PURPOSE: 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. METHODS: 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(0) inhomogeneity, EPI, and parallel imaging performance were evaluated. RESULTS: 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 3Â h. On the Sola, the average distortion is 1Â mm for imaging radii of 250Â mm or less. For radii of up to 200Â mm, the maximum, average (standard deviation) distortion is 1.2Â and 0.4Â mm (0.3Â mm). Aera values are roughly double the Sola for radii up to 200Â 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. CONCLUSION: 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(0) field than the Aera.
Commissioning and implementing a Quality Assurance program for dedicated radiation oncology MRI scanners.
阅读:7
作者:Poulin Eric, Lacroix Frederic, Archambault Louis, Jutras Jean-David
| 期刊: | Journal of Applied Clinical Medical Physics | 影响因子: | 2.200 |
| 时间: | 2024 | 起止号: | 2024 Mar;25(3):e14185 |
| doi: | 10.1002/acm2.14185 | ||
特别声明
1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。
2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。
3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。
4、投稿及合作请联系:info@biocloudy.com。
