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28 May 2019 Dynamic PET imaging with the generalized method of moments
Joaquín L. Herraiz, Miguel Angel Morcillo, Jose Manuel Udias
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Proceedings Volume 11072, 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine; 110721I (2019) https://doi.org/10.1117/12.2534837
Event: Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 2019, Philadelphia, United States
Abstract
Dynamic PET imaging is usually performed dividing the acquired data into time frames which are reconstructed independently and then fitted using a kinetic model. This approach requires many image reconstructions, and data corrections, and the use of short frames usually produces noisy images with significant positive bias. In this work we propose to use a generalized version of the method of moments (MoM), already in use in other fields such as fluorescence decay studies, to address these problems. In the MoM, the events of the list-mode data are weighted based on the time they were detected and stored in sinograms. These sinograms are reconstructed with standard algorithms, and the dynamic parameters of interest are derived from the resulting images using algebraic relations, which depend on the specific dynamic model and selected set of weights. The method was evaluated with data from preclinical and clinical scanners with several dynamical studies such as a decaying 13N phantom acquired with the Biograph TP scanner and a PatLak analysis in the myocardium region of a mouse injected with 18F-FDG, reaching in all cases similar results to the ones obtained using frames. We also successfully tested the MoM with more complex dynamic models with simulated data obtained with dPETSTEP. In summary, the MoM applied to dynamic PET has the potential to be a very effective way to reduce the computational cost and bias in many different studies.
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Joaquín L. Herraiz, Miguel Angel Morcillo, and Jose Manuel Udias "Dynamic PET imaging with the generalized method of moments", Proc. SPIE 11072, 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 110721I (28 May 2019); https://doi.org/10.1117/12.2534837
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KEYWORDS
Positron emission tomography
Data modeling
Scanners
Data acquisition
Reconstruction algorithms
Physical sciences
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