Jump to : Download | Abstract | Keywords | Contact | BibTex reference | EndNote reference |

DFS99

A. M. Dale, B. Fischl, M. I. Sereno. Cortical surface-based analysis. I. Segmentation and surface reconstruction. NeuroImage, 9(2):179-194, 1999.

Download

Download paper: (link)

Copyright notice:This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.

Abstract

Several properties of the cerebral cortex, including its columnar and laminar organization, as well as the topographic organization of cortical areas, can only be properly understood in the context of the intrinsic two-dimensional structure of the cortical surface. In order to study such cortical properties in humans, it is necessary to obtain an accurate and explicit representation of the cortical surface in individual subjects. Here we describe a set of automated procedures for obtaining accurate reconstructions of the cortical surface, which have been applied to data from more than 100 subjects, requiring little or no manual intervention. Automated routines for unfolding and flattening the cortical surface are described in a companion paper. These procedures allow for the routine use of cortical surface-based analysis and visualization methods in functional brain imaging

Keywords

[ Brain mapping/instrumentation ] [ Cerebral cortex/*anatomy & histology ] [ Human ] [ Image processing ] [ Computer-assisted/*instrumentation ] [ Magnetic resonance imaging/*instrumentation ] [ Reference values ] [ Software ]

Contact

A. M. Dale
B. Fischl
M. I. Sereno

BibTex Reference

@article{DFS99,
   Author = {Dale, A. M. and Fischl, B. and Sereno, M. I.},
   Title = {Cortical surface-based analysis. {I}. {S}egmentation and surface reconstruction},
   Journal = {NeuroImage},
   Volume = {9},
   Number = {2},
   Pages = {179--194},
   Year = {1999}
}

EndNote Reference [help]

Get EndNote Reference (.ref)