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首页> 外文期刊>Physics in medicine and biology. >A monoscopic method for real-time tumour tracking using combined occasional x-ray imaging and continuous respiratory monitoring.
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A monoscopic method for real-time tumour tracking using combined occasional x-ray imaging and continuous respiratory monitoring.

机译:一种实时的肿瘤跟踪的单视场方法,结合使用了偶尔的X射线成像和连续呼吸监测。

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摘要

Three major linear accelerator vendors offer gantry-mounted single (monoscopic) x-ray imagers. The use of monoscopic imaging to estimate three-dimensional (3D) target positions has not been fully explored. The purpose of this work is to develop and investigate a robust monoscopic method for real-time tumour tracking, combining occasional x-ray imaging and continuous external respiratory monitoring, and compare this with an established stereoscopic method. Monoscopic estimation of 3D target positions is a two-step procedure. Step (1) is similar to the stereoscopic approach using combined occasional x-ray imaging and real-time external respiratory monitoring, i.e. to establish the correlation between the target coordinates T(x, y, z) and the external respiratory signal (R) (sECM: stereoscopic external correlation model). However, in monoscopic estimation, the correlation between the two coordinates (xp, yp) projected on the imager plane and the external respiratory signal (mECM: monoscopic external correlation model) is established. With only a single projection, the component of the 3D target position, which is along the x-ray imaging direction, is unresolved. Therefore, step (2) is used to estimate the unresolved component (z( parallel)) by building a correlation model between the unresolved component and the two other components projected on the imager (ICM: internal correlation model) with a prior 3D target trajectory that may be obtained by 4DCT, MV/kV imaging or 4DCBCT. At the time of prediction, (xp, yp) are estimated from (R) using the correlation model in step (1), and then z( parallel) is estimated from the estimated (xp, yp) using the correlation model in step (2). The performance of the proposed method was evaluated under various model update intervals and compared with the stereoscopic estimation method using 160 tumour trajectory and external respiratory motion data recorded at 25 Hz from 46 thoracic and abdominal cancer patients who underwent hypofractionated stereotactic radiotherapy by a CyberKnife system. The precision of the input data used in this study to represent tumour motion was assessed using x-ray imaging to be 1.5 +/- 0.8 mm. Monoscopic imaging every 30/60 s with updating ICM every 120/180 s can estimate target positions with a 1 mm root-mean-square error (RMSE) for 63/53% or a 2 mm RMSE for 93/91%, respectively. In contrast, stereoscopic x-ray imaging every 30/60 s can estimate target motion within a 1 mm RMSE for 72/58% or a 2 mm RMSE for 95/92%, respectively. The overall 3D error of the monoscopic estimation is approximately 10% higher than comparable stereoscopic imaging methods when the period between imaging is 1 s or more, and 40% higher for continuous imaging. The promising result may be explained by the fact that superior/inferior motion-the major axis of tumour motion-is fully resolved even in the monoscopic view for coplanar treatments, and tumour motion in each dimension is relatively well correlated.
机译:三个主要的线性加速器供应商提供了安装在机架上的单(单视)X射线成像仪。单视场成像估计三维(3D)目标位置的使用尚未完全探讨。这项工作的目的是开发和研究用于实时肿瘤跟踪的可靠的单视场方法,将偶然的X射线成像和连续的外部呼吸监测相结合,并将其与已建立的立体方法进行比较。 3D目标位置的单视估计是一个两步过程。步骤(1)类似于使用偶尔的X射线成像和实时外部呼吸监测相结合的立体方法,即建立目标坐标T(x,y,z)与外部呼吸信号(R)之间的相关性(sECM:立体外部相关模型)。但是,在单视估计中,建立了投影在成像器平面上的两个坐标(xp,yp)与外部呼吸信号(mECM:单视外部相关模型)之间的相关性。仅通过单个投影,就无法解析沿着X射线成像方向的3D目标位置的分量。因此,步骤(2)用于通过建立未解析分量与投影在具有先前3D目标轨迹的成像器上的两个其他分量之间的相关模型(ICM:内部相关模型)来估算未解析分量(z(并行))可以通过4DCT,MV / kV成像或4DCBCT获得。在预测时,在步骤(1)中使用相关模型从(R)估计(xp,yp),然后在步骤(1)中使用相关模型从估计(xp,yp)估计z(parallel)。 2)。在不同的模型更新间隔内评估了该方法的性能,并与立体估计方法进行了比较,该方法使用了通过Cyber​​Knife系统对46例进行了分级分割立体定向放射治疗的胸癌和腹癌患者的160条肿瘤轨迹和25 Hz记录的外部呼吸运动数据进行了比较。使用X射线成像评估本研究中用于表示肿瘤运动的输入数据的精度为1.5 +/- 0.8 mm。每30/60 s进行一次单眼成像,每120/180 s进行一次ICM更新,可以分别以63/53%的1 mm均方根误差(RMSE)或93/91%的2 mm RMSE估计目标位置。相比之下,每30/60 s的立体X射线成像可以分别在1mm RMSE内估计72/58%或在2mm RMSE内估计95/92%的目标运动。当成像之间的间隔为1 s或更长时,单视估计的总3D误差比同类立体成像方法高约10%,而连续成像则高40%。可以通过以下事实来解释有希望的结果:即使在单视镜下进行共面治疗,上/下运动(肿瘤运动的主轴)也可以完全分辨,并且各个方向上的肿瘤运动都具有相对良好的相关性。

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