CRUISE: cortical reconstruction using implicit surface evolution.

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

Neuroimage

journal_title

NeuroImage

authors

Han X,Pham DL,Tosun D,Rettmann ME,Xu C,Prince JL

doi

10.1016/j.neuroimage.2004.06.043

keywords:

subject

Has Abstract

pub_date

2004-11-01 00:00:00

pages

997-1012

issue

3

eissn

1053-8119

issn

1095-9572

pii

S1053-8119(04)00361-1

journal_volume

23

pub_type

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