Evaluation of image quality with four positron emitters and three preclinical PET/CT systems

使用四种正电子发射体和三种临床前PET/CT系统评估图像质量

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Abstract

BACKGROUND: We investigated the image quality of (11)C, (68)Ga, (18)F and (89)Zr, which have different positron fractions, physical half-lifes and positron ranges. Three small animal positron emission tomography/computed tomography (PET/CT) systems were used in the evaluation, including the Siemens Inveon, RAYCAN X5 and Molecubes β-cube. The evaluation was performed on a single scanner level using the national electrical manufacturers association (NEMA) image quality phantom and analysis protocol. Acquisitions were performed with the standard NEMA protocol for (18)F and using a radionuclide-specific acquisition time for (11)C, (68)Ga and (89)Zr. Images were assessed using percent recovery coefficient (%RC), percentage standard deviation (%STD), image uniformity (%SD), spill-over ratio (SOR) and evaluation of image quantification. RESULTS: (68)Ga had the lowest %RC (< 62%) across all systems. (18)F had the highest maximum %RC (> 85%) and lowest %STD for the 5 mm rod across all systems. For (11)C and (89)Zr, the maximum %RC was close (> 76%) to the %RC with (18)F. A larger SOR were measured in water with (11)C and (68)Ga compared to (18)F on all systems. SOR in air reflected image reconstruction and data correction performance. Large variation in image quantification was observed, with maximal errors of 22.73% ((89)Zr, Inveon), 17.54% ((89)Zr, RAYCAN) and - 14.87% ((68)Ga, Molecubes). CONCLUSIONS: The systems performed most optimal in terms of NEMA image quality parameters when using (18)F, where (11)C and (89)Zr performed slightly worse than (18)F. The performance was least optimal when using (68)Ga, due to large positron range. The large quantification differences prompt optimization not only by terms of image quality but also quantification. Further investigation should be performed to find an appropriate calibration and harmonization protocol and the evaluation should be conducted on a multi-scanner and multi-center level.

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