Abstract
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.
| Originalsprache | Englisch |
|---|---|
| Aufsatznummer | 185001 |
| Zeitschrift | Physics in Medicine and Biology |
| Jahrgang | 70 |
| Ausgabenummer | 18 |
| ISSN | 0031-9155 |
| DOIs | |
| Publikationsstatus | Veröffentlicht - 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.
| Träger | Trägernummer |
|---|---|
| Eurostars | |
| NHR | |
| Mehdi Amini | |
| Bundesministerium für Bildung und Forschung | |
| Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital | |
| Deutsches Krebsforschungszentrum | |
| Deutsche Forschungsgemeinschaft | EXC 2167 |
| NHR center NHR@ZIB | shb00004 |
UN SDGs
Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung
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SDG 3 – Gesundheit und Wohlergehen
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SDG 9 – Industrie, Innovation und Infrastruktur
Strategische Forschungsbereiche und Zentren
- Forschungsschwerpunkt: Biomedizintechnik
DFG-Fachsystematik
- 2.22-32 Medizinische Physik, Biomedizinische Technik
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