Extracting lines of maximal depth from MR images of the human brain

Lohmann, Gabriele; Kruggel, Frithjof J.

doi:10.1109/ICPR.1996.547001

Item

ITEM ACTIONSEXPORT

Add to Basket

Local TagsRelease HistoryDetailsSummary

Released

Conference Paper

Extracting lines of maximal depth from MR images of the human brain

MPS-Authors

/persons/resource/persons19821

Lohmann, Gabriele
MPI of Cognitive Neuroscience (Leipzig, -2003), The Prior Institutes, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

/persons/resource/persons19800

Kruggel, Frithjof J.
MPI of Cognitive Neuroscience (Leipzig, -2003), The Prior Institutes, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

External Resource

No external resources are shared

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

Fulltext (public)

There are no public fulltexts stored in PuRe

Supplementary Material (public)

There is no public supplementary material available

Citation

Lohmann, G., & Kruggel, F. J. (1996). Extracting lines of maximal depth from MR images of the human brain. In Proceedings of the 13th international conference on pattern recognition (pp. 518-522). Los Alamitos: IEEE Computer Society Press. doi:10.1109/ICPR.1996.547001.

Cite as: https://hdl.handle.net/21.11116/0000-0003-3AD5-C

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.