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Reference TypeConference Paper (Conference Proceedings)
Last Update2012:
Metadata Last Update2020: administrator
Citation KeyCappabiancoMirIdeYasFal:2012:UnCoSk
TitleUnraveling the Compromise Between Skull Stripping and Inhomogeneity Correction in 3T MR Images
FormatDVD, On-line.
Access Date2021, Jan. 26
Number of Files1
Size4779 KiB
Context area
Author1 Cappabianco, Fábio Augusto Menocci
2 Miranda, Paulo Andre Vechiatto de
3 Ide, Jaime Shinsuke
4 Yasuda, Clarissa Lin
5 Falcão, Alexandre Xavier
Affiliation1 Instituto de Ciência e Tecnologia - Universidade Federal de São Paulo
2 Institute of Mathematics and Statistics - University of São Paulo
3 Instituto de Ciência e Tecnologia - Universidade Federal de São Paulo
4 School of Medical Science - University of Campinas
5 Institute of Computing - University of Campinas
EditorFreitas, Carla Maria Dal Sasso
Sarkar, Sudeep
Scopigno, Roberto
Silva, Luciano
Conference NameConference on Graphics, Patterns and Images, 25 (SIBGRAPI)
Conference LocationOuro Preto
DateAug. 22-25, 2012
Book TitleProceedings
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Tertiary TypeFull Paper
History2012-09-20 16:45:34 :: -> administrator :: 2012
2020-02-19 02:18:29 :: administrator -> :: 2012
Content and structure area
Is the master or a copy?is the master
Content Stagecompleted
Content TypeExternal Contribution
KeywordsSegmentation, Brain Magnetic Resonance Imaging, Inhomogeneity/Bias Correction, Standardization, Skull Stripping.
AbstractBias field (inhomogeneity) correction and skull stripping are initial standard procedures in medical image analysis of the human brain. Several works have investigated the effects of prior inhomogeneity correction on skull stripping using 1.5 Tesla magnetic resonance (MR) images, but this question remains unanswered for higher magnetic fields. This paper fills this gap using 3 Tesla MR-images, by proposing a novel alternate sequence of skull stripping, morphological operations, inhomogeneity correction and intensity standardization, with the first at the beginning and end of the sequence, denominated Iterative Skull Stripping methodology. Conversely to what happens in 1.5T images, experimental evaluation shows that, in 3 Tesla datasets, inhomogeneity effect plays an important role in stripping the brain. This observation produces a deep impact on previous and future studies that rely on skull stripping operation.
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