Speaker
Edwin ter Voert
(Department of Nuclear Medicine, University Hospital Zurich and University of Zurich)
Description
In contrast to ordered subset expectation maximization (OSEM), block sequential regularized expectation maximization (BSREM) PET reconstruction algorithms can run until full convergence while controlling image quality and noise. Recent studies with BSREM and 18F-FDG PET reported higher signal-to-noise ratios and higher standardized uptake values (SUV). In this study we investigate the optimal regularization parameter for clinical 68Ga-PSMA PET/MR reconstructions in the pelvic region applying TOF BSREM in comparison to TOF OSEM.
Primary author
Edwin ter Voert
(Department of Nuclear Medicine, University Hospital Zurich and University of Zurich)
Co-authors
Dr
Daniele Pizzuto
(Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland)
Dr
Gaspar Delso
(GE Healthcare, Waukesha, WI, US)
Dr
Hannes Nagel
(Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland)
Dr
Irene Burger
(Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland)
Dr
Julian Mueller
(Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland)
Dr
Urs Muehlematter
(Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland)