Abstract:
:Segmentation and representation of the human cerebral cortex from magnetic resonance (MR) images play an important role in neuroscience and medicine. A successful segmentation method must be robust to various imaging artifacts and produce anatomically meaningful and consistent cortical representations. A method for the automatic reconstruction of the inner, central, and outer surfaces of the cerebral cortex from T1-weighted MR brain images is presented. The method combines a fuzzy tissue classification method, an efficient topology correction algorithm, and a topology-preserving geometric deformable surface model (TGDM). The algorithm is fast and numerically stable, and yields accurate brain surface reconstructions that are guaranteed to be topologically correct and free from self-intersections. Validation results on real MR data are presented to demonstrate the performance of the method.
journal_name
Neuroimagejournal_title
NeuroImageauthors
Han X,Pham DL,Tosun D,Rettmann ME,Xu C,Prince JLdoi
10.1016/j.neuroimage.2004.06.043keywords:
subject
Has Abstractpub_date
2004-11-01 00:00:00pages
997-1012issue
3eissn
1053-8119issn
1095-9572pii
S1053-8119(04)00361-1journal_volume
23pub_type
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