Poulin Eric, Lacroix Frederic, Archambault Louis, Jutras Jean-David
Département de physique, de génie physique et d'optique et Centre de recherche sur le cancer de l'Université Laval, Université Laval, Québec, Canada.
Département de radio-oncologie et Axe Oncologie du Centre de recherche du CHU de Québec, CHU de Québec-Université Laval, Québec, Canada.
J Appl Clin Med Phys. 2024 Mar;25(3):e14185. doi: 10.1002/acm2.14185. Epub 2024 Feb 8.
ACR and AAPM task group's guidelines addressing commissioning for dedicated MR simulators were recently published. The goal of the current paper is to present the authors' 2-year experience regarding the commissioning and introduction of a QA program based on these guidelines and an associated automated workflow.
All mandatory commissioning tests suggested by AAPM report 284 were performed and results are reported for two MRI scanners (MAGNETOM Sola and Aera). Visual inspection, vendor clinical or service platform, third-party software, or in-house python-based code were used. Automated QA and data analysis was performed via vendor, in-house or third-party software. QATrack+ was used for QA data logging and storage. 3D geometric distortion, B inhomogeneity, EPI, and parallel imaging performance were evaluated.
Contrasting with AAPM report 284 recommendations, homogeneity and RF tests were performed monthly. The QA program allowed us to detect major failures over time (shimming, gradient calibration and RF interference). Automated QA, data analysis, and logging allowed fast ACR analysis daily and monthly QA to be performed in 3 h. On the Sola, the average distortion is 1 mm for imaging radii of 250 mm or less. For radii of up to 200 mm, the maximum, average (standard deviation) distortion is 1.2 and 0.4 mm (0.3 mm). Aera values are roughly double the Sola for radii up to 200 mm. EPI geometric distortion, ghosting ratio, and long-term stability were found to be under the maximum recommended values. Parallel imaging SNR ratio was stable and close to the theoretical value (ideal g-factor). No major failures were detected during commissioning.
An automated workflow and enhanced QA program allowed to automatically track machine and environmental changes over time and to detect periodic failures and errors that might otherwise have gone unnoticed. The Sola is more geometrically accurate, with a more homogenous B field than the Aera.
美国放射学会(ACR)和美国医学物理学家协会(AAPM)任务组关于专用磁共振模拟定位仪调试的指南最近已发布。本文的目的是介绍作者基于这些指南及相关自动化工作流程进行调试和引入质量保证(QA)程序的两年经验。
执行了AAPM报告284中建议的所有强制性调试测试,并报告了两台磁共振成像(MRI)扫描仪(MAGNETOM Sola和Aera)的测试结果。使用了目视检查、供应商临床或服务平台、第三方软件或基于Python的内部代码。通过供应商、内部或第三方软件进行自动化QA和数据分析。使用QATrack+进行QA数据记录和存储。评估了三维几何畸变、磁场不均匀性、回波平面成像(EPI)和平行成像性能。
与AAPM报告284的建议不同,均匀性和射频测试每月进行一次。QA程序使我们能够随着时间的推移检测到重大故障(匀场、梯度校准和射频干扰)。自动化QA、数据分析和记录使得能够每天快速进行ACR分析,并在3小时内完成每月的QA。在Sola扫描仪上,对于成像半径为250毫米或更小的情况,平均畸变是1毫米。对于半径达200毫米的情况,最大、平均(标准差)畸变分别为1.2毫米和0.4毫米(0.3毫米)。对于半径达200毫米的情况,Aera扫描仪的值大约是Sola扫描仪的两倍。发现EPI几何畸变、鬼影率和长期稳定性低于最大推荐值。平行成像信噪比稳定且接近理论值(理想g因子)。调试期间未检测到重大故障。
自动化工作流程和强化的QA程序能够随时间自动跟踪机器和环境变化,并检测到那些否则可能未被注意到的周期性故障和错误。Sola扫描仪在几何精度上更高,其磁场比Aera扫描仪更均匀。