Temporal diffeomorphic motion analysis from echocardiographic sequences by using intensity transitivity consistency

Authors:
Zhijun Zhang;David J. Sahn;Xubo Song
Affiliations:
Department of Biomedical Engineering, Oregon Health and Science University, Beaverton, OR;Department of Biomedical Engineering, Oregon Health and Science University, Beaverton, OR;Department of Biomedical Engineering, Oregon Health and Science University, Beaverton, OR
Venue:
STACOM'11 Proceedings of the Second international conference on Statistical Atlases and Computational Models of the Heart: imaging and modelling challenges
Year:
2011

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Abstract

Quantitative motion analysis from echocardiography is an important yet challenging problem. We develop a motion estimation algorithm for echocardiographic sequences based on diffeomorphic image registration in which the velocity field is spatiotemporally smooth. The novelty of this work is that we propose a functional of the velocity field which minimizes the intensity consistency error of the local unwarped frames. The consistency error is measured as the sum of squared difference of the four frames evolving to any time point between the two inner frames of them. The estimated spatiotemporal transformation has maximum local transitivity consistency. We validate our method by using simulated images with known ground truth and real ultrasound datasets, experiment results indicate that our motion estimation method is more accurate than other methods.