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1996 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'96)
Dense Nonrigid Motion Tracking from a Sequence of Velocity Fields
San Francisco, Ca.
June 18-June 20
ISBN: 0-8186-7258-7
Francois G. Meyer, Yale University School of Medicine meyer@noodle.med.yale.edu
R. Todd Constable, Yale University School of Medicine meyer@noodle.med.yale.edu
Albert J. Sinusas, Yale University School of Medicine meyer@noodle.med.yale.edu
James. S. Duncan, Yale University School of Medicine meyer@noodle.med.yale.edu
We have addressed the problem of tracking the nonrigid motion of the heart using a sequence of velocity fields and a sequence of contours. The information from both the contours and the dense velocity fields is integrated into a deforming mesh that is placed over the myocardium at one time frame and then tracked over the entire cardiac cycle. The deformation is guided by a smoothing filter that provides a compromise between (i) believing the dense field velocity and the contour data when it is crisp and coherent in a local spatial and temporal sense and (ii) employing a temporally smooth cyclic model of cardiac motion when contour and velocity data are not trustworthy. The method has been carefully evaluated with simulated data and phantom data. Experiments with in vivo data have also been conducted.
Citation:
Francois G. Meyer, R. Todd Constable, Albert J. Sinusas, James. S. Duncan, "Dense Nonrigid Motion Tracking from a Sequence of Velocity Fields," cvpr, pp.839, 1996 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'96), 1996
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