Abstract
This paper presents a new 3D reconstruction algorithm to improve the statistical quality of cardiac gated SPECT images. The restoration is modelled as a Bayesian estimation problem. Given a sequence of 2D projection sets and a 3D cardiac deformation model, the minimum variance estimate at a particular phase of the cardiac cycle is determined. Due to a high dimensional matrix inversion, the theoretical solution is too cumbersome to be implemented. Thus, a suboptimal solution is proposed. It is expressed as a recursive algorithm based on a deformed filtered backpro jection. This latter requires first an estimation of the 3D activity map deformation. This algorithm is evaluated on both simulated and real data. This study is a first step towards 4D image reconstruction.
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© 1996 Springer Science+Business Media Dordrecht
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de Murcia, J., Grangeat, P. (1996). Reconstruction of Gated SPECT Myocardial Images Using a Temporal Evolution Model. 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_16
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DOI: https://doi.org/10.1007/978-94-015-8749-5_16
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-4723-6
Online ISBN: 978-94-015-8749-5
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