%0 Conference Proceedings
%T Unraveling the Compromise Between Skull Stripping and Inhomogeneity Correction in 3T MR Images
%D 2012
%A Cappabianco, Fábio Augusto Menocci,
%A Miranda, Paulo Andre Vechiatto de,
%A Ide, Jaime Shinsuke,
%A Yasuda, Clarissa Lin,
%A Falcão, Alexandre Xavier,
%@affiliation Instituto de Ciência e Tecnologia - Universidade Federal de São Paulo
%@affiliation Institute of Mathematics and Statistics - University of São Paulo
%@affiliation Instituto de Ciência e Tecnologia - Universidade Federal de São Paulo
%@affiliation School of Medical Science - University of Campinas
%@affiliation Institute of Computing - University of Campinas
%E Freitas, Carla Maria Dal Sasso,
%E Sarkar, Sudeep,
%E Scopigno, Roberto,
%E Silva, Luciano,
%B Conference on Graphics, Patterns and Images, 25 (SIBGRAPI)
%C Ouro Preto
%8 Aug. 22-25, 2012
%S Proceedings
%I IEEE Computer Society
%J Los Alamitos
%K Segmentation, Brain Magnetic Resonance Imaging, Inhomogeneity/Bias Correction, Standardization, Skull Stripping.
%X Bias 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.
%@language en
%3 PID2492745.pdf