Surface shape and curvature scales
Image and Vision Computing
Variational problems and partial differential equations on implicit surfaces
Journal of Computational Physics
Computational Surface Flattening: A Voxel-Based Approach
IWVF-4 Proceedings of the 4th International Workshop on Visual Form
Journal of Cognitive Neuroscience
IEEE Transactions on Image Processing
Spherical Demons: Fast Surface Registration
MICCAI '08 Proceedings of the 11th international conference on Medical Image Computing and Computer-Assisted Intervention - Part I
Cortical Correspondence with Probabilistic Fiber Connectivity
IPMI '09 Proceedings of the 21st International Conference on Information Processing in Medical Imaging
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention
Hippocampus-Specific fMRI group activation analysis with continuous m-reps
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part II
A method for automated cortical surface registration and labeling
WBIR'12 Proceedings of the 5th international conference on Biomedical Image Registration
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Spatial normalization is frequently used to map data to a standard coordinate system by removing inter-subject morphological differences, thereby allowing for group analysis to be carried out. In this paper, we analyze the geometry of the cortical surface using two shape measures that are the key to distinguish sulcal and gyral regions from each other. Then a multispectral optical flow (OF) warping procedure that aims to align the shape measure maps of an atlas and a subject brain’s normalized maps is described. The variational problem to estimate the OF field is solved using a Euclidean framework. After warping one brain given the OF result, we obtain a better structural and functional alignment across multiple brains.