title: Consistent reconstruction of cortical surfaces from longitudinal brain MR images.
abstract: Accurate and consistent reconstruction of cortical surfaces from longitudinal human brain MR images is of great importance in studying subtle morphological changes of the cerebral cortex. This paper presents a new deformable surface method for consistent and accurate reconstruction of inner, central and outer cortical surfaces from longitudinal MR images. Specifically, the cortical surfaces of the group-mean image of all aligned longitudinal images of the same subject are first reconstructed by a deformable surface method driven by a force derived from the Laplace's equation. And then the longitudinal cortical surfaces are consistently reconstructed by jointly deforming the cortical surfaces from the group-mean image to all longitudinal images. The proposed method has been successfully applied to both simulated and real longitudinal images, demonstrating its validity.
authors: Department of Radiology and BRIC, University of North Carolina at Chapel Hill, USA.
authors: Gang
authors: G
authors: Li
authors: Jingxin
authors: J
authors: Nie
authors: Dinggang
authors: D
authors: Shen
mesh_terms: D000465:Algorithms; D001921:Brain / Q000033:anatomy & histology / Q000473:pathology*; D001931:Brain Mapping / Q000379:methods*; D002540:Cerebral Cortex / Q000473:pathology*; D003198:Computer Simulation; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D015233:Models, Statistical; D015203:Reproducibility of Results