1995 International Conference on Image Processing (ICIP'95) - Volume 2
Estimating cardiac motion from image sequences using recursive comb filtering
Washington D.C.
October 23-October 26
ISBN: 0-8186-7310-9
A. Nehorai, Dept. of Electr. Eng., Yale Univ., New Haven, CT, USA
J.S. Duncan, Dept. of Electr. Eng., Yale Univ., New Haven, CT, USA
A framework for temporal analysis of left ventricular (LV) endocardial wall motion is presented. This approach uses harmonic estimation to model the periodic nature of cardiac motion. A method for flow vector computation is presented which defines a relationship between image-derived, shape-based correspondences and a more desirable, smoothly varying, set of correspondences. A recursive filter is then constructed which takes into consideration this relationship as well as knowledge of temporal trends. The trajectories of magnetic resonance (MR) contrast markers implanted in the LV wall are compared with trajectories estimated by the filter. The results of this comparison confirm that although cardiac motion is a 3-D problem, 2-D analysis provides a rich testing ground for algorithm development.
Index Terms:
image sequences; motion estimation; medical image processing; biomechanics; recursive filters; biomedical NMR; cardiology; cardiac motion estimation; recursive comb filtering; harmonic estimation; periodic motion; image-derived shape-based correspondences; magnetic resonance contrast markers trajectories; flow vector computation method; medical diagnostic imaging; temporal trends; algorithm development; 3D problem; 2D analysis
Citation:
J.C. McEachen, II, A. Nehorai, J.S. Duncan, "Estimating cardiac motion from image sequences using recursive comb filtering," icip, vol. 2, pp.2496, 1995 International Conference on Image Processing (ICIP'95) - Volume 2, 1995
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb