Table of Contents
ISRN Biomedical Imaging
Volume 2013 (2013), Article ID 943051, 11 pages
Research Article

Evaluation of the Feasibility and Quantitative Accuracy of a Generalized Scatter 2D PET Reconstruction Method

1Department of Physics and Astronomy, University of Manitoba, Allen Building, Winnipeg, MB, Canada R3T 2N2
2CancerCare Manitoba, Winnipeg, MB, Canada R3E 0V9
3Department of Radiology, University of Manitoba, Winnipeg, MB, Canada R3E 0V9

Received 21 December 2012; Accepted 16 January 2013

Academic Editors: N. Belcari, Y. Chen, and F. Rannou

Copyright © 2013 Hongyan Sun and Stephen Pistorius. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Scatter degrades the contrast and quantitative accuracy of positron emission tomography (PET) images, and most methods for estimating and correcting scattered coincidences in PET subtract scattered events from the measured data. Compton scattering kinematics can be used to map out the locus of possible scattering locations. These curved lines (2D) or surfaces (3D), which connect the coincidence detectors, encompass the surface (2D) or volume (3D) where the decay occurs. In the limiting case where the scattering angle approaches zero, the scattered coincidence approaches the true coincidence. Therefore, both true and scattered coincidences can be considered similarly in a generalized scatter maximum-likelihood expectation-maximization reconstruction algorithm. The proposed method was tested using list-mode data obtained from a GATE simulation of a Jaszczak-type phantom. For scatter fractions from 10% to 60%, this approach reduces noise and improves the contrast recovery coefficients by 0.5–3.0% compared with reconstructions using true coincidences and by 3.0–24.5% with conventional reconstruction methods. The results demonstrate that this algorithm is capable of producing images entirely from scattered photons, eliminates the need for scatter corrections, increases image contrast, and reduces noise. This could be used to improve diagnostic quality and/or to reduce patient dose and radiopharmaceutical cost.