Brain Image Registration for Shape Analysis: Contributions from the Epidaure Laboratory at INRIA
Nicholas Ayache
INRIA Sophia Antipolis
EPIDAURE
Registration remains a central issue for detecting and quantifying shape variations. In this talk, I survey some of the past and current registration methods developed in our research group Epidaure at INRIA, and show how they can be combined with specific methods to detect and quantify shape variations, either from intra-patient longitudinal studies or from inter-subject medical images.
Applications cover the follow-up of brain diseases, multimodal image fusion for image-guided neurosurgery, construction of three-dimensional brain representations from two-dimensional optical cross-sections or autoradiographies, segmentation of deep grey nuclei from MR images, and modeling of sulcal variability through tensor maps. I indicate some promising directions, including the processing of in vivo cellular images.
All references are available on the web site of the Epidaure Laboratory.
Audio (MP3 File, Podcast Ready)
