",
         organization = "Conference on Graphics, Patterns and Images, 24. (SIBGRAPI)",
            publisher = "IEEE Computer Society Conference Publishing Services",
              address = "Los Alamitos",
             keywords = "magnetic resonance imaging (MRI), human speech production 
                         research, spatio-temporal resolution enhancement, super-resolution 
                         image reconstruction.",
             abstract = "Research on human speech production is highly dependent upon 
                         information about the position and movements of the speech 
                         articulators. Dynamic magnetic resonance imaging (MRI) has been 
                         the main tool to support this process. With this technique, image 
                         sequences can be acquired in the act of speech, which allows 
                         identifying shapes of the vocal tract in real time. However, the 
                         spatial and temporal resolution requirements are not known a 
                         priori and are expected to vary according to the speech task. 
                         Several available approaches enhance resolution by either changing 
                         the acquisition process of current devices, or by trading the 
                         acquisition devices themselves by more powerful ones. Both 
                         solutions involve additional hardware costs. In this paper, we 
                         propose an evolution of an approach to enhance spatio-temporal 
                         resolution of MRI image sequences of the vocal tract using only 
                         digital image processing techniques. On one hand, temporal 
                         resolution is increased by generating intermediate images 
                         according to the movement present in an observed sequence. On the 
                         other hand, spatial resolution is increased by applying a novel 
                         approach to super-resolution image reconstruction based on the 
                         Wiener filter. To evaluate the proposed approach, we processed a 
                         set of five simulated low resolution images in a sequence. 
                         Compared to available methods, results provide evidence of the 
                         effectiveness of the proposed method.",
  conference-location = "Macei{\'o}",
      conference-year = "Aug. 28 - 31, 2011",
             language = "en",
           targetfile = "Sibgrapi2011.pdf",
        urlaccessdate = "2019, Dec. 07"
}


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