Fast simulation of ultrasound images from a CT volume
Computers in Biology and Medicine
Ultrasound Image Sequence Registration and its Application for Thyroid Nodular Disease
Journal of Signal Processing Systems
Simulation of 3D ultrasound with a realistic electro-mechanical model of the heart
FIMH'07 Proceedings of the 4th international conference on Functional imaging and modeling of the heart
Regularized multilevel B-spline registration: application to cardiac motion estimation
ISBI'10 Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro
Learning-based 3D myocardial motion flow estimation using high frame rate volumetric ultrasound data
ISBI'10 Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro
Cardiac motion estimation from 3D echocardiography with spatiotemporal regularization
FIMH'11 Proceedings of the 6th international conference on Functional imaging and modeling of the heart
Monogenic phase based optical flow computation for myocardial motion analysis in 3d echocardiography
STACOM'12 Proceedings of the third international conference on Statistical Atlases and Computational Models of the Heart: imaging and modelling challenges
A survey of shaped-based registration and segmentation techniques for cardiac images
Computer Vision and Image Understanding
Computers in Biology and Medicine
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The quantitative assessment of cardiac motion is a fundamental concept to evaluate ventricular malfunction. We present a new optical-flow-based method for estimating heart motion from two-dimensional echocardiographic sequences. To account for typical heart motions, such as contraction/expansion and shear, we analyze the images locally by using a local-affine model for the velocity in space and a linear model in time. The regional motion parameters are estimated in the least-squares sense inside a sliding spatiotemporal B-spline window. Robustness and spatial adaptability is achieved by estimating the model parameters at multiple scales within a coarse-to-fine multiresolution framework. We use a wavelet-like algorithm for computing B-spline-weighted inner products and moments at dyadic scales to increase computational efficiency. In order to characterize myocardial contractility and to simplify the detection of myocardial dysfunction, the radial component of the velocity with respect to a reference point is color coded and visualized inside a time-varying region of interest. The algorithm was first validated on synthetic data sets that simulate a beating heart with a speckle-like appearance of echocardiograms. The ability to estimate motion from real ultrasound sequences was demonstrated by a rotating phantom experiment. The method was also applied to a set of in vivo echocardiograms from an animal study. Motion estimation results were in good agreement with the expert echocardiographic reading.