TY - GEN
T1 - Cardiac motion estimation from 3D echocardiography with spatiotemporal regularization
AU - Zhang, Zhijun
AU - Song, Xubo
AU - Sahn, David J.
PY - 2011
Y1 - 2011
N2 - Cardiac deformation and motion analysis is important for studying heart function and mechanics. Deformation and motion abnormality of the myocardial wall is usually associated with ischemia and infarct. Three-dimensional (3D) echocardiographic (echo) imaging is the most widely used method to estimate cardiac motion. However, quantitative motion analysis from echo images is still a challenging problem due to the complexity of cardiac motion, limitations in spatial and temporal resolutions, low signal noise ratio and imaging artifacts such as signal dropout. We developed a novel method to quantitatively analyze cardiac deformation and motion from echo sequences. Our estimated cardiac motion is not only regularized to be spatially but also temporally smooth. We validate our methods using (1) simulated echo images with known ground truth, and (2) in vivo echo images acquired on open-chests pigs with sonomicrometry. Tests indicate that our method can estimate cardiac motion more accurately than methods without temporal regularization.
AB - Cardiac deformation and motion analysis is important for studying heart function and mechanics. Deformation and motion abnormality of the myocardial wall is usually associated with ischemia and infarct. Three-dimensional (3D) echocardiographic (echo) imaging is the most widely used method to estimate cardiac motion. However, quantitative motion analysis from echo images is still a challenging problem due to the complexity of cardiac motion, limitations in spatial and temporal resolutions, low signal noise ratio and imaging artifacts such as signal dropout. We developed a novel method to quantitatively analyze cardiac deformation and motion from echo sequences. Our estimated cardiac motion is not only regularized to be spatially but also temporally smooth. We validate our methods using (1) simulated echo images with known ground truth, and (2) in vivo echo images acquired on open-chests pigs with sonomicrometry. Tests indicate that our method can estimate cardiac motion more accurately than methods without temporal regularization.
KW - Cardiac motion analysis
KW - cardiac strain estimation
KW - echocardiography
KW - nonrigid image registration
UR - http://www.scopus.com/inward/record.url?scp=79957660024&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79957660024&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-21028-0_45
DO - 10.1007/978-3-642-21028-0_45
M3 - Conference contribution
AN - SCOPUS:79957660024
SN - 9783642210273
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 350
EP - 358
BT - Functional Imaging and Modeling of the Heart - 6th International Conference, FIMH 2011, Proceedings
T2 - 6th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2011
Y2 - 25 May 2011 through 27 May 2011
ER -