Dissemin is shutting down on January 1st, 2025

Published in

Elsevier, NeuroImage, (111), p. 12-25, 2015

DOI: 10.1016/j.neuroimage.2015.02.008

Links

Tools

Export citation

Search in Google Scholar

Deep sulcal landmarks: Algorithmic and conceptual improvements in the definition and extraction of sulcal pits

Journal article published in 2015 by Guillaume Auzias ORCID, Lucile Brun, Olivier Coulon, Christine Deruelle
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

Full text: Download

Green circle
Preprint: archiving allowed
Green circle
Postprint: archiving allowed
Green circle
Published version: archiving allowed
Data provided by SHERPA/RoMEO

Abstract

Recent interest has been growing concerning points of maximum depth within folds, the sulcal pits, that can be used as reliable cortical landmarks. These remarkable points on the cortical surface are defined algorithmically as the outcome of an automatic extraction procedure. The influence of several crucial parameters of the reference technique (Im et al., 2010) has not been evaluated extensively, and no optimization procedure has been proposed so far. Designing an appropriate optimization framework for these parameters is mandatory to guarantee the reproducibility of results across studies and to ensure the feasibility of sulcal pit extraction and analysis on large cohorts.