Title
Fast left ventricle tracking in 3D echocardiographic data using anatomical affine optical flow
Abstract
Global functional assessment remains a central part of the diagnostic process in daily cardiology practice. Furthermore, real-time 3D echocardiography has been shown to offer superior performance in the assessment of global functional indices, such as stroke volume and ejection fraction, over conventional 2D echo. With this in mind, we present a novel method for tracking the left ventricle (LV) in three-dimensional ultrasound data using a global affine motion model. In order to have a valid region for the underlying assumption of nearly homogeneous motion patterns, we introduce an anatomical region of interest which constrains the global affine motion estimation to a neighborhood around the endocardial surface. This is shown to substantially increase the tracking accuracy and robustness, while simultaneously reducing the required computation time. The proposed anatomical formulation of the optical flow problem is compared with a state-of-the-art real-time tracker and provides competitive performance in the estimation of relevant cardiac volumetric indices used in clinical practice.
Year
DOI
Venue
2013
10.1007/978-3-642-38899-6_23
FIMH
Keywords
Field
DocType
daily cardiology practice,global functional index,anatomical affine optical flow,proposed anatomical formulation,global functional assessment,global affine motion estimation,competitive performance,anatomical region,global affine motion model,homogeneous motion pattern,ventricle tracking,echocardiographic data,clinical practice
Affine transformation,Computer vision,Stroke volume,Robustness (computer science),Artificial intelligence,Ventricle,Region of interest,Optical flow,Mathematics,3D ultrasound,Computation
Conference
Volume
ISSN
Citations 
7945
0302-9743
1
PageRank 
References 
Authors
0.37
5
6
Name
Order
Citations
PageRank
Daniel Barbosa112913.33
Brecht Heyde2706.94
Thomas Dietenbeck39110.89
Denis Friboulet440332.65
Jan D'hooge528432.31
Olivier Bernard669063.59