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Automatic detection of sulcal bottom lines in MR images of the human brain

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Information Processing in Medical Imaging (IPMI 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1230))

Abstract

This paper describes an automatic procedure for extracting sulcal bottom lines from MR (magnetic resonance) images of the human brain, which will serve as a tool for landmark extraction as well as for investigating the morphometry of sulci. The procedure consists of a sequence of several image processing steps, including morphological operators and a constrained distance transform which provides information about sulcal depth at each location.

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Author information

Authors and Affiliations

  1. Max-Planck-Institute of Cognitive Neuroscience, Inselstr. 22-26, 04103, Leipzig, Germany

    Gabriele Lohmann, Frithjof Kruggel & D. Yves von Cramon

Authors
  1. Gabriele Lohmann
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  2. Frithjof Kruggel
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  3. D. Yves von Cramon
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James Duncan Gene Gindi

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© 1997 Springer-Verlag Berlin Heidelberg

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Lohmann, G., Kruggel, F., von Cramon, D.Y. (1997). Automatic detection of sulcal bottom lines in MR images of the human brain. In: Duncan, J., Gindi, G. (eds) Information Processing in Medical Imaging. IPMI 1997. Lecture Notes in Computer Science, vol 1230. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63046-5_28

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  • DOI: https://doi.org/10.1007/3-540-63046-5_28

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63046-3

  • Online ISBN: 978-3-540-69070-2

  • eBook Packages: Springer Book Archive

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