Department of Medical Radiation Physics, Department of Health, Medicine and Caring Sciences, Linköping University, 58185 Linköping, Sweden.
Centre for Medical Image Science and Visualisation (CMIV), Linköping University, 58185 Linköping, Sweden.
Radiat Prot Dosimetry. 2021 Oct 12;195(3-4):407-415. doi: 10.1093/rpd/ncaa222.
Visibility of low-contrast details in fluoroscopy and interventional radiology is important. Assessing detail visibility with human observers typically suffers from large observer variances. Objective, quantitative measurement of low-contrast detail visibility using a model observer, such as the square of the signal-to-noise ratio rate (SNR2rate), was implemented in MATLAB™ and evaluated. The expected linear response of SNR2rate based on predictions by the so-called Rose model and frame statistics was verified. The uncertainty in the measurement of SNR2rate for a fixed imaging geometry was 6% based on 16 repeated measurements. The results show that, as expected, reduced object thickness and x-ray field size substantially improved SNR2rate/PKA,rate with PKA,rate being the air kerma area product rate. The measurement precision in SNR2rate/PKA,rate (8-9%) is sufficient to detect small but important improvements, may guide the selection of better imaging settings and provides a tool for teaching good radiological imaging techniques to clinical staff.
在透视和介入放射学中,低对比度细节的可见度很重要。使用人类观察者评估细节可见度通常会受到观察者差异的影响。使用模型观察者(例如信噪比平方率 (SNR2rate))对低对比度细节可见度进行客观、定量测量已在 MATLAB™ 中实现并进行了评估。验证了 SNR2rate 的预期线性响应基于所谓的 Rose 模型和帧统计的预测。对于固定成像几何形状,SNR2rate 的测量不确定性基于 16 次重复测量为 6%。结果表明,正如预期的那样,物体厚度和 X 射线射野尺寸的减小大大提高了 SNR2rate/PKA,rate,其中 PKA,rate 是空气比释动能面积产物率。SNR2rate/PKA,rate 的测量精度(8-9%)足以检测到较小但很重要的改进,可能有助于选择更好的成像设置,并为向临床工作人员传授良好的放射成像技术提供了一种工具。