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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© 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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