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Part of the book series: Computational Imaging and Vision ((CIVI,volume 4))

Abstract

In this paper, we study the application of a new class of Gibbs priors to improve the signal-to-noise ratio in gated SPECT myocardial perfusion studies. The Gibbs priors, referred to as “space-time” Gibbs priors, enforce smoothing in the time dimension as well as the spatial dimensions while preserving the sharpness of edges in the reconstructed image. These Gibbs priors can be implemented with or without prior knowledge of heart motion. We develop a modified MAP-EM algorithm that reconstructs all time frames in the gated data simultaneously. We demonstrate on simulated gated myocardial SPECT data that the addition of the time-domain prior improves the visualization of the left ventricle in unfiltered reconstructions as compared to ML-EM and that MAP-EM with the space-time prior offers improved resolution as compared to ML-EM followed by a linear filter. We conclude that space-time priors have the potential to improve reconstructions of noisy gated cardiac SPECT data.

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© 1996 Springer Science+Business Media Dordrecht

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Lalush, D.S., Tsui, B.M.W. (1996). Space-Time Gibbs Priors Applied to Gated SPECT Myocardial Perfusion Studies. In: Grangeat, P., Amans, JL. (eds) Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine. Computational Imaging and Vision, vol 4. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-8749-5_15

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  • DOI: https://doi.org/10.1007/978-94-015-8749-5_15

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-4723-6

  • Online ISBN: 978-94-015-8749-5

  • eBook Packages: Springer Book Archive

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