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Proceedings Paper

New method for tuning hyperparameter for the total variation norm in the maximum a posteriori ordered subsets expectation maximization reconstruction in SPECT myocardial perfusion imaging
Author(s): Zhaoxia Yang; Andrzej Krol; Yuesheng Xu; David H. Feiglin
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Paper Abstract

In order to improve the tradeoff between noise and bias, and to improve uniformity of the reconstructed myocardium while preserving spatial resolution in parallel-beam collimator SPECT myocardial perfusion imaging (MPI) we investigated the most advantageous approach to provide reliable estimate of the optimal value of hyperparameter for the Total Variation (TV) norm in the iterative Bayesian Maximum A Posteriori Ordered Subsets Expectation Maximization (MAP-OSEM) one step late tomographic reconstruction with Gibbs prior. Our aim was to find the optimal value of hyperparameter corresponding to the lowest bias at the lowest noise while maximizing uniformity and spatial resolution for the reconstructed myocardium in SPECT MPI. We found that the L-curve method that is by definition a global technique provides good guidance for selection of the optimal value of the hyperparameter. However, for a heterogeneous object such as human thorax the fine-tuning of the hyperparameter's value can be only accomplished by means of a local method such as the proposed bias-noise distance (BND) curve. We established that our BND-curve method provides accurate optimized hyperparameter's value estimation as long as the region of interest volume for which it is defined is sufficiently large and is located sufficiently close to the myocardium.

Paper Details

Date Published: 17 March 2011
PDF: 7 pages
Proc. SPIE 7961, Medical Imaging 2011: Physics of Medical Imaging, 796141 (17 March 2011); doi: 10.1117/12.877796
Show Author Affiliations
Zhaoxia Yang, Sun Yat-sen Univ. (China)
SUNY Upstate Medical Univ. (United States)
Andrzej Krol, SUNY Upstate Medical Univ. (United States)
Yuesheng Xu, Sun Yat-sen Univ. (China)
Syracuse Univ. (United States)
David H. Feiglin, SUNY Upstate Medical Univ. (United States)


Published in SPIE Proceedings Vol. 7961:
Medical Imaging 2011: Physics of Medical Imaging
Norbert J. Pelc; Ehsan Samei; Robert M. Nishikawa, Editor(s)

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