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Motion Estimation for Cardiac Emission Tomography by Optical Flow Methods
Physics in Medicine and Biology
  • David R. Gilland
  • Bernard A. Mair
  • Jason G. Parker, Wright State University - Main Campus
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This paper describes a new method for estimating the 3D, non-rigid object motion in a time sequence of images. The method is a generalization of a standard optical flow algorithm that is incorporated into a successive quadratic approximation framework. The method was evaluated for gated cardiac emission tomography using images obtained from a mathematical, 4D phantom and a physical, dynamic phantom. The results showed that the proposed method offers improved motion estimation accuracy relative to the standard optical flow method. Convergence of the proposed algorithm was evidenced with a monotonically decreasing objective function value with iteration. Practical application of the motion estimation method in cardiac emission tomography includes quantitative myocardial motion estimation and 4D, motion-compensated image reconstruction.
Citation Information
David R. Gilland, Bernard A. Mair and Jason G. Parker. "Motion Estimation for Cardiac Emission Tomography by Optical Flow Methods" Physics in Medicine and Biology Vol. 53 Iss. 11 (2008) p. 2991 - 3006 ISSN: 00319155
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