title: Segmentation of T1 MR scans for reconstruction of resistive head models.
abstract: This paper describes a segmentation method primarily developed for reconstructing resistive head models for electroencephalographic modelling purposes. The method was implemented by combining several image processing techniques, such as amplitude segmentation, region growing, and image fusion. Also a graphical user interface was developed to enable semiautomatic approach to the segmentation process. This method was developed especially for segmentation of the brain and skull from T1-weighted magnetic resonance images, but can also be applied in any segmentation procedure. The entire project was implemented successfully in a PC-based computer running the Unix/NeXTstep operating system.
authors.affiliation: Ragnar Granit Institute, Tampere University of Technology, Tampere, Finland. tomi@ee.tut.fi
authors.forename: T
authors.initials: T
authors.lastname: Heinonen
authors.forename: H
authors.initials: H
authors.lastname: Eskola
authors.forename: P
authors.initials: P
authors.lastname: Dastidar
authors.forename: P
authors.initials: P
authors.lastname: Laarne
authors.forename: J
authors.initials: J
authors.lastname: Malmivuo
mesh_terms: D000465:Algorithms; D001921:Brain / Q000033:anatomy & histology*; D004569:Electroencephalography; D006257:Head / Q000033:anatomy & histology; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000295:instrumentation / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods; D008953:Models, Anatomic; D012886:Skull / Q000033:anatomy & histology*