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Dynamic PET imaging with the generalized method of moments
Author(s): Joaquín L. Herraiz; Miguel Angel Morcillo; Jose Manuel Udias
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Paper 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.

Paper Details

Date Published: 28 May 2019
PDF: 5 pages
Proc. SPIE 11072, 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 110721I (28 May 2019); doi: 10.1117/12.2534837
Show Author Affiliations
Joaquín L. Herraiz, Complutense Univ. of Madrid (Spain)
Health Research Institute of the Hospital Clínico San Carlos (Spain)
Miguel Angel Morcillo, Research Ctr. for Energy, Environment and Technology (Spain)
Jose Manuel Udias, Complutense Univ. of Madrid (Spain)
Health Research Institute of the Hospital Clínico San Carlos (IdISSC) (Spain)


Published in SPIE Proceedings Vol. 11072:
15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine
Samuel Matej; Scott D. Metzler, Editor(s)

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