Liu Paul Z Y, Shan Shanshan, Waddington David, Whelan Brendan, Dong Bin, Liney Gary, Keall Paul
Image X Institute, University of Sydney Central Clinical School, Sydney, NSW, Australia.
Department of Medical Physics, Ingham Institute for Applied Medical Research, Liverpool, NSW, Australia.
Phys Imaging Radiat Oncol. 2023 Jan 21;25:100414. doi: 10.1016/j.phro.2023.100414. eCollection 2023 Jan.
Magnetic resonance imaging (MRI)-Linac systems combine simultaneous MRI with radiation delivery, allowing treatments to be guided by anatomically detailed, real-time images. However, MRI can be degraded by geometric distortions that cause uncertainty between imaged and actual anatomy. In this work, we develop and integrate a real-time distortion correction method that enables accurate real-time adaptive radiotherapy.
The method was based on the pre-treatment calculation of distortion and the rapid correction of intrafraction images. A motion phantom was set up in an MRI-Linac at isocentre ( ), the edge ( ) and just outside ( ) the imaging volume. The target was irradiated and tracked during real-time adaptive radiotherapy with and without the distortion correction. The geometric tracking error and latency were derived from the measurements of the beam and target positions in the EPID images.
Without distortion correction, the mean geometric tracking error was 1.3 mm at and 3.1 mm at . When distortion correction was applied, the error was reduced to 1.0 mm at and 1.1 mm at . The corrected error was similar to an error of 0.9 mm at where the target was unaffected by distortion indicating that this method has accurately accounted for distortion during tracking. The latency was 319 ± 12 ms without distortion correction and 335 ± 34 ms with distortion correction.
We have demonstrated a real-time distortion correction method that maintains accurate radiation delivery to the target, even at treatment locations with large distortion.
磁共振成像(MRI)直线加速器系统将同步MRI与放射治疗相结合,使治疗能够在解剖结构详细的实时图像引导下进行。然而,MRI可能会因几何畸变而退化,这些畸变会导致成像解剖结构与实际解剖结构之间存在不确定性。在这项工作中,我们开发并集成了一种实时畸变校正方法,以实现精确的实时自适应放射治疗。
该方法基于治疗前的畸变计算和分次内图像的快速校正。在MRI直线加速器的等中心( )、成像体积边缘( )和成像体积外( )设置了一个运动体模。在有和没有畸变校正的实时自适应放射治疗过程中,对靶区进行照射和跟踪。几何跟踪误差和延迟是从EPID图像中光束和靶区位置的测量中得出的。
在没有畸变校正的情况下,等中心处的平均几何跟踪误差为1.3毫米,边缘处为3.1毫米。应用畸变校正后,等中心处的误差降至1.0毫米,边缘处降至1.1毫米。校正后的误差与靶区不受畸变影响时0.9毫米的误差相似,表明该方法在跟踪过程中准确地考虑了畸变。未校正畸变时的延迟为319±12毫秒,校正畸变时为335±34毫秒。
我们展示了一种实时畸变校正方法,即使在畸变较大的治疗位置,也能保持对靶区的精确放射治疗。