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使用无模体实时延迟校正 EPID 图像进行轨迹日志验证的新型质量保证程序。

A novel quality assurance procedure for trajectory log validation using phantom-less real-time latency corrected EPID images.

机构信息

Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.

School of Mathematical and Physical Sciences, University of Newcastle, Newcastle, NSW, Australia.

出版信息

J Appl Clin Med Phys. 2021 Mar;22(3):176-185. doi: 10.1002/acm2.13202. Epub 2021 Feb 26.

DOI:10.1002/acm2.13202
PMID:33634952
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7984475/
Abstract

The use of trajectory log files for routine patient quality assurance is gaining acceptance. Such use requires the validation of the trajectory log itself. However, the accurate localization of a multileaf collimator (MLC) leaf while it is in motion remains a challenging task. We propose an efficient phantom-less technique using the EPID to verify the dynamic MLC positions with high accuracy. Measurements were made on four Varian TrueBeams equipped with M120 MLCs. Two machines were equipped with the S1000 EPID; two were equipped with the S1200 EPID. All EPIDs were geometrically corrected prior to measurements. Dosimetry mode EPID measurements were captured by a frame grabber card directly linked to the linac. All leaf position measurements were corrected both temporally and geometrically. The readout latency of each panel, as a function of pixel row, was determined using a 40 × 1.0 cm sliding window (SW) field moving at 2.5 cm/s orthogonal to the row readout direction. The latency of each panel type was determined by averaging the results of two panels of the same type. Geometric correction was achieved by computing leaf positions with respect to the projected isocenter position as a function of gantry angle. This was determined by averaging the central axis position of fields at two collimator positions of 90° and 270°. The radiological to physical leaf end position was determined by comparison of the measured gap with that determined using a feeler gauge. The radiological to physical leaf position difference was found to be 0.1 mm. With geometric and latency correction, the proposed method was found to be improve the ability to detect dynamic MLC positions from 1.0 to 0.2 mm for all leaves. Latency and panel residual geometric error correction improve EPID-based MLC position measurement. These improvements provide for the first time a trajectory log QA procedure.

摘要

轨迹日志文件用于常规患者质量保证正逐渐被接受。这种使用需要对轨迹日志本身进行验证。然而,当多叶准直器(MLC)叶片在运动时,准确地定位它仍然是一项具有挑战性的任务。我们提出了一种使用 EPID 进行高效无模技术,以高精度验证动态 MLC 位置。测量在四台配备 M120 MLC 的瓦里安 TrueBeams 机器上进行。两台配备 S1000 EPID;两台配备 S1200 EPID。在测量之前,所有 EPID 都进行了几何校正。在剂量测量模式下,EPID 测量由直接与直线加速器相连的帧抓取卡捕获。所有叶片位置测量均进行了时间和几何校正。使用在与行读出方向正交的方向上以 2.5 cm/s 的速度移动的 40×1.0 cm 滑动窗口(SW)场,确定了每个面板的读出延迟,作为像素行的函数。通过对同一类型的两个面板的结果进行平均,确定了每个面板类型的延迟。通过计算相对于投射等中心位置的叶片位置来实现几何校正,作为机架角度的函数。这是通过平均两个准直器位置 90°和 270°的场的中心轴位置来确定的。通过将测量的间隙与使用测隙规确定的间隙进行比较,确定了放射学到物理叶片末端位置。发现放射学到物理叶片位置的差异为 0.1mm。通过几何和延迟校正,发现该方法能够将检测所有叶片的动态 MLC 位置的能力从 1.0 提高到 0.2mm。延迟和面板剩余几何误差校正提高了基于 EPID 的 MLC 位置测量。这些改进首次提供了一种轨迹日志 QA 程序。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24df/7984475/2cd51e0d3a00/ACM2-22-176-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24df/7984475/ee2533bd50fe/ACM2-22-176-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24df/7984475/ad4df038facf/ACM2-22-176-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24df/7984475/e869b2408e11/ACM2-22-176-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24df/7984475/1cd089f5afee/ACM2-22-176-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24df/7984475/0bd2b03c7859/ACM2-22-176-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24df/7984475/4fb11b26f662/ACM2-22-176-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24df/7984475/fca980e1f119/ACM2-22-176-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24df/7984475/fd831ff79cf0/ACM2-22-176-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24df/7984475/2cd51e0d3a00/ACM2-22-176-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24df/7984475/ee2533bd50fe/ACM2-22-176-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24df/7984475/ad4df038facf/ACM2-22-176-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24df/7984475/e869b2408e11/ACM2-22-176-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24df/7984475/1cd089f5afee/ACM2-22-176-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24df/7984475/0bd2b03c7859/ACM2-22-176-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24df/7984475/4fb11b26f662/ACM2-22-176-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24df/7984475/fca980e1f119/ACM2-22-176-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24df/7984475/fd831ff79cf0/ACM2-22-176-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24df/7984475/2cd51e0d3a00/ACM2-22-176-g003.jpg

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