School of Mathematical and Physical Sciences, University of Newcastle, Newcastle, NSW, Australia.
Med Phys. 2012 Oct;39(10):6192-207. doi: 10.1118/1.4752207.
In advanced radiotherapy treatments such as intensity modulated radiation therapy (IMRT) and volumetric modulated arc therapy (VMAT), verification of the performance of the multileaf collimator (MLC) is an essential part of the linac QA program. The purpose of this study is to use the existing measurement methods for geometric QA of the MLCs and extend them to more comprehensive evaluation techniques, and to develop dedicated robust algorithms to quantitatively investigate the MLC performance in a fast, accurate, and efficient manner.
The behavior of leaves was investigated in the step-and-shoot mode by the analysis of integrated electronic portal imaging device (EPID) images acquired during picket fence tests at fixed gantry angles and arc delivery. The MLC was also studied in dynamic mode by the analysis of cine EPID images of a sliding gap pattern delivered in a variety of conditions including different leaf speeds, deliveries at fixed gantry angles or in arc mode, and changing the direction of leaf motion. The accuracy of the method was tested by detection of the intentionally inserted errors in the delivery patterns.
The algorithm developed for the picket fence analysis was able to find each individual leaf position, gap width, and leaf bank skewness in addition to the deviations from expected leaf positions with respect to the beam central axis with sub-pixel accuracy. For the three tested linacs over a period of 5 months, the maximum change in the gap width was 0.5 mm, the maximum deviation from the expected leaf positions was 0.1 mm and the MLC skewness was up to 0.2°. The algorithm developed for the sliding gap analysis could determine the velocity and acceleration∕deceleration of each individual leaf as well as the gap width. There was a slight decrease in the accuracy of leaf performance with increasing leaf speeds. The analysis results were presented through several graphs. The accuracy of the method was assessed as 0.01 mm for both the gap size and peak position determination.
This study provides fast, easy, and accurate test methods for routine QA of the MLC performance and helps in faster troubleshooting of MLC problems in both IMRT and VMAT treatments.
在调强放疗(IMRT)和容积旋转调强放疗(VMAT)等高级放疗治疗中,多叶准直器(MLC)性能的验证是直线加速器 QA 计划的重要组成部分。本研究旨在利用现有的 MLC 几何 QA 测量方法,并将其扩展到更全面的评估技术,开发专用的稳健算法,以快速、准确、高效地定量研究 MLC 的性能。
通过在固定机架角度和弧形输送期间采集的电子射野影像装置(EPID)图像的分析,研究了在步进和射击模式下叶片的行为。还通过在不同叶片速度、固定机架角度或弧形模式下输送以及改变叶片运动方向等多种条件下的滑动缝隙模式 cine EPID 图像的分析,研究了 MLC 的动态模式。通过检测输送模式中故意插入的误差,测试了该方法的准确性。
开发的用于栅栏分析的算法能够以亚像素精度找到每个单独的叶片位置、间隙宽度和叶片组的偏斜,以及相对于束中心轴的预期叶片位置的偏差。在 5 个月的时间内,对 3 台测试直线加速器进行了研究,最大的间隙宽度变化为 0.5 毫米,最大的预期叶片位置偏差为 0.1 毫米,MLC 偏斜度高达 0.2 度。开发的用于滑动缝隙分析的算法能够确定每个单独叶片的速度和加速度/减速度以及间隙宽度。随着叶片速度的增加,叶片性能的准确性略有下降。分析结果通过几个图表呈现。该方法的准确性评估为 0.01 毫米,用于确定间隙大小和峰值位置。
本研究为 MLC 性能的常规 QA 提供了快速、简便、准确的测试方法,并有助于更快地解决 IMRT 和 VMAT 治疗中 MLC 问题。