Vortex tracking in high density vector fields

Authors:
Clément Guérin;Petra Gomez-Krämer;Michel Ménard;Damien Coisne
Affiliations:
L3I, University of La Rochelle, France;L3I, University of La Rochelle, France;L3I, University of La Rochelle, France;University Hospital of Poitiers, France
Venue:
ICIAR'12 Proceedings of the 9th international conference on Image Analysis and Recognition - Volume Part I
Year:
2012

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Abstract

Echo Particular Velocity Imaging (EchoPIV) has become a promising tool to detect flow patterns in cardiovascular structures. We present in this paper a new method for the detection and tracking of the vortex in the left ventricle for EchoPIV image sequences. The vortex is roughly localized by approximating an affine motion model to the estimated high density motion vector field and analyzing the significance of its rotational component in a statistical test. Based on a detection of the center of rotation and the approximated motion model, the area of the vortex is segmented. False positives are eliminated by analyzing the vortex's shape. Results on synthetic and real data are promising.