Title
Multi-frame radial basis functions to combine shape and speckle tracking for cardiac deformation analysis in echocardiography
Abstract
Quantitative analysis of left ventricular motion can provide valuable information about cardiac function. Echocardiography is a noninvasive, readily available method that can generate real time images of heart motion. Two methods that have been used to track motion in echocardiography are shape tracking and speckle tracking. Shape tracking provides reliable tracking information on the boundaries of the myocardium, while speckle tracking is reliable across the myocardium. The complementary nature of these methods means that combining them can lead to a better overall understanding of ventricular deformation. The methods presented here use radial basis functions to combine displacements generated from the two methods using information from multiple sequential frames. Ultrasound data was acquired for six canines at baseline and also, for three of these, after myocardial infarction induced by surgical coronary occlusion. Mean segmental radial strain values showed significant decreases in the infarct regions. Comparison to tagged MRI strain values for two of the animals showed good correlation.
Year
DOI
Venue
2011
10.1007/978-3-642-21028-0_14
FIMH
Keywords
Field
DocType
multi-frame radial basis function,mri strain value,left ventricular motion,radial basis function,reliable tracking information,ventricular deformation,segmental radial strain value,cardiac deformation analysis,heart motion,valuable information,speckle tracking,shape tracking,cardiac function,ultrasound,quantitative analysis,myocardial infarct
Myocardial infarction,Computer vision,Radial basis function,Radial stress,Speckle pattern,Computer science,Artificial intelligence,Deformation (mechanics),Cardiac function curve,Ultrasound,Coronary occlusion
Conference
Volume
ISSN
Citations 
6666
0302-9743
2
PageRank 
References 
Authors
0.46
7
7
Name
Order
Citations
PageRank
Colin B. Compas1547.02
Ben A. Lin2546.34
Smita Sampath3216.18
Congxian Jia420.79
Qifeng Wei5246.13
Albert J. Sinusas652149.46
James S. Duncan72973466.48