%0 Conference Proceedings
%4 sid.inpe.br/sibgrapi/2015/07.31.16.38
%2 sid.inpe.br/sibgrapi/2015/07.31.16.38.36
%T Curvilinear Reformatting in Native Space based on Mesh Zippering and Offsetting
%D 2015
%A Loos, Wallace Souza,
%A Shin-Ting, Wu,
%@affiliation University of Campinas (UNICAMP)
%@affiliation University of Campinas (UNICAMP)
%E Segundo, Maurício Pamplona,
%E Faria, Fabio Augusto,
%B Conference on Graphics, Patterns and Images, 28 (SIBGRAPI)
%C Salvador, BA, Brazil
%8 26-29 Aug. 2015
%I Sociedade Brasileira de Computação
%J Porto Alegre
%S Proceedings
%K zippering, depth-map, curvilinear reformatting, fo- cal cortical dysplasia (FCD).
%X Most curvilinear reformatting algorithms are not processed on native space, which makes them inappropriate to be used for neuronavigation purposes. In this work, we present an interactive curvilinear reformatting algorithm that is performed in native space. The user selects the desired regions. Then, they are sampled in order to build their corresponding meshes, which are representations of the selected regions. A single complete mesh is formed by zippering the meshes that overlap each other. After that, we use an offset algorithm to crop the region corresponding to the complete mesh. In this work we present two algorithms: the zippering and the offset algorithms, which allow us to do larger crops in the brain in interactive time.
%@language en
%3 wtd_paper_wallace.pdf