Abstract
Characterizing the point spread function (PSF) of a PET tomograph is important for assessing its performance and provides a useful model for restoration of the tomographic image. The PSF of ring PET tomographs is known to be spatiallyvariant and difficult to obtain because it must be reconstructed from projections. A mathematical model was developed to simulate the data acquisition from a point source and to reconstruct the PSF taking into account the full description of the detector response functions. In order to investigate the effect of the detector weighting function on the PSF, the reconstruction, based on the filtered backprojection algorithm, was implemented with three classes of weighting functions of decreasing complexity: exact, locally invariant and constant. Significant discrepancies are observed to result from the different hypothesis and this is shown to lead to distorted PSF and to erroneous estimates of the intrinsic resolution off the center of the tomograph.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.