International Journal of Computer Vision
Cardiac Motion Analysis from Ultrasound Sequences Using Non-rigid Registration
MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention
Multiframe temporal estimation of cardiac nonrigid motion
IEEE Transactions on Image Processing
Registration of 4D Time-Series of Cardiac Images with Multichannel Diffeomorphic Demons
MICCAI '08 Proceedings of the 11th International Conference on Medical Image Computing and Computer-Assisted Intervention, Part II
WBIR'10 Proceedings of the 4th international conference on Biomedical image registration
A motion correction algorithm for microendoscope video computing in image-guided intervention
MIAR'10 Proceedings of the 5th international conference on Medical imaging and augmented reality
Local Tomography and the Motion Estimation Problem
SIAM Journal on Imaging Sciences
Myocardial deformation recovery using a 3d biventricular incompressible model
WBIR'06 Proceedings of the Third international conference on Biomedical Image Registration
Hi-index | 0.00 |
A 4D image registration method is proposed for consistent estimation of cardiac motion from MR image sequences. Under this 4D registration framework, all 3D cardiac images taken at different time-points are registered simultaneously, and motion estimated is enforced to be spatiotemporally smooth, thereby overcoming potential limitations of some methods that typically estimate cardiac deformation sequentially from one frame to another, instead of treating the entire set of images as a 4D volume. To facilitate our image matching process, an attribute vector is designed for each point in the image to include intensity, boundary and geometric moment invariants (GMIs). Hierarchical registration of two image sequences is achieved by using the most distinctive points for initial registration of two sequences and gradually adding less-distinctive points for refinement of registration. Experimental results on real data demonstrate good performance of the proposed method in registering cardiac images and estimating motions from cardiac image sequences.