Vortex tracking in high density vector fields

Clément Guérin (1) , Petra Gomez-Krämer (1) , Michel Ménard (1) , Damien Coisne (2)

1 L3I - Laboratoire Informatique, Image et Interaction - EA 2118
2 Hôpital de la Milétrie

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 affi ne motion model to the estimated high density motion vector fi eld and analyzing the signi cance 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.

Mots clés: Vortex detection/tracking; motion analysis; blood flow; EchoPIV

Domaines: Imagerie médicale

Clément Guérin, Petra Gomez-Krämer, Michel Ménard, Damien Coisne. Vortex tracking in high density vector fields. International Conference on Image Analysis and Recognition, Jun 2012, Aveiro, Portugal. pp.192-199. ⟨hal-00713893⟩