Add to ORKGCortical surface parameterization has several applications in visualization and analysis of the brain surface. Here we pro-pose a scheme for parameterizing the surface of the cerebral cortex. The parameterization is formulated as the minimiza-tion of an energy functional in the norm. A numerical method for obtaining the solution is also presented. Brain surfaces from multiple subjects are brought into common parameter space using the scheme. 3D spatial averages of the cortical surfaces are generated by using the correspon-dences induced by common parameter space. 1
Brain mapping transforms the brain cortical surface to canonical planar domains, which plays a funda...
Abstract—Neuroimaging data, such as 3D maps of cortical thickness or neural activation, can often be...
We present a novel cortical correspondence method employing group-wise registration in a spherical p...
UnrestrictedRegistration and analysis of neuro-imaging data presents a challenging problem due to th...
In medical imaging, parameterized 3D surface models are of great interest for anatomical modeling an...
Human brain, the most complex living structure ever known, has been a subject of research for centur...
International audienceThe cerebral cortex is the largest part of the human brain and is critical for...
Structural analysis of MRI data on the cortical surface usually focuses on cortical thickness. Corti...
Structural analysis of MRI data on the cortical surface usually focuses on cortical thickness. Corti...
Reconstruction of the cerebral cortex from magnetic resonance (MR) images is an important step in qu...
Abstract — The cortex is the outermost thin layer of gray matter in the brain; geometric measurement...
We present a method that maps a complex surface geometry to an equally complicated, similar surface....
We develop a general approach that uses holomorphic 1forms to parameterize anatomical surfaces with ...
In order to compare and integrate brain data more effectively, data from multiple subjects are typic...
Abstract—The cortex is the outermost thin layer of gray matter in the brain; geometric measurement o...
Brain mapping transforms the brain cortical surface to canonical planar domains, which plays a funda...
Abstract—Neuroimaging data, such as 3D maps of cortical thickness or neural activation, can often be...
We present a novel cortical correspondence method employing group-wise registration in a spherical p...
UnrestrictedRegistration and analysis of neuro-imaging data presents a challenging problem due to th...
In medical imaging, parameterized 3D surface models are of great interest for anatomical modeling an...
Human brain, the most complex living structure ever known, has been a subject of research for centur...
International audienceThe cerebral cortex is the largest part of the human brain and is critical for...
Structural analysis of MRI data on the cortical surface usually focuses on cortical thickness. Corti...
Structural analysis of MRI data on the cortical surface usually focuses on cortical thickness. Corti...
Reconstruction of the cerebral cortex from magnetic resonance (MR) images is an important step in qu...
Abstract — The cortex is the outermost thin layer of gray matter in the brain; geometric measurement...
We present a method that maps a complex surface geometry to an equally complicated, similar surface....
We develop a general approach that uses holomorphic 1forms to parameterize anatomical surfaces with ...
In order to compare and integrate brain data more effectively, data from multiple subjects are typic...
Abstract—The cortex is the outermost thin layer of gray matter in the brain; geometric measurement o...
Brain mapping transforms the brain cortical surface to canonical planar domains, which plays a funda...
Abstract—Neuroimaging data, such as 3D maps of cortical thickness or neural activation, can often be...
We present a novel cortical correspondence method employing group-wise registration in a spherical p...