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Extracting and Representing the Cortical Sulci
May/June 1999 (vol. 19 no. 3)
pp. 49-55
ASCII Text
x 
 
Yong Zhou, Paul M. Thompson, Arthur W. Toga, "Extracting and Representing the Cortical Sulci," IEEE Computer Graphics and Applications, vol. 19, no. 3, pp. 49-55, May/June, 1999.
 
 
BibTex
x
 
@article{ 10.1109/38.761550,
author = {Yong Zhou and Paul M. Thompson and Arthur W. Toga},
title = {Extracting and Representing the Cortical Sulci},
journal ={IEEE Computer Graphics and Applications},
volume = {19},
number = {3},
issn = {0272-1716},
year = {1999},
pages = {49-55},
doi = {http://doi.ieeecomputersociety.org/10.1109/38.761550},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - MGZN
JO - IEEE Computer Graphics and Applications
TI - Extracting and Representing the Cortical Sulci
IS - 3
SN - 0272-1716
SP49
EP55
EPD - 49-55
A1 - Yong Zhou,
A1 - Paul M. Thompson,
A1 - Arthur W. Toga,
PY - 1999
KW - Skeleton
KW - Deformable Model
KW - Region Growing
KW - Cortical Sulcus
KW - Voxel-Coding
VL - 19
JA - IEEE Computer Graphics and Applications
ER -
 
Current sulcal modeling techniques depend, more or less, on manual interpretation. We propose a robust voxel-coding methodology for automatic extraction and parameterization of the sulcal surfaces from volume data sets. The cortical sulci are generated in two steps: initial contour extraction and final contour generation. A voxel-coding technique based on the exterior boundary of the cerebral cortex extracts the initial contours. A similar voxel-coding technique generates the final contours. Results, and comparisons with manually derived surface models, demonstrate the potential of our methodology.

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Index Terms:
Skeleton, Deformable Model, Region Growing, Cortical Sulcus, Voxel-Coding
Citation:
Yong Zhou, Paul M. Thompson, Arthur W. Toga, "Extracting and Representing the Cortical Sulci," IEEE Computer Graphics and Applications, vol. 19, no. 3, pp. 49-55, May-June 1999, doi:10.1109/38.761550
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