Abstract
Background: The distance traveled by the positron before annihilation with an electron, the so-called positron range, negatively effects the positron emission tomography (PET) image quality for radionuclides emitting high-energy positrons such as Gallium-68 (68Ga). Purpose: In this study, the effect of a tissue-independent positron range correction for Gallium-68 (68Ga-PRC) was investigated based on phantom measurements. The effect of the 68Ga-PRC was also explored in four patients. Methods: The positron range distribution profile of 68Ga in water was generated via Monte Carlo simulation. That profile was mapped to a spatially invariant 3D convolution kernel which was incorporated in the OSEM and Q.Clear reconstruction algorithms to perform the 68Ga-PRC. In addition, each reconstruction method included point spread function (PSF) modeling and time-of-flight information. For both Fluorine-18 (18F) and 68Ga, the NEMA IQ phantom was filled with a sphere-to-background ratio of 10:1 and scanned with the GE Discovery MI 5R PET/CT system. Standard non-positron range correction (PRC) reconstructions were performed for both radionuclides, while also PRC reconstructions were performed for 68Ga. Reconstructions parameters (OSEM: number of updates, Q.Clear: beta value) were adapted to achieve similar noise levels between the corresponding reconstructions. The effect of 68Ga-PRC was assessed for both OSEM and Q.Clear reconstructions and compared to non-PRC reconstructions for 68Ga and 18F in terms of image contrast, noise, recovery coefficient (RC), and spatial resolution. For the clinical validation, 68Ga-labeled prostate-specific membrane antigen (68Ga-PSMA) and 68Ga-DOTATOC PET scans were included of two patients each. For each PET scan, patients were injected with 1.5 MBq/kg of 68Ga-PSMA or 68Ga-DOTATOC and the contrast-to-noise ratio (CNR) was calculated and compared to the non-PRC reconstructions. Results: For OSEM reconstructions, including the 68Ga-PRC improved the RC by 9.4% (3.7%–19.3%) and spatial resolution by 21.7% (4.6 mm vs. 3.6 mm) for similar noise levels. For Q.Clear reconstructions, 68Ga-PRC modeling improved the RC by 6.7% (2.8%–10.5%) and spatial resolution by 15.3% (5.9 mm vs. 5.0 mm) while obtaining similar noise levels. In the patient data, the use of 68Ga-PRC enhanced the CNR by 13.2%. Conclusions: Including 68Ga-PRC in the PET reconstruction enhanced the image quality of 68Ga PET data compared to the standard non-PRC reconstructions for similar noise levels. Limited patient results also supported this improvement.
Original language | English |
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Pages (from-to) | 5927-5942 |
Number of pages | 16 |
Journal | Medical Physics |
Volume | 51 |
Issue number | 9 |
DOIs | |
State | Published - Sep 2024 |
Funding
We thank all the technicians of the department of radiology and nuclear medicine in MUMC+ for their assistance in collecting the patient data. This research was partially funded by an institutional grant to the department of radiology and nuclear medicine, Maastricht by GE Healthcare. Felix M. Mottaghy is medical advisor for NanoMab Technology Ltd. and Advanced Accelerator Applications (AAA) GmbH/Novartis and has recently received institutional grants from NanoMab Technology Ltd., Siemens, and GE Precision Healthcare LLC. He is also supported by the German Research Foundation (DFG) within the framework of the Research Training Group 2375 \u201CTumor\u2010targeted Drug Delivery\u201D (grant 331065168), the Clinical Research Unit CRU 5011 \u201CIntegrating emerging methods to advance translational kidney research (InteraKD)\u201D (project 445703531), and the Research Unit 2591 \u201CSeverity assessment in animal\u2010based research\u201D (project 321137804). In addition, his research is funded by German Cancer Aid (projects 70113779 and 70113780) and the German Federal Ministry of Research and Education (project 16GW0319K). Floris P. Jansen is employee of GE HealthCare. Timothy W. Deller was formerly employed by GE HealthCare. The other authors declare no conflict of interest.
Keywords
- Gallium-68
- OSEM
- Q.Clear
- positron emission tomography
- positron range
- positron range correction