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28 May 2019 EM-ML algorithm based on continuous-to-continuous model for PET
Robert Cierniak, Piotr Dobosz, Andrzej Grzybowski
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Proceedings Volume 11072, 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine; 1107236 (2019) https://doi.org/10.1117/12.2534464
Event: Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 2019, Philadelphia, United States
Abstract
The presented here abstract presents shortly an iterative approach to reconstruction problem for positron emission tomography (PET) imaging technique. The conception proposed here is based on a continuous-to-continuous data model, and a reconstruction problem is formulated as a shift-invariant system. The reconstruction problem is formulated taking into consideration the statistical properties of signals obtained by PET scanner. Computer simulations have been performed which prove that the reconstruction algorithm described here significantly overperforms EM-ML method based on discrete-to discrete data model on the quality of the images obtained.
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Robert Cierniak, Piotr Dobosz, and Andrzej Grzybowski "EM-ML algorithm based on continuous-to-continuous model for PET", Proc. SPIE 11072, 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 1107236 (28 May 2019); https://doi.org/10.1117/12.2534464
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KEYWORDS
Reconstruction algorithms
Positron emission tomography
Image processing
Data modeling
Expectation maximization algorithms
Tomography
Computer simulations
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