Paper
21 May 2004 Reconstruction of image sequences using motion compensation
Yongyi Yang, Erwan J. Gravier
Author Affiliations +
Proceedings Volume 5299, Computational Imaging II; (2004) https://doi.org/10.1117/12.535945
Event: Electronic Imaging 2004, 2004, San Jose, California, United States
Abstract
In this paper we study a motion-compensated approach for simultaneous reconstruction of image frames in a time sequence. We treat the frames in a sequence collectively as a single function of both space and time, and define a temporal prior to account for the temporal correlations in a sequence. This temporal prior is defined in a form of motion-compensation, aimed to follow the curved trajectories of the object motion through space-time. The image frames are then obtained through estimation using the expectation-maximization (EM) algorithm. The proposed algorithm was evaluated extensively using the 4D gated mathematical cardiac-torso (gMCAT) D1.01 phantom to simulate gated SPECT perfusion imaging with Tc99m. Our experimental results demonstrate that the use of motion compensation for reconstruction can lead to significant improvement in image quality and reconstruction accuracy.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yongyi Yang and Erwan J. Gravier "Reconstruction of image sequences using motion compensation", Proc. SPIE 5299, Computational Imaging II, (21 May 2004); https://doi.org/10.1117/12.535945
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Reconstruction algorithms

Expectation maximization algorithms

Motion estimation

Image quality

Image processing

Single photon emission computed tomography

Image filtering

Back to Top