Coronary Occlusion Detection with 4D Optical Flow Based Strain Estimation on 4D Ultrasound

Authors:
Qi Duan;Elsa D. Angelini;Auranuch Lorsakul;Shunichi Homma;Jeffrey W. Holmes;Andrew F. Laine
Affiliations:
Columbia University, New York, USA and Center for Biomedical Imaging, NYU School of Medicine, New York, USA;Institut Telecom, Telecom ParisTech, CNRS LTCI, Paris, France;Columbia University, New York, USA;Columbia University, New York, USA;Department of Biomedical Engineering and Medicine, University of Virginia, Charlottesville, USA;Columbia University, New York, USA
Venue:
FIMH '09 Proceedings of the 5th International Conference on Functional Imaging and Modeling of the Heart
Year:
2009

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Abstract

Real-time three-dimensional echocardiography (RT3DE) offers an efficient way to obtain complete 3D images of the heart over an entire cardiac cycle in just a few seconds. The complex 3D wall motion and temporal information contained in these 4D data sequences has the potential to enhance and supplement other imaging modalities for clinical diagnoses based on cardiac motion analysis. In our previous work, a 4D optical flow based method was developed to estimate dynamic cardiac metrics, including strains anddisplacements, from 4D ultrasound. In this study, in order to evaluate the ability of our method in detecting ischemic regions, coronary artery occlusion experiments at various locations were performed on five dogs. 4D ultrasound data acquired during these experiments were analyzed with our proposed method. Ischemic regions predicted by the outcome of strain measurements were compared to predictions from cardiac physiology with strong agreement. This is the first direct validation study of our image analysis method for biomechanical prediction and in vivo experimental outcome.