Vrachliotis Alexandros, Gaitanis Anastasios, Protonotarios Nicholas E, Kastis George A, Costaridou Lena
Department of Medical Physics, School of Medicine, University of Patras, 26504 Patras, Greece.
Clinical, Experimental Surgery & Translational Research, Biomedical Research Foundation (BRFAA), Academy of Athens, 4 Soranou Ephessiou, 11527 Athens, Greece.
J Imaging. 2024 Jul 16;10(7):170. doi: 10.3390/jimaging10070170.
The spline reconstruction technique (SRT) is a fast algorithm based on a novel numerical implementation of an analytic representation of the inverse Radon transform. The purpose of this study was to compare the SRT, filtered back-projection (FBP), and the Tera-Tomo 3D algorithm for various iteration numbers, using small-animal dynamic PET data obtained from a Mediso nanoScan PET/CT scanner. For this purpose, Patlak graphical kinetic analysis was employed to noninvasively quantify the myocardial metabolic rate of glucose (MRGlu) in seven male C57BL/6 mice (n=7). All analytic reconstructions were performed via software for tomographic image reconstruction. The analysis of all PET-reconstructed images was conducted with PMOD software (version 3.506, PMOD Technologies LLC, Fällanden, Switzerland) using the inferior vena cava as the image-derived input function. Statistical significance was determined by employing the one-way analysis of variance test. The results revealed that the differences between the values of MRGlu obtained via SRT versus FBP, and the variants of he Tera-Tomo 3D algorithm were not statistically significant ( > 0.05). Overall, the SRT appears to perform similarly to the other algorithms investigated, providing a valid alternative analytic method for preclinical dynamic PET studies.
样条重建技术(SRT)是一种基于逆拉东变换解析表示的新型数值实现的快速算法。本研究的目的是使用从Mediso nanoScan PET/CT扫描仪获得的小动物动态PET数据,比较不同迭代次数下的SRT、滤波反投影(FBP)和Tera-Tomo 3D算法。为此,采用Patlak图形动力学分析对7只雄性C57BL/6小鼠(n = 7)的心肌葡萄糖代谢率(MRGlu)进行无创定量。所有解析重建均通过断层图像重建软件进行。使用下腔静脉作为图像衍生输入函数,使用PMOD软件(版本3.506,PMOD Technologies LLC,瑞士费伦登)对所有PET重建图像进行分析。采用单因素方差分析检验确定统计学意义。结果显示,通过SRT与FBP以及Tera-Tomo 3D算法变体获得的MRGlu值之间的差异无统计学意义(> 0.05)。总体而言,SRT的表现似乎与所研究的其他算法相似,为临床前动态PET研究提供了一种有效的替代解析方法。