Kinetic parameter reconstruction for motion compensation in transmission tomography

Zhou Yu; Jean-Baptiste Thibault; Jiao Wang; Charles A. Bouman; Ken D. Sauer

doi:10.1117/12.887843

7 February 2011 Kinetic parameter reconstruction for motion compensation in transmission tomography

Zhou Yu, Jean-Baptiste Thibault, Jiao Wang, Charles A. Bouman, Ken D. Sauer

Proceedings Volume 7873, Computational Imaging IX; 78730T (2011) https://doi.org/10.1117/12.887843
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States

Abstract

Model based iterative reconstruction (MBIR) algorithms have recently been applied to computed tomography and demonstrated superior image quality. This algorithmic framework also provides us the flexibility to incorporate more sophisticated models of the data acquisition process. In this paper, we present the kinetic parameter iterative reconstruction (KPIR) algorithm which estimates voxel values as a function of time in the MBIR framework. We introduce a parametric kinetic model for each voxel, and estimate the kinetic parameters directly from the data. Results on phantom study and clinical data show that the proposed method can significantly reduce motion artifacts in the reconstruction.

Citation Download Citation

Zhou Yu, Jean-Baptiste Thibault, Jiao Wang, Charles A. Bouman, and Ken D. Sauer "Kinetic parameter reconstruction for motion compensation in transmission tomography", Proc. SPIE 7873, Computational Imaging IX, 78730T (7 February 2011); https://doi.org/10.1117/12.887843

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