TY - GEN
T1 - Temporal diffeomorphic motion analysis from echocardiographic sequences by using intensity transitivity consistency
AU - Zhang, Zhijun
AU - Sahn, David J.
AU - Song, Xubo
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84863351979&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84863351979&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-28326-0_28
DO - 10.1007/978-3-642-28326-0_28
M3 - Conference contribution
AN - SCOPUS:84863351979
SN - 9783642283253
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 274
EP - 284
BT - Statistical Atlases and Computational Models of the Heart
T2 - 2nd International Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges, STACOM 2011, Held in Conjunction with MICCAI 2011
Y2 - 22 September 2011 through 22 September 2011
ER -