Title | ||
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A combined shape tracking and speckle tracking approach for 4D deformation analysis in echocardiography |
Abstract | ||
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Quantitative analysis of left ventricular function provides valuable information about overall heart health. Echocardiography is non-invasive method for imaging the heart that provides high temporal resolution allowing for imaging cardiac motion. Shape tracking and speckle tracking are two methods that have previously been used to track cardiac deformation in ultrasound. These two methods provide complementary displacement values. Shape tracking gives accurate boundary displacements, while speckle tracking provides accurate displacements across the myocardium. We combine these two methods using adaptive multilevel radial basis functions on 4D echocardiography data. Radial strains were calculated for N=5 open chest canines 6 weeks post-coronary artery occlusion. Radial strain values for three myocardial segments across three short axis slices showed good correlation to corresponding MR tagged data. |
Year | DOI | Venue |
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2012 | 10.1109/ISBI.2012.6235583 | Biomedical Imaging |
Keywords | Field | DocType |
biomedical MRI,echocardiography,medical image processing,muscle,radial basis function networks,speckle,4D deformation analysis,4D echocardiography,adaptive multilevel radial basis function,biomedical MRI,cardiac deformation,cardiac motion imaging,heart health,left ventricular function,myocardial segments,myocardium,non-invasive method,open chest canine,post-coronary artery occlusion,radial strain value,shape tracking,speckle tracking,4D Ultrasound,Cardiac Strain,Echocardiography,Motion Tracking,Radial Basis Functions | Computer vision,Radial basis function,Occlusion,Radial stress,Speckle pattern,Computer science,Medical imaging,Artificial intelligence,Temporal resolution,Match moving,Ultrasound | Conference |
ISSN | ISBN | Citations |
1945-7928 | 978-1-4577-1857-1 | 1 |
PageRank | References | Authors |
0.35 | 0 | 11 |
Name | Order | Citations | PageRank |
---|---|---|---|
Colin B. Compas | 1 | 54 | 7.02 |
Emily Y. Wong | 2 | 8 | 1.49 |
Xiaojie Huang | 3 | 59 | 4.93 |
Smita Sampath | 4 | 21 | 6.18 |
Ben A. Lin | 5 | 54 | 6.34 |
Xenophon Papademetris | 6 | 516 | 48.77 |
Karl Thiele | 7 | 8 | 1.15 |
Donald P. Dione | 8 | 230 | 18.56 |
Albert J. Sinusas | 9 | 521 | 49.46 |
Matthew O'Donnell | 10 | 15 | 3.97 |
James S. Duncan | 11 | 2973 | 466.48 |