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

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.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0003-3AD5-C Version Permalink: https://hdl.handle.net/21.11116/0000-0003-3AD6-B
Genre: Conference Paper

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 Creators:
Lohmann, Gabriele1, Author           
Kruggel, Frithjof J.1, Author           
Affiliations:
1MPI of Cognitive Neuroscience (Leipzig, -2003), The Prior Institutes, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634574              

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Free keywords: Humans; Surface topography; Robustness; Neuroscience; Magnetic resonance; Brain mapping; Testing; Performance evaluation; Image segmentation; Image analysis
 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.

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Language(s): eng - English
 Dates: 2002-08-061996
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1109/ICPR.1996.547001
 Degree: -

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Title: 13th International Conference on Pattern Recognition
Place of Event: Vienna, Austria
Start-/End Date: 1996-08-25 - 1996-08-29

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Title: Proceedings of the 13th international conference on pattern recognition
Source Genre: Proceedings
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Publ. Info: Los Alamitos : IEEE Computer Society Press
Pages: - Volume / Issue: 3 Sequence Number: - Start / End Page: 518 - 522 Identifier: ISBN: 0-8186-7282-X
ISSN: 1051-4651