Raj Sathiya, Shree Nithya, Kadirampatti Ganesh
Radiation Physics Kidwai Memorial Institute of Oncology Bangalore India.
Precis Radiat Oncol. 2024 Aug 11;8(3):132-137. doi: 10.1002/pro6.1236. eCollection 2024 Sep.
This study investigates three different calibration methods for the selection of background pixel intensity.
Film-by-Film (FBF) Method: Each film serves as its own control. Batch-by-Film (BBF) Method: A single film is used as a control for all calibration films. Generic (GEN) Method: A generic value (65535) is used as the background pixel value for all calibration films.Three calibration curves were established for the red, green, blue, and RGB channels, and the Radbard NIH (image) curve-fitting model was used to predict the dose. Sensitivity at different dose levels was quantified by calculating the first derivative of each color channel.
The GEN method exhibited a difference of up to 6% between the predicted and delivered doses below 2 Gy. The changes in optical density when using the GEN method differed significantly (<0.0001) from those of the FBF and BBF methods. In the dose range 5-30 Gy, the percentage difference between the predicted and delivered doses for the FBF, BBF, and GEN methods was within 2%. Both the red and green channels demonstrated higher sensitivity than the blue channel over the dose range of 2-30 Gy.
The FBF method is more accurate than the BBF and GEN methods because it accounts for inter-film variations. The Radbard NIH (image) curve-fitting function proved suitable for predicting the dose for all the three calibration methods.
本研究调查了三种不同的校准方法以选择背景像素强度。
逐片(FBF)法:每片胶片作为自身的对照。逐批(BBF)法:用单张胶片作为所有校准胶片的对照。通用(GEN)法:将通用值(65535)用作所有校准胶片的背景像素值。针对红、绿、蓝和RGB通道建立了三条校准曲线,并使用Radbard NIH(图像)曲线拟合模型来预测剂量。通过计算每个颜色通道的一阶导数来量化不同剂量水平下的灵敏度。
在2 Gy以下,GEN法预测剂量与实际给予剂量之间的差异高达6%。使用GEN法时的光密度变化与FBF法和BBF法的光密度变化有显著差异(<0.0001)。在5 - 30 Gy的剂量范围内,FBF法、BBF法和GEN法预测剂量与实际给予剂量之间的百分比差异在2%以内。在2 - 30 Gy的剂量范围内,红色和绿色通道均显示出比蓝色通道更高的灵敏度。
FBF法比BBF法和GEN法更准确,因为它考虑了胶片间的差异。Radbard NIH(图像)曲线拟合函数被证明适用于预测所有三种校准方法的剂量。