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Reference TypeConference Paper (Conference Proceedings)
Last Update2015: (UTC)
Metadata Last Update2016: (UTC) administrator
Citation KeyLoosShin:2015:CuReNa
TitleCurvilinear Reformatting in Native Space based on Mesh Zippering and Offsetting
Access Date2021, Dec. 03
Secondary TypeMaster's Work
Number of Files1
Size4597 KiB
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Author1 Loos, Wallace Souza
2 Shin-Ting, Wu
Affiliation1 University of Campinas (UNICAMP)
2 University of Campinas (UNICAMP)
EditorSegundo, Maurício Pamplona
Faria, Fabio Augusto
Conference NameConference on Graphics, Patterns and Images, 28 (SIBGRAPI)
Conference LocationSalvador
DateAug. 26-29, 2015
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Book TitleProceedings
Tertiary TypeMaster's or Doctoral Work
History (UTC)2015-07-31 16:38:36 :: -> administrator ::
2016-06-03 21:18:37 :: administrator -> :: 2015
Content and structure area
Is the master or a copy?is the master
Content Stagecompleted
curvilinear reformatting
fo- cal cortical dysplasia (FCD)
AbstractMost 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. > SDLA > SIBGRAPI 2015 > Curvilinear Reformatting in...
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