Cortical surface segmentation and mapping.

Duygu Tosun; Maryam E Rettmann; Xiao Han; Xiaodong Tao; Chenyang Xu; Susan M Resnick; Dzung L Pham; Jerry L Prince

doi:10.1016/j.neuroimage.2004.07.042

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Cortical surface segmentation and mapping.

Duygu Tosun·Maryam E Rettmann·Xiao Han·Xiaodong Tao·Chenyang Xu·Susan M Resnick·Dzung L Pham·Jerry L Prince

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Abstract

Segmentation and mapping of the human cerebral cortex from magnetic resonance (MR) images plays an important role in neuroscience and medicine. This paper describes a comprehensive approach for cortical reconstruction, flattening, and sulcal segmentation. Robustness to imaging artifacts and anatomical consistency are key achievements in an overall approach that is nearly fully automatic and computationally fast. Results demonstrating the application of this approach to a study of cortical thickness changes in aging are presented.

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Aging Algorithms Brain Mapping Cerebral Cortex Humans Image Processing, Computer-Assisted Magnetic Resonance Imaging Models, Statistical Nerve Tissue Reproducibility of Results Journal Article Research Support, U.S. Gov't, P.H.S.Review

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Duygu Tosun, Maryam E Rettmann, Xiao Han, Xiaodong Tao, Chenyang Xu, Susan M Resnick, Dzung L Pham, Jerry L Prince. 2004. Cortical surface segmentation and mapping.. https://doi.org/10.1016/j.neuroimage.2004.07.042

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