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Automatic extraction of sulcal lines on the cortical surface using shortest path probability maps
Arnaud Le Troter1, Guillaume Auzias, Olivier Coulon
1Laboratoire des Sciences de l’Information et des Systèmes, UMR CNRS 6168, Marseille, France. arnaud.le-troter@univmed.fr
Summary
This study presents an automated method for extracting human brain sulcal lines from cortical surface meshes. This technique aids in landmark extraction and the morphometric analysis of brain sulci.
Area of Science:
- Neuroimaging
- Computational anatomy
- Medical image analysis
Background:
- Accurate extraction of sulcal lines is crucial for understanding human brain morphology and function.
- Existing manual methods for sulcal line extraction are time-consuming and prone to inter-rater variability.
Purpose of the Study:
- To develop and validate an automatic procedure for extracting sulcal lines from human brain cortical surface meshes.
- To provide a reliable tool for landmark extraction and sulcal morphometry investigations.
Main Methods:
- Sulcal basin segmentation using local curvature information.
- Estimation of depth-constrained geodesic paths.
- Determination of a robust probability map for sulcal line crossing.
Main Results:
- The automated procedure successfully extracts sulcal lines from cortical surface meshes.
- Quantitative validation demonstrates good agreement between the automated method and manually traced sulcal curves on two major sulci.
Conclusions:
- The developed automatic procedure offers an efficient and reproducible method for sulcal line extraction.
- This tool has significant potential for advancing neuroimaging research, particularly in landmark identification and the morphometric analysis of brain sulci.
