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Dedicated prostate DOI-TOF-PET based on the ProVision detection concept

Hong Phuc Vo*, Themistoklis Williams, Katayoun Doroud, Crispin Williams, Magdalena Rafecas

*Korrespondierende/r Autor/-in für diese Arbeit

Abstract

Objective: The ProVision scanner is a dedicated prostate PET system with limited angular coverage; it employs a new detector technology that provides high spatial resolution as well as information about depth-of-interaction (DOI) and time-of-flight (TOF). The goal of this work is to develop a flexible image reconstruction framework and study the image performance of the current ProVision scanners.
Approach: Experimental datasets, including point-like sources, an image quality phantom, and a pelvic phantom, were acquired using the ProVision scanner to investigate the impact of oblique lines of response introduced via a multi-offset scanning protocol. This approach aims to mitigate data truncation artifacts and further characterise the current imaging performance of the system. For image reconstruction, we applied the list-mode Maximum Likelihood Expectation Maximisation algorithm incorporating TOF information. The system matrix and sensitivity models account for both detector attenuation and position uncertainty.
Main Results: The scanner provides good spatial resolution on the coronal plane; however, elongations caused by the limited angular coverage distort the reconstructed images. The availability of TOF and DOI information, as well as the addition of a multi-offset scanning protocol, could not fully compensate for these distortions.
Significance: The ProVision scanner concept, with innovative detector technology, shows promising outcomes for fast and inexpensive PET without CT. Despite current limitations due to limited angular coverage, which leads to image distortions, ongoing advancements, such as improved timing resolution, regularisation techniques, and artificial intelligence, are expected to significantly reduce these artifacts and enhance image quality.
OriginalspracheEnglisch
Aufsatznummer185001
ZeitschriftPhysics in Medicine and Biology
Jahrgang70
Ausgabenummer18
ISSN0031-9155
DOIs
PublikationsstatusVeröffentlicht - 21.09.2025

Fördermittel

The work was partly supported by DFG Cluster of Excellence EXC 2167. The authors gratefully acknowledge the computing time made available to them on the high-performance computer ‘Lise’ at the NHR center NHR@ZIB, Project No. shb00004. This center is jointly supported by the Federal Ministry of Education and Research and the state governments participating in the NHR (www.nhr-verein.de). Picotech acknowledges the support from Eureka Eurostars E! 114021 ProVision project. The authors thank Mehdi Amini, Hossein Arabi, Abdollah Saberi Manesh, and Habib Zaidi from the Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, Switzerland, for their support with DAQ. We gratefully acknowledge the German Cancer Research Center (DKFZ), Heidelberg, Germany, for lending us the ADAM-PETer phantom used in this study.

TrägerTrägernummer
Eurostars
NHR
Mehdi Amini
Bundesministerium für Bildung und Forschung
Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital
Deutsches Krebsforschungszentrum
Deutsche ForschungsgemeinschaftEXC 2167
NHR center NHR@ZIBshb00004

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    1. SDG 3 – Gesundheit und Wohlergehen
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    Strategische Forschungsbereiche und Zentren

    • Forschungsschwerpunkt: Biomedizintechnik

    DFG-Fachsystematik

    • 2.22-32 Medizinische Physik, Biomedizinische Technik

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