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Diffeomorphic metric surface mapping in subregion of the superior temporal gyrus
- Source :
- NeuroImage, NeuroImage, Elsevier, 2007, 34 (3), pp.1149-59. ⟨10.1016/j.neuroimage.2006.08.053⟩, NeuroImage, Elsevier, 2007, 34 (3), pp.1149-59. 〈10.1016/j.neuroimage.2006.08.053〉
- Publication Year :
- 2007
- Publisher :
- HAL CCSD, 2007.
-
Abstract
- International audience; 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.
- Subjects :
- MESH: Subtraction Technique
Planum temporale
Superior temporal gyrus
MESH: Bipolar Disorder
[ INFO.INFO-TI ] Computer Science [cs]/Image Processing
MESH : Female
Computer vision
MESH : Algorithms
Mathematics
MESH: Middle Aged
MESH : Image Interpretation, Computer-Assisted
MESH : Adult
MESH : Artificial Intelligence
MESH : Diffusion Magnetic Resonance Imaging
MESH: Reproducibility of Results
Neurology
[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]
MESH : Imaging, Three-Dimensional
[SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]
MESH : Sensitivity and Specificity
MESH: Image Enhancement
Large deformation diffeomorphic metric mapping
MESH : Male
Cognitive Neuroscience
MESH: Algorithms
MESH: Imaging, Three-Dimensional
MESH: Diffusion Magnetic Resonance Imaging
Curvature
MESH : Schizophrenia
MESH : Subtraction Technique
Euclidean geometry
MESH: Temporal Lobe
MESH: Artificial Intelligence
MESH : Middle Aged
Polygon mesh
MESH : Temporal Lobe
MESH : Bipolar Disorder
Blossom algorithm
MESH: Humans
Quantitative Biology::Neurons and Cognition
business.industry
MESH : Reproducibility of Results
MESH : Humans
MESH: Information Storage and Retrieval
Pattern recognition
MESH: Adult
MESH : Information Storage and Retrieval
MESH: Male
MESH: Schizophrenia
MESH: Sensitivity and Specificity
[ SDV.NEU ] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]
MESH : Image Enhancement
Artificial intelligence
business
Normal
MESH: Female
MESH: Image Interpretation, Computer-Assisted
Subjects
Details
- Language :
- English
- ISSN :
- 10538119 and 10959572
- Database :
- OpenAIRE
- Journal :
- NeuroImage, NeuroImage, Elsevier, 2007, 34 (3), pp.1149-59. ⟨10.1016/j.neuroimage.2006.08.053⟩, NeuroImage, Elsevier, 2007, 34 (3), pp.1149-59. 〈10.1016/j.neuroimage.2006.08.053〉
- Accession number :
- edsair.doi.dedup.....2e89d3b8883a8215fd7f48182a454f45