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基于 MR 直线加速器的基于切片的 4D-MRI 中的几何图像失真校正。

Correcting geometric image distortions in slice-based 4D-MRI on the MR-linac.

机构信息

Department of Radiation Oncology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066, CX Amsterdam, The Netherlands.

出版信息

Med Phys. 2019 Jul;46(7):3044-3054. doi: 10.1002/mp.13602. Epub 2019 Jun 7.

DOI:10.1002/mp.13602
PMID:31111494
Abstract

PURPOSE

The importance of four-dimensional-magnetic resonance imaging (4D-MRI) is increasing in guiding online plan adaptation in thoracic and abdominal radiotherapy. Many 4D-MRI sequences are based on multislice two-dimensional (2D) acquisitions which provide contrast flexibility. Intrinsic to MRI, however, are machine- and subject-related geometric image distortions. Full correction of slice-based 4D-MRIs acquired on the Unity MR-linac (Elekta AB, Stockholm, Sweden) is challenging, since through-plane corrections are currently not available for 2D sequences. In this study, we implement a full three-dimensional 3D correction and quantify the geometric and dosimetric effects of machine-related (residual) geometric image distortions.

METHODS

A commercial three-dimensional (3D) geometric QA phantom (Philips, Best, the Netherlands) was used to quantify the effect of gradient nonlinearity (GNL) and static-field inhomogeneity (B0I) on geometric accuracy. Additionally, the effectiveness of 2D (in-plane, machine-generic), 3D (machine-generic), and in-house developed 3D (machine-specific) corrections was investigated. Corrections were based on deformable vector fields derived from spherical harmonics coefficients. Three patients with oligometastases in the liver were scanned with axial 4D-MRIs on our MR-linac (total: 10 imaging sessions). For each patient, a step-and-shoot IMRT plan (3 × 20 Gy) was created based on the simulation mid-position (midP)-CT. The 4D-MRIs were then warped into a daily midP-MRI and geometrically corrected. Next, the treatment plan was adapted according to the position offset of the tumor between midP-CT and the 3D-corrected midP-MRIs. The midP-CT was also deformably registered to the daily midP-MRIs (different corrections applied) to quantify the dosimetric effects of (residual) geometric image distortions.

RESULTS

Using phantom data, median GNL distortions were 0.58 mm (no correction), 0.42-0.48 mm (2D), 0.34 mm (3D), and 0.34 mm (3D ), measured over a diameter of spherical volume (DSV) of 200 mm. Median B0I distortions were 0.09 mm for the same DSV. For DSVs up to 500 mm, through-plane corrections are necessary to keep the median residual GNL distortion below 1 mm. 3D and 3D corrections agreed within 0.15 mm. 2D-corrected images featured uncorrected through-plane distortions of up to 21.11 mm at a distance of 20-25 cm from the machine's isocenter. Based on the 4D-MRI patient scans, the average external body contour distortions were 3.1 mm (uncorrected) and 1.2 mm (2D-corrected), with maximum local distortions of 9.5 mm in the uncorrected images. No (residual) distortions were visible for the metastases, which were all located within 10 cm of the machine's isocenter. The interquartile range (IQR) of dose differences between planned and daily dose caused by variable patient setup, patient anatomy, and online plan adaptation was 1.37 Gy/Fx for the PTV D95%. When comparing dose on 3D-corrected with uncorrected (2D-corrected) images, the IQR was 0.61 (0.31) Gy/Fx.

CONCLUSIONS

GNL is the main machine-related source of image distortions on the Unity MR-linac. For slice-based 4D-MRI, a full 3D correction can be applied after respiratory sorting to maximize spatial fidelity. The machine-specific 3D correction did not substantially reduce residual geometric distortions compared to the machine-generic 3D correction for our MR-linac. In our patients, dosimetric variations in the target not related to geometric distortions were larger than those caused by geometric distortions.

摘要

目的

四维磁共振成像(4D-MRI)在引导胸腹部放疗的在线计划适应中越来越重要。许多 4D-MRI 序列基于多切片二维(2D)采集,提供对比度灵活性。然而,MRI 固有的是机器和受试者相关的几何图像扭曲。在 Unity MR 直线加速器(Elekta AB,斯德哥尔摩,瑞典)上获取的基于切片的 4D-MRI 进行全校正具有挑战性,因为目前 2D 序列没有用于穿透平面的校正。在这项研究中,我们实施了完全的三维(3D)校正,并量化了机器相关(残余)几何图像扭曲的几何和剂量学效应。

方法

使用商业三维(3D)几何质量保证体模(飞利浦,贝斯特,荷兰)来量化梯度非线性(GNL)和静态场非均匀性(B0I)对几何精度的影响。此外,还研究了 2D(平面内,机器通用)、3D(机器通用)和内部开发的 3D(机器专用)校正的有效性。校正基于从球谐系数导出的可变形矢量场。对三名肝寡转移瘤患者进行了轴向 4D-MRI 扫描,共进行了 10 次成像。对每位患者,根据模拟中位置(midP)-CT 创建了一个步进射击调强放疗计划(3×20 Gy)。然后将 4D-MRI 变形到每日 midP-MRI 并进行几何校正。接下来,根据肿瘤在 midP-CT 和 3D 校正的 midP-MRI 之间的位置偏移来调整治疗计划。midP-CT 也被可变形地注册到每日 midP-MRI(应用不同的校正),以量化(残余)几何图像扭曲的剂量学效应。

结果

使用体模数据,中位 GNL 扭曲为 0.58mm(无校正)、0.42-0.48mm(2D)、0.34mm(3D)和 0.34mm(3D ),在直径为 200mm 的球形体积(DSV)上测量。同一 DSV 的中位 B0I 扭曲为 0.09mm。对于 DSV 高达 500mm,需要穿透平面校正以将中位残余 GNL 扭曲保持在 1mm 以下。3D 和 3D 校正之间的差异在 0.15mm 以内。2D 校正的图像在距离机器等中心 20-25cm 处存在高达 21.11mm 的未校正穿透平面扭曲。基于 4D-MRI 患者扫描,外部体轮廓的平均变形为 3.1mm(未校正)和 1.2mm(2D 校正),最大局部变形为未校正图像中的 9.5mm。对于位于机器等中心 10cm 范围内的转移瘤,没有(残余)变形。由于患者摆位、患者解剖结构和在线计划适应的变化,计划和每日剂量之间剂量差异的四分位距(IQR)为 PTV D95%的 1.37Gy/Fx。当比较 3D 校正与未校正(2D 校正)图像上的剂量时,IQR 为 0.61(0.31)Gy/Fx。

结论

GNL 是 Unity MR 直线加速器上图像扭曲的主要机器相关源。对于基于切片的 4D-MRI,在进行呼吸排序后可以应用完全的 3D 校正,以最大化空间保真度。对于我们的 MR 直线加速器,与机器通用的 3D 校正相比,机器专用的 3D 校正并没有显著减少残余几何扭曲。在我们的患者中,与几何扭曲无关的靶区剂量学变化大于由几何扭曲引起的变化。

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