Bamneshin Khadijeh, Rabi Mahdavi Seied, Bitarafan-Rajabi Ahmad, Geramifar Parham, Hejazi Payman, Jadidi Majid
PhD, Department of Radiology Technology, Faculty of Allied Medical Sciences, Semnan University of Medical Sciences, Semnan, Iran.
PhD, Department of Medical Physics, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
J Biomed Phys Eng. 2022 Oct 1;12(5):497-504. doi: 10.31661/jbpe.v0i0.1912-1015. eCollection 2022 Oct.
Respiratory movement and the motion range of the diaphragm can affect the quality and quantity of prostate images.
This study aimed to investigate the magnitude of respiratory-induced errors to determine Dominant Intra- prostatic Lesions (DILs) in positron emission tomography (PET) images.
In this simulation study, we employed the 4D NURBS-based cardiac-torso (4D-NCAT) phantom with a realistic breathing model to simulate the respiratory cycles of a patient to assess the displacement, volume, maximum standardized uptake value (SUV), mean standardized uptake value (SUV), signal to noise ratio (SNR), and the contrast of DILs in frames within the respiratory cycle.
Respiration in a diaphragm motion resulted in the maximum superior-inferior displacement of 3.9 and 6.1 mm, and the diaphragm motion amplitudes of 20 and 35 mm. In a no-motion image, the volume measurement of DILs had the smallest percentage of errors. Compared with the no-motion method, the percentages of errors in the average method in 20 and 35 mm- diaphragm motion were 25% and 105%, respectively. The motion effect was significantly reduced in terms of the values of SUV and SUV in comparison with the values of SUV and SUV in no- motion images. The contrast values in respiratory cycle frames were at a range of 3.3-19.2 mm and 6.5-46 for diaphragm movements' amplitudes of 20 and 35 mm.
The respiratory movement errors in quantification and delineation of DILs were highly dependent on the range of motion, while the average method was not suitable to precisely delineate DILs in PET/CT in the dose-painting technique.
呼吸运动和膈肌的运动范围会影响前列腺图像的质量和数量。
本研究旨在调查呼吸引起的误差大小,以确定正电子发射断层扫描(PET)图像中的主要前列腺内病变(DILs)。
在本模拟研究中,我们使用基于4D NURBS的心脏-躯干(4D-NCAT)体模和逼真的呼吸模型来模拟患者的呼吸周期,以评估呼吸周期内各帧中DILs的位移、体积、最大标准化摄取值(SUV)、平均标准化摄取值(SUV)、信噪比(SNR)以及对比度。
膈肌运动引起的呼吸导致最大上下位移分别为3.9和6.1毫米,膈肌运动幅度分别为20和35毫米。在无运动图像中,DILs的体积测量误差百分比最小。与无运动方法相比,在膈肌运动幅度为20毫米和35毫米时,平均方法的误差百分比分别为25%和105%。与无运动图像中的SUV和SUV值相比,SUV和SUV值方面的运动效应显著降低。对于膈肌运动幅度为20毫米和35毫米的情况,呼吸周期各帧中的对比度值范围分别为3.3 - 19.2毫米和6.5 - 46。
DILs定量和勾画中的呼吸运动误差高度依赖于运动范围,而在剂量描绘技术中,平均方法不适用于在PET/CT中精确勾画DILs。