@InProceedings{RubianesSilvaWuSuar:2016:InViCr,
               author = "Rubianes Silva, Jos{\'e} Angel Iv{\'a}n and Wu, Shin-Ting and 
                         Suarez Burgos, Fabio Enrique",
                title = "Interactive Visualization of the Cranio-Cerebral Correspondences 
                         for 10/20, 10/10 and 10/5 Systems",
            booktitle = "Proceedings...",
                 year = "2016",
               editor = "Aliaga, Daniel G. and Davis, Larry S. and Farias, Ricardo C. and 
                         Fernandes, Leandro A. F. and Gibson, Stuart J. and Giraldi, Gilson 
                         A. and Gois, Jo{\~a}o Paulo and Maciel, Anderson and Menotti, 
                         David and Miranda, Paulo A. V. and Musse, Soraia and Namikawa, 
                         Laercio and Pamplona, Mauricio and Papa, Jo{\~a}o Paulo and 
                         Santos, Jefersson dos and Schwartz, William Robson and Thomaz, 
                         Carlos E.",
         organization = "Conference on Graphics, Patterns and Images, 29. (SIBGRAPI)",
            publisher = "IEEE Computer Society´s Conference Publishing Services",
              address = "Los Alamitos",
             keywords = "International 10/5, 10/10, 10/20 systems, EEG and MRI 
                         co-registration, GPU-based multimodal rendering, Image 
                         processing.",
             abstract = "Electroencephalogram (EEG) is a method that records electrical 
                         activities of the brain. Reliable interpretation of its 
                         measurements rely on accurate correspondence of the scalp 
                         electrodes and the underlying cortical surface. To standardize 
                         comparative studies international 10/20, 10/10 and 10/5 systems 
                         for the placement of electrodes have been proposed to specify the 
                         locations of scalp EEG sensors under the assumption that there is 
                         a consistent correlation between these sites and the structure of 
                         the cerebral cortex. However, several studies have demonstrated 
                         that the cranio-cerebral correlations vary greatly. For enhancing 
                         the electrophysiological analyses, an algorithm is presented in 
                         this paper, allowing the multimodal visualization of EEG and 
                         magnetic resonance scan in the patients native space. The key to 
                         our solution is twofold: an interactive imagebased electrode 
                         placement algorithm and an extended GPU-based multimodal 
                         raycasting algorithm. Experimental results show that with the 
                         present tool one can easily assess the cranio-cerebral 
                         correspondences even when the brain tissue is displaced by 
                         structural lesions.",
  conference-location = "S{\~a}o Jos{\'e} dos Campos, SP, Brazil",
      conference-year = "4-7 Oct. 2016",
                  doi = "10.1109/SIBGRAPI.2016.065",
                  url = "http://dx.doi.org/10.1109/SIBGRAPI.2016.065",
             language = "en",
                  ibi = "8JMKD3MGPAW/3M75NNS",
                  url = "http://urlib.net/ibi/8JMKD3MGPAW/3M75NNS",
           targetfile = "149.pdf",
        urlaccessdate = "2024, May 03"
}