DocumentCode :
2434596
Title :
Extracting lines of maximal depth from MR images of the human brain
Author :
Lohmann, Gabriele ; Kruggel, Frithjof
Author_Institution :
Max-Planck-Inst. of Cognitive Neurosci., Leipzig, Germany
Volume :
3
fYear :
1996
fDate :
25-29 Aug 1996
Firstpage :
518
Abstract :
This paper describes a new approach to the automatic detection of the bottom lines of the main cortical sulci using MR images of the human brain. The principle idea is to extract lines of maximal depth as measured from the smoothed brain surface. The main advantage of our approach over existing methods is that it is not based on curvature estimation. It is therefore much more robust and easier to implement
Keywords :
biomedical NMR; brain; edge detection; feature extraction; neurophysiology; MR images; cortical sulci; feature extraction; human brain; magnetic resonance images; maximal depth line extraction; Brain mapping; Humans; Image analysis; Image segmentation; Magnetic resonance; Neuroscience; Performance evaluation; Robustness; Surface topography; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location :
Vienna
ISSN :
1051-4651
Print_ISBN :
0-8186-7282-X
Type :
conf
DOI :
10.1109/ICPR.1996.547001
Filename :
547001
Link To Document :
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