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 nmrphometry of sulci. The procedure consists of a seqnence of several image processing steps, inclnding morphological operators and a constrained distance transform which provides information about suleal depth at each location.
Cite
CITATION STYLE
Lohmann, G., Kruggel, F., & Von Cramon, D. Y. (1997). Automatic detection of sulcal bottom lines in MR images of the human brain. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1230, pp. 369–374). Springer Verlag. https://doi.org/10.1007/3-540-63046-5_28
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
