On Image Analysis by the Methods of Moments
IEEE Transactions on Pattern Analysis and Machine Intelligence
3-D Moment Forms: Their Construction and Application to Object Identification and Positioning
IEEE Transactions on Pattern Analysis and Machine Intelligence
Texture Features for Browsing and Retrieval of Image Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
Cardiac Deformation Recovery using a 3D Incompressible Deformable Model
CVPRW '06 Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop
A Geometric Theory of Symmetric Registration
CVPRW '06 Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop
Multiframe temporal estimation of cardiac nonrigid motion
IEEE Transactions on Image Processing
Spatial-temporal constraint for segmentation of serial infant brain MR images
MIAR'10 Proceedings of the 5th international conference on Medical imaging and augmented reality
International Journal of Computer Vision
Temporal groupwise registration for motion modeling
IPMI'11 Proceedings of the 22nd international conference on Information processing in medical imaging
STACOM'11 Proceedings of the Second international conference on Statistical Atlases and Computational Models of the Heart: imaging and modelling challenges
Diffeomorphic cardiac motion estimation with anisotropic regularization along myofiber orientation
WBIR'12 Proceedings of the 5th international conference on Biomedical Image Registration
A survey of shaped-based registration and segmentation techniques for cardiac images
Computer Vision and Image Understanding
IPCAI'13 Proceedings of the 4th international conference on Information Processing in Computer-Assisted Interventions
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A method for spatio-temporally smooth and consistent estimation of cardiac motion from MR cine sequences is proposed. Myocardial motion is estimated within a four-dimensional (4D) registration framework, in which all three-dimensional (3D) images obtained at different cardiac phases are simultaneously registered. This facilitates spatio-temporally consistent estimation of motion as opposed to other registration-based algorithms which estimate the motion by sequentially registering one frame to another. To facilitate image matching, an attribute vector (AV) is constructed for each point in the image, and is intended to serve as a ''morphological signature'' of that point. The AV includes 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 to refine the registration. Experimental results on real data demonstrate good performance of the proposed method for cardiac image registration and motion estimation. The motion estimation is validated via comparisons with motion estimates obtained from MR images with myocardial tagging.