Kim Taeho, Lewis Benjamin, Lotey Rajiv, Barberi Enzo, Green Olga
Department of Radiation Oncology, Washington University School of Medicine, St Louis, MO, USA.
ViewRay Inc, Oakwood Village, OH, USA.
J Appl Clin Med Phys. 2021 Jan;22(1):128-136. doi: 10.1002/acm2.13118. Epub 2020 Dec 18.
In MRgRT, accuracy of treatment depends on the gating latency, when real-time targeting and gating is enabled. Gating latency is dependent on image acquisition, processing time, accuracy, efficacy of target tracking algorithms, and radiation beam delivery latency. In this report, clinical experience of the MRI QUASAR motion phantom for latency measurements on a 0.35-T magnetic resonance-linear accelerator (MR-LINAC) with two imaging speeds and four tracking algorithms was studied.
MATERIALS/METHODS: Beam-control latency was measured on a 0.35-T MR-LINAC system with four target tracking algorithms and two real-time cine imaging sequences [four and eight frames per second (FPS)]. Using an MR-compatible motion phantom, the delays between phantom beam triggering signal and linac radiation beam control signal were evaluated for three motion periods with a rigid target. The gating point was set to be 8 mm above the full exhalation position. The beam-off latency was measured for a total of 24 combinations of tracking algorithm, imaging FPS, and motion periods. The corresponding gating target margins were determined using the target motion speed multiplied by the beam-off latency.
The largest measured beam-off latency was 302 ± 20 ms with the Large Deforming Targets (LDT) algorithm and 4 s motion period imaged with 8-FPS cine MRI. The corresponding gating uncertainty based on target motion speed was 3.0 mm. The range of the average beam-off latency was 128-243 ms in 4-FPS imaging and 47-302 ms in 8-FPS imaging.
The gating latency was measured using an MRI QUASAR motion phantom in a 0.35-T MR-LINAC. The latency measurements include time delay related to MR imaging method, target tracking algorithm and system delay. The gating uncertainty was estimated based on the beam-off latency measurements and the target motion.
在磁共振引导放疗(MRgRT)中,启用实时靶向和门控时,治疗的准确性取决于门控延迟。门控延迟取决于图像采集、处理时间、准确性、目标跟踪算法的效能以及辐射束传输延迟。在本报告中,研究了使用MRI QUASAR运动体模在一台0.35-T磁共振直线加速器(MR-LINAC)上以两种成像速度和四种跟踪算法进行延迟测量的临床经验。
材料/方法:在一台0.35-T MR-LINAC系统上,使用四种目标跟踪算法和两个实时电影成像序列[每秒四帧和八帧(FPS)]测量束流控制延迟。使用与MR兼容的运动体模,针对刚性目标在三个运动周期内评估体模束触发信号与直线加速器辐射束控制信号之间的延迟。门控点设置在完全呼气位置上方8毫米处。总共对跟踪算法、成像FPS和运动周期的24种组合测量束流关闭延迟。使用目标运动速度乘以束流关闭延迟来确定相应的门控目标边界。
使用大变形目标(LDT)算法且以8-FPS电影MRI成像4秒运动周期时,测得的最大束流关闭延迟为302±20毫秒。基于目标运动速度的相应门控不确定性为3.0毫米。在4-FPS成像中,平均束流关闭延迟范围为128 - 243毫秒,在8-FPS成像中为47 - 302毫秒。
在一台0.35-T MR-LINAC中使用MRI QUASAR运动体模测量门控延迟。延迟测量包括与MR成像方法、目标跟踪算法和系统延迟相关的时间延迟。基于束流关闭延迟测量和目标运动估计门控不确定性。