Dense Nonrigid Motion Tracking from a Sequence of Velocity Fields

François G. Meyer, R. Todd Constable, Albert J. Sinusas, James S. Duncan

CVPR 1996 pp. 839-844

doi:10.1109/CVPR.1996.517169 /cvpr/1996/meyer1996cvpr-dense/

Abstract

We have addressed the problem of tracking the non-rigid 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.

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Text

Meyer et al. "Dense Nonrigid Motion Tracking from a Sequence of Velocity Fields." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1996. doi:10.1109/CVPR.1996.517169

Markdown

[Meyer et al. "Dense Nonrigid Motion Tracking from a Sequence of Velocity Fields." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1996.](https://mlanthology.org/cvpr/1996/meyer1996cvpr-dense/) doi:10.1109/CVPR.1996.517169

BibTeX

@inproceedings{meyer1996cvpr-dense,
  title     = {{Dense Nonrigid Motion Tracking from a Sequence of Velocity Fields}},
  author    = {Meyer, François G. and Constable, R. Todd and Sinusas, Albert J. and Duncan, James S.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1996},
  pages     = {839-844},
  doi       = {10.1109/CVPR.1996.517169},
  url       = {https://mlanthology.org/cvpr/1996/meyer1996cvpr-dense/}
}