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

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

Radiology and Bioengineering

Research output: Contribution to journal › Article › peer-review

56 Scopus citations

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.

Original language	English
Pages (from-to)	S108-S118
Journal	NeuroImage
Volume	23
Issue number	SUPPL. 1
DOIs	https://doi.org/10.1016/j.neuroimage.2004.07.042
State	Published - 2004

Keywords

Cerebral cortex
Cortical surface
Cortical thickness
Surface flattening

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10.1016/j.neuroimage.2004.07.042

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title = "Cortical surface segmentation and mapping",

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.",

keywords = "Cerebral cortex, Cortical surface, Cortical thickness, Surface flattening",

author = "Duygu Tosun and Rettmann, \{Maryam E.\} and Xiao Han and Xiaodong Tao and Chenyang Xu and Resnick, \{Susan M.\} and Pham, \{Dzung L.\} and Prince, \{Jerry L.\}",

year = "2004",

doi = "10.1016/j.neuroimage.2004.07.042",

language = "English",

volume = "23",

pages = "S108--S118",

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T1 - Cortical surface segmentation and mapping

AU - Tosun, Duygu

AU - Rettmann, Maryam E.

AU - Han, Xiao

AU - Tao, Xiaodong

AU - Xu, Chenyang

AU - Resnick, Susan M.

AU - Pham, Dzung L.

AU - Prince, Jerry L.

PY - 2004

Y1 - 2004

N2 - 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.

AB - 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.

KW - Cerebral cortex

KW - Cortical surface

KW - Cortical thickness

KW - Surface flattening

UR - https://www.scopus.com/pages/publications/7044228134

U2 - 10.1016/j.neuroimage.2004.07.042

DO - 10.1016/j.neuroimage.2004.07.042

M3 - Article

C2 - 15501080

AN - SCOPUS:7044228134

SN - 1053-8119

VL - 23

SP - S108-S118

JO - NeuroImage

JF - NeuroImage

IS - SUPPL. 1

ER -

Cortical surface segmentation and mapping

Abstract

Keywords

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