Abstract：
:Cortical surface reconstruction is important for functional brain mapping and morphometric analysis of the brain cortex. Several methods have been developed for the faithful reconstruction of surface models which represent the true cortical surface in both geometry and topology. However, there has been no explicit comparison study among those methods because each method has its own procedures, file formats, coordinate systems, and use of the reconstructed surface. There has also been no explicit evaluation method except visual inspection to validate the whole-cortical surface models quantitatively. In this study, we presented a novel phantom-based validation method of the cortical surface reconstruction algorithm and quantitatively cross-validated the three most prominent cortical surface reconstruction algorithms which are used in Freesurfer, BrainVISA, and CLASP, respectively. The validation included geometrical accuracy and mesh characteristics such as Euler number, fractal dimension (FD), total surface area, and local density of points. CLASP showed the best geometric/topologic accuracy and mesh characteristics such as FD and total surface area compared to Freesurfer and BrainVISA. In the validation of local density of points, Freesurfer and BrainVISA showed more even distribution of points on the cortical surface compared to CLASP.
journal_name
Neuroimagejournal_title
NeuroImageauthors
Lee JK,Lee JM,Kim JS,Kim IY,Evans AC,Kim SIdoi
10.1016/j.neuroimage.2005.12.044keywords:
subject
Has Abstractpub_date
2006-06-01 00:00:00pages
572-84issue
2eissn
1053-8119issn
1095-9572pii
S1053-8119(06)00007-3journal_volume
31pub_type
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