Automatic Detection of Sulcal Bottom Lines in MR Images of the Human Brain

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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