21–23 May 2018
La Biodola, Isola d'Elba
Europe/Rome timezone

The quantitative performance and optimal regularization parameter in BSREM reconstructions of clinical 68Ga-PSMA PET/MR

22 May 2018, 16:15
1h 30m
Parking area (Hotel Hermitage)

Parking area

Hotel Hermitage

Board: 24

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)

Presentation materials

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