@InProceedings{EskildsenØste:2008:EvFiAl,
               author = "Eskildsen, Simon Fristed and Østergaard, Lasse Riis",
          affiliation = "Dept. of Health Science and Technology, Aalborg University and 
                         Dept. of Health Science and Technology, Aalborg University",
                title = "Evaluation of five algorithms for mapping brain cortical 
                         surfaces",
            booktitle = "Proceedings...",
                 year = "2008",
               editor = "Jung, Cl{\'a}udio Rosito and Walter, Marcelo",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 21. 
                         (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "Cerebral cortex, surface mapping, MRI.",
             abstract = "With the increasing resolution and contrast of brain imaging 
                         devices automatic segmentation and quantification of the human 
                         cerebral cortex have grown popular for morphological analyses. The 
                         tightly folded cortex is often modeled with surfaces in 3D, and 
                         morphological features, such as the cortical thickness, can be 
                         calculated. In order to average and compare such morphological 
                         features within groups of subjects, mappings between the highly 
                         diverse cortical surfaces are needed. In this paper we evaluate 
                         five algorithms for mapping between discrete polygonal surfaces of 
                         cortices. Among the evaluated algorithms we include a new 
                         algorithm based on a functional expressing similarity between 
                         geometrical features. Four numerical mapping criteria, a landmark 
                         test, and statistical maps are used to evaluate the mapping 
                         algorithms. We show that the accuracy of manually placed landmarks 
                         are difficult to reproduce automatically, and the choice of 
                         mapping algorithm impacts the conclusions drawn from statistical 
                         maps generated by use of the algorithm. In terms of landmark 
                         accuracy, a spherical mapping approach with non-linear 
                         optimization is shown to be the best of the tested algorithms.",
  conference-location = "Campo Grande, MS, Brazil",
      conference-year = "12-15 Oct. 2008",
                  doi = "10.1109/SIBGRAPI.2008.16",
                  url = "http://dx.doi.org/10.1109/SIBGRAPI.2008.16",
             language = "en",
                  ibi = "6qtX3pFwXQZG2LgkFdY/UPPp9",
                  url = "http://urlib.net/ibi/6qtX3pFwXQZG2LgkFdY/UPPp9",
           targetfile = "eskildsen-CorticalMapping.pdf",
        urlaccessdate = "2024, Apr. 27"
}