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