A Method for Registration of 3-D Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Iconic feature based nonrigid registration: the PASHA algorithm
Computer Vision and Image Understanding - Special issue on nonrigid image registration
Optical Flow and Advection on 2-Riemannian Manifolds: A Common Framework
IEEE Transactions on Pattern Analysis and Machine Intelligence
Cardiac video analysis using Hodge-Helmholtz field decomposition
Computers in Biology and Medicine
Automatic cortical segmentation in the developing brain
IPMI'07 Proceedings of the 20th international conference on Information processing in medical imaging
Imaging brain activation streams from optical flow computation on 2-riemannian manifolds
IPMI'07 Proceedings of the 20th international conference on Information processing in medical imaging
Longitudinal cortical registration for developing neonates
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention
Feature detection and tracking in optical flow on non-flat manifolds
Pattern Recognition Letters
| Hi-index | 0.00 |
We report on a new framework to investigate the rapid brain development of newborns. It is based on the analysis of depth maps of the cortical surface through the study of a displacement field estimated by surfacic optical flow methods. This displacement field shows local evolution of sulci directly on the cortical surface. Detection of its critical points is performed with the Helmholtz decomposition which allows us to identify sources of the developmental process. They can be viewed as growth seeds or in other terms points around which the sulcal growth organizes itself. We show the reproducibility of such growth seeds across 4 neonates and make a link of this new concept to the "sulcal roots" one proposed to explain the variability of human brain anatomy.