Abstract：
:This paper describes the application of large deformation diffeomorphic metric mapping to cortical surfaces based on the shape and geometric properties of subregions of the superior temporal gyrus in the human brain. The anatomical surfaces of the cortex are represented as triangulated meshes. The diffeomorphic matching algorithm is implemented by defining a norm between the triangulated meshes, based on the algorithms of Vaillant and Glaunès. The diffeomorphic correspondence is defined as a flow of the extrinsic three dimensional coordinates containing the cortical surface that registers the initial and target geometry by minimizing the norm. The methods are demonstrated in 40 high-resolution MRI cortical surfaces of planum temporale (PT) constructed from subsets of the superior temporal gyrus (STG). The effectiveness of the algorithm is demonstrated via the Euclidean positional distance, distance of normal vectors, and curvature before and after the surface matching as well as the comparison with a landmark matching algorithm. The results demonstrate that both the positional and shape variability of the anatomical configurations are being represented by the diffeomorphic maps.
journal_name
Neuroimagejournal_title
NeuroImageauthors
Vaillant M,Qiu A,Glaunès J,Miller MIdoi
10.1016/j.neuroimage.2006.08.053subject
Has Abstractpub_date
2007-02-01 00:00:00pages
1149-59issue
3eissn
1053-8119issn
1095-9572pii
S1053-8119(06)00839-1journal_volume
34pub_type
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