Multiresolution elastic matching
Computer Vision, Graphics, and Image Processing
Variational methods in image segmentation
Variational methods in image segmentation
CVRMed-MRCAS '97 Proceedings of the First Joint Conference on Computer Vision, Virtual Reality and Robotics in Medicine and Medial Robotics and Computer-Assisted Surgery
Automatic Analysis of Normal Brain Dissymmetry of Males and Females in MR Images
MICCAI '98 Proceedings of the First International Conference on Medical Image Computing and Computer-Assisted Intervention
Understanding the "Demon's Algorithm": 3D Non-rigid Registration by Gradient Descent
MICCAI '99 Proceedings of the Second International Conference on Medical Image Computing and Computer-Assisted Intervention
3D Image Matching Using a Finite Element Based Elastic Deformation Model
MICCAI '99 Proceedings of the Second International Conference on Medical Image Computing and Computer-Assisted Intervention
Ultrasound Probe Tracking for Real-Time Ultrasound/MRI Overlay and Visualization of Brain Shift
MICCAI '99 Proceedings of the Second International Conference on Medical Image Computing and Computer-Assisted Intervention
Brain Atlas Deformation in the Presence of Large Space-occupying Tumors
MICCAI '99 Proceedings of the Second International Conference on Medical Image Computing and Computer-Assisted Intervention
Medical Image Registration with Robust Multigrid Techniques
MICCAI '99 Proceedings of the Second International Conference on Medical Image Computing and Computer-Assisted Intervention
3D Cardiac Deformation from Ultrasound Images
MICCAI '99 Proceedings of the Second International Conference on Medical Image Computing and Computer-Assisted Intervention
Generalized Correlation Ratio for Rigid Registration of 3D Ultrasound with MR Images
MICCAI '00 Proceedings of the Third International Conference on Medical Image Computing and Computer-Assisted Intervention
Bayesian Estimation of Intra-operative Deformation for Image-Guided Surgery Using 3-D Ultrasound
MICCAI '00 Proceedings of the Third International Conference on Medical Image Computing and Computer-Assisted Intervention
Ultrasound/MRI Overlay with Image Warping for Neurosurgery
MICCAI '00 Proceedings of the Third International Conference on Medical Image Computing and Computer-Assisted Intervention
Automating 3D Echocardiographic Image Analysis
MICCAI '00 Proceedings of the Third International Conference on Medical Image Computing and Computer-Assisted Intervention
Block Matching: A General Framework to Improve Robustness of Rigid Registration of Medical Images
MICCAI '00 Proceedings of the Third International Conference on Medical Image Computing and Computer-Assisted Intervention
MMBIA '00 Proceedings of the IEEE Workshop on Mathematical Methods in Biomedical Image Analysis
Non-Rigid MR/US Registration for Tracking Brain Deformations
MIAR '01 Proceedings of the International Workshop on Medical Imaging and Augmented Reality (MIAR '01)
IEEE Transactions on Information Technology in Biomedicine
Iconic feature based nonrigid registration: the PASHA algorithm
Computer Vision and Image Understanding - Special issue on nonrigid image registration
Anytime similarity measures for faster alignment
Computer Vision and Image Understanding
Fast image alignment using anytime algorithms
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
IEEE Transactions on Information Technology in Biomedicine - Special section on body sensor networks
Journal of Biomedical Imaging
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During a neuro-surgical intervention, the brain tissues shift and warp. In order to keep an accurate positioning of the surgical instruments, one has to estimate this deformation from intra-operative images. We present in this article a feasibility study of a tracking tool based on intra-operative 3D ultrasound (US) image sequences. The automatic processing of this kind of images is of great interest for the development of innovative and low-cost image guided surgery tools. The difficulty relies both in the complex nature of the ultrasound image, and in the amount of data to be treated as fast as possible.