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キーワード:
Humans; Surface topography; Robustness; Neuroscience; Magnetic resonance; Brain mapping; Testing; Performance evaluation; Image segmentation; Image analysis
要旨:
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.