Dong L, Boyer A L
Department of Radiation Physics, University of Texas M. D. Anderson Cancer Center, Houston 77030, USA.
Int J Radiat Oncol Biol Phys. 1995 Dec 1;33(5):1053-60. doi: 10.1016/0360-3016(95)02082-9.
To study a procedure that uses megavoltage digitally reconstructed radiographs (DRRs) calculated from patient's three-dimensional (3D) computed tomography (CT) data as a reference image for correlation with on-line electronic portal images (EPIs) to detect patient setup errors.
Megavoltage DRRs were generated by ray tracing through a modified volumetric CT data set in which CT numbers were converted into linear attenuation coefficients for the therapeutic beam energy. The DRR transmission image was transformed to the grayscale window of the EPI by a histogram-matching technique. An alternative approach was to calibrate the transmission DRR using a measured response curve of the electronic portal imaging device (EPID). This forces the calculated transmission fluence values to be distributed in the same range as that of the EPID image. A cross-correlation technique was used to determine the degree of alignment of the patient anatomy found in the EPID image relative to the reference DRR.
Phantom studies demonstrated that the correlation procedure had a standard deviation of 0.5 mm and 0.5 degrees in aligning translational shifts and in-plane rotations. Systematic errors were found between a reference DRR and a reference EPID image. The automated grayscale image-correlation process was completed within 3 s on a workstation computer or 12 s on a PC.
The alignment procedure allows the direct comparison of a patient's treatment portal designed with a 3D planning computer with a patient's on-line portal image acquired at the treatment unit. The image registration process is automated to the extent that it requires minimal user intervention, and it is fast and accurate enough for on-line clinical applications.
研究一种程序,该程序使用根据患者的三维(3D)计算机断层扫描(CT)数据计算得出的兆伏级数字重建射线照片(DRR)作为参考图像,与在线电子门静脉图像(EPI)进行关联,以检测患者摆位误差。
通过对修改后的容积CT数据集进行光线追踪生成兆伏级DRR,其中CT值被转换为治疗束能量的线性衰减系数。通过直方图匹配技术将DRR透射图像转换为EPI的灰度窗口。另一种方法是使用电子门静脉成像设备(EPID)的测量响应曲线校准透射DRR。这迫使计算出的透射注量值分布在与EPID图像相同的范围内。使用互相关技术确定在EPID图像中发现的患者解剖结构相对于参考DRR的对齐程度。
模体研究表明,在对齐平移和平面内旋转时,相关程序的标准偏差为0.5毫米和0.5度。在参考DRR和参考EPID图像之间发现了系统误差。在工作站计算机上,自动灰度图像相关过程在3秒内完成,在个人计算机上则在12秒内完成。
该对齐程序允许将使用3D规划计算机设计的患者治疗门静脉与在治疗单元获取的患者在线门静脉图像进行直接比较。图像配准过程实现了自动化,所需的用户干预最少,并且对于在线临床应用来说足够快速和准确。