Tracking of LV endocardial surface on real-time three-dimensional ultrasound with optical flow

Authors:
Qi Duan;Elsa D. Angelini;Susan L. Herz;Olivier Gerard;Pascal Allain;Christopher M. Ingrassia;Kevin D. Costa;Jeffrey W. Holmes;Shunichi Homma;Andrew F. Laine
Affiliations:
Columbia University, New York, NY;Ecole Nationale Supérieure des Télécommunications, Paris, France;Columbia University, New York, NY;Philips Medical Systems Research Paris, Suresnes, France;Philips Medical Systems Research Paris, Suresnes, France;Columbia University, New York, NY;Columbia University, New York, NY;Columbia University, New York, NY;Columbia University, New York, NY;Columbia University, New York, NY
Venue:
FIMH'05 Proceedings of the Third international conference on Functional Imaging and Modeling of the Heart
Year:
2005

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Abstract

Matrix-phased array transducers for real-time three-dimensional ultrasound enable fast, non-invasive visualization of cardiac ventricles. Segmentation of 3D ultrasound is typically performed at end diastole and end systole with challenges for automation of the process and propagation of segmentation in time. In this context, given the position of the endocardial surface at certain instants in the cardiac cycle, automated tracking of the surface over the remaining time frames could reduce the workload of cardiologists and optimize analysis of volume ultrasound data. In this paper, we applied optical flow to track the endocardial surface between frames of reference, segmented via manual tracing or manual editing of the output from a deformable model. To evaluate optical-flow tracking of the endocardium, quantitative comparison of ventricular geometry and dynamic cardiac function are reported on two open-chest dog data sets and a clinical data set. Results showed excellent agreement between optical flow tracking and segmented surfaces at reference frames, suggesting that optical flow can provide dynamic “interpolation” of a segmented endocardial surface.