期刊
NEUROIMAGE
卷 61, 期 4, 页码 941-949出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.neuroimage.2012.04.021
关键词
Sulcal lines; Geodesic path; Geodesic path density map; Cortical surface matching
资金
- Agence Nationale de la Recherche [ANR-09-BLAN-0038-01]
- Agence Nationale de la Recherche (ANR) [ANR-09-BLAN-0038] Funding Source: Agence Nationale de la Recherche (ANR)
We present here a method that is designed to automatically extract sulcal lines on the mesh of any cortical surface. The method is based on the definition of a new function, the Geodesic Path Density Map (GPDM), within each sulcal basin (i.e. regions with a negative mean curvature). GPDM indicates at each vertex the likelihood that a shortest path between any two points of the basins boundary goes through that vertex. If the distance used to compute shortest path is anisotropic and constrained by a geometric information such as the depth, the GPDM indicates the likelihood that a vertex belongs to the sulcal line in the basin. An automatic GPDM adaptive thresholding procedure is proposed and sulcal lines are then defined. The process has been validated on a set of 25 subjects by comparing results to the manual segmentation from an expert and showed an average error below 2 mm. It is also compared to our previous reference method in the context of inter-subject cortical surface registration and shows an significant improvement in performance. (C) 2012 Elsevier Inc. All rights reserved.
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