Xia Wenyao, Breen Stephen L
University Health Network, Princess Margaret Cancer Centre, Department of Radiation Physics, Toronto, Ontario, Canada.
Western University, Robarts Research Institute, London, Ontario, Canada.
J Med Imaging (Bellingham). 2018 Apr;5(2):021221. doi: 10.1117/1.JMI.5.2.021221. Epub 2018 Mar 14.
Image guidance with cone beam computed tomography in radiotherapy can guarantee the precision and accuracy of patient positioning prior to treatment delivery. During the image guidance process, operators need to take great effort to evaluate the image guidance quality before correcting a patient's position. This work proposes an image registration assessment method based on control chart monitoring to reduce the effort taken by the operator. According to the control chart plotted by daily registration scores of each patient, the proposed method can quickly detect both alignment errors and image quality inconsistency. Therefore, the proposed method can provide a clear guideline for the operators to identify unacceptable image quality and unacceptable image registration with minimal effort. Experimental results demonstrate that by using control charts from a clinical database of 10 patients undergoing prostate radiotherapy, the proposed method can quickly identify out-of-control signals and find special cause of out-of-control registration events.
在放射治疗中,使用锥形束计算机断层扫描进行图像引导可以确保在治疗实施前患者定位的精度和准确性。在图像引导过程中,操作人员在纠正患者位置之前需要付出很大努力来评估图像引导质量。这项工作提出了一种基于控制图监测的图像配准评估方法,以减少操作人员的工作量。根据为每位患者的每日配准分数绘制的控制图,该方法可以快速检测到对准误差和图像质量不一致性。因此,该方法可以为操作人员提供明确的指导方针,使其能够以最小的工作量识别出不可接受的图像质量和不可接受的图像配准。实验结果表明,通过使用来自10名接受前列腺放疗患者的临床数据库的控制图,该方法可以快速识别失控信号并找出失控配准事件的特殊原因。