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

Lohmann, G., & Kruggel, F. (1996). Extracting lines of maximal depth from MR images of the human brain. In 13th International Conference on Pattern Recognition (pp. 518-522). Los Alamitos, CA, USA: IEEE Computer Society Press. doi:10.1109/ICPR.1996.547001.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0005-EA4D-E Version Permalink: https://hdl.handle.net/21.11116/0000-0005-EA4E-D
Genre: Conference Paper

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https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=547001 (Publisher version)
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 Creators:
Lohmann, G1, Author           
Kruggel, FJ, Author
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1External Organizations, ou_persistent22              

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 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: 2002-061996-08
 Publication Status: Published in print
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1109/ICPR.1996.547001
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Title: 13th International Conference on Pattern Recognition (ICPR 1996)
Place of Event: Wien, Austria
Start-/End Date: 1996-08-25 - 1996-08-29

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Title: 13th International Conference on Pattern Recognition
Source Genre: Proceedings
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Publ. Info: Los Alamitos, CA, USA : IEEE Computer Society Press
Pages: - Volume / Issue: 3 Sequence Number: - Start / End Page: 518 - 522 Identifier: ISBN: 0-8186-7282-X
ISSN: 1051-4651