Medical Physics, Ninewells Hospital and Medical School, Ninewells Avenue, Dundee, Scotland.
Thirlestaine Breast Centre, Cheltenham General Hospital, Cheltenham, England.
Br J Radiol. 2020 Jul;93(1111):20200010. doi: 10.1259/bjr.20200010. Epub 2020 Apr 17.
A computational model has been created to estimate the abdominal thickness of a patient following an X-ray examination; its intended application is assisting with patient dose audit of paediatric X-ray examinations. This work evaluates the accuracy of the computational model in a clinical setting for adult patients undergoing anteroposterior (AP) abdomen X-ray examinations.
The model estimates patient thickness using the radiographic image, the exposure factors with which the image was acquired, a priori knowledge of the characteristics of the X-ray unit and detector and the results of extensive Monte Carlo simulation of patient examinations. For 20 patients undergoing AP abdominal X-ray examinations, the model was used to estimate the patient thickness; these estimates were compared against a direct measurement made at the time of the examination.
Estimates of patient thickness made using the model were on average within ±5.8% of the measured thickness.
The model can be used to accurately estimate the thickness of a patient undergoing an AP abdominal X-ray examination where the patient's size falls within the range of the size of patients used to create the computational model.
This work demonstrates that it is possible to accurately estimate the AP abdominal thickness of an adult patient using the digital X-ray image and a computational model.
创建了一个计算模型，用于估算 X 射线检查后患者的腹部厚度；其预期应用是协助进行儿科 X 射线检查的患者剂量审核。本工作评估了该计算模型在进行前后位（AP）腹部 X 射线检查的成年患者临床环境中的准确性。
该模型使用射线照相图像、获取图像的曝光参数、射线机和探测器的特征的先验知识以及对患者检查的广泛蒙特卡罗模拟的结果来估计患者的厚度。对于 20 名接受 AP 腹部 X 射线检查的患者，使用该模型估算患者的厚度；将这些估算值与在检查时进行的直接测量值进行比较。
使用模型估算的患者厚度平均在测量厚度的±5.8%以内。
在创建计算模型所使用的患者尺寸范围内，该模型可用于准确估计接受 AP 腹部 X 射线检查的患者的厚度。
本工作证明，使用数字 X 射线图像和计算模型可以准确估计成年患者的 AP 腹部厚度。
