Mohymen Ahmed Abdel, Farag Hamed Ibrahim, Reda Sameh M, Monem Ahmed Soltan, Ali Said Abdelfattah
Department of Nuclear Medicine and Radiation Therapy, National Cancer Institute, Cairo University, Cairo, Egypt.
Department of Radiometry, National Institute of Standards, Giza, Egypt.
J Med Phys. 2025 Jan-Mar;50(1):118-130. doi: 10.4103/jmp.jmp_167_24. Epub 2025 Feb 24.
This study aimed to optimize the quantitative aspects of (F) fluorodeoxyglucose (FDG) positron emission tomography (PET)/computed tomography (CT) imaging by investigating the impact of various reconstruction parameters on the recovery coefficients (RCs) using the NEMA image quality phantom. Specifically, the study aims to assess how different matrix sizes, iterations, subsets, and Gaussian postfilters affect the accuracy of standardized uptake value (SUV) quantification in (F) FDG PET/CT imaging.
The study utilized the "Vue Point FX + Sharp IR" algorithm for PET image reconstruction, incorporating 3D-ordered subset expectation maximization (3D-OSEM), time-of-flight, and point spread function technologies. Various reconstruction parameters were explored, including two distinct matrix sizes, multiple iterations, subsets, and a wide range of Gaussian postfilters. The investigation focused on the impact of these parameters on RCs using the NEMA image quality phantom.
The results of the study indicated that for accurate SUV quantification in spheres ≥17 mm, the 256 × 256 matrix size and mean SUV should be employed. Conversely, for spheres ≤13 mm, maximum SUV was found to be more suitable. The choice of postfiltering value was shown to have a significant impact on SUV quantification accuracy, particularly for small-sized spheres. In addition, a larger matrix size was found to partially mitigate the effects of Gibbs artifact and slightly enhance SUV quantification for the spheres of various sizes.
This study highlights the critical importance of optimizing PET reconstruction parameters in accordance with the guidelines set by European Association of Nuclear Medicine/EARL. By optimizing these parameters, the accuracy and reliability of SUV quantification in (F) FDG PET imaging can be significantly enhanced, especially for small-sized spheres. This underscores the necessity of carefully considering reconstruction parameters to ensure precise and reliable quantitative measurements in PET/CT imaging.
本研究旨在通过使用NEMA图像质量体模研究各种重建参数对恢复系数（RC）的影响，以优化（F）氟脱氧葡萄糖（FDG）正电子发射断层扫描（PET）/计算机断层扫描（CT）成像的定量方面。具体而言，该研究旨在评估不同的矩阵大小、迭代次数、子集数量和高斯后置滤波器如何影响（F）FDG PET/CT成像中标准化摄取值（SUV）定量的准确性。
本研究采用“Vue Point FX + Sharp IR”算法进行PET图像重建，该算法结合了三维有序子集期望最大化（3D-OSEM）、飞行时间和点扩散函数技术。探索了各种重建参数，包括两种不同的矩阵大小、多个迭代次数、子集数量以及广泛的高斯后置滤波器。该研究使用NEMA图像质量体模重点研究了这些参数对RC的影响。
研究结果表明，对于直径≥17 mm的球体，要进行准确的SUV定量，应采用256×256的矩阵大小和平均SUV。相反，对于直径≤13 mm的球体，发现最大SUV更合适。结果显示，后置滤波值的选择对SUV定量准确性有显著影响，特别是对于小尺寸球体。此外，发现较大的矩阵大小可部分减轻吉布斯伪影的影响，并略微提高各种尺寸球体的SUV定量。
本研究强调了根据欧洲核医学协会/EARL制定的指南优化PET重建参数的至关重要性。通过优化这些参数，（F）FDG PET成像中SUV定量的准确性和可靠性可显著提高，尤其是对于小尺寸球体。这突出了仔细考虑重建参数以确保PET/CT成像中精确可靠的定量测量的必要性。
