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  • Title: CRUISE: cortical reconstruction using implicit surface evolution.
    Author: Han X, Pham DL, Tosun D, Rettmann ME, Xu C, Prince JL.
    Journal: Neuroimage; 2004 Nov; 23(3):997-1012. PubMed ID: 15528100.
    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.
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