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首页> 外文期刊>Procedia Computer Science >A Python software to evaluate geometric discrepancies between stereotactic CT and MR images in radiosurgery
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A Python software to evaluate geometric discrepancies between stereotactic CT and MR images in radiosurgery

机译：一种Python软件，以评估立体定向CT和放射胶中MR图像之间的几何差异

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Due to its excellent soft tissue contrast, magnetic resonance imaging (MRI) is widely used for target delineation in stereotactic radiosurgery. However, because of a number of factors (inhomogeneity of the constant magnetic field, nonlinearity of the gradient fields, etc.), MR images are more susceptible to spatial distortion as opposed to Computed tomography (CT) images, which could be considered as the reference studies in terms of the accuracy of target localization. It is crucial to assess the geometric errors in MR images as the accuracy of dose delivery strongly depends on MRI quality. One of the ways of MRI distortion evaluation is to scan a phantom with multiple marker points on both CT and MRI scanner and compare coordinates of the points defined on CT and MR images, respectively. Performing this test as a routine part of MRI quality assurance (QA) program for stereotactic radiosurgery is complicated by lack of a software for the automatic calculations of the discrepancies.The aim of our work was to develop a software to calculate discrepancies between stereotactic coordinates of the phantom’s plastic rods defined on the MR and CT images of the Elekta MR phantom. A special Python software was developed and the spatial accuracy of the stereotactic MR images was assessed. The calculated total differences between the coordinates of the CT and T1 weighted MR images, CT and T2 weighted MR images exceeded 1 mm in 3,5%, 0.1% of the points, respectively. Using the software in clinic routines could both speed up the time needed for the test performance and eliminate subjective visual assessment of the discrepancies.
机译：由于其优异的软组织对比，磁共振成像（MRI）广泛用于立体定向放射牢房中的目标描绘。然而，由于许多因素（恒定磁场的不均匀性，梯度字段的非线性等），MR图像更容易受到空间失真的影响，而不是计算的断层摄影（CT）图像，这可以被认为是目标本地化准确性方面的参考研究。评估MR图像中的几何误差是至关重要的，因为剂量递送的准确性强烈取决于MRI质量。 MRI失真评估的方式之一是在CT和MRI扫描仪上扫描具有多个标记点的幻像，并分别比较CT和MR图像上定义的点的坐标。作为MRI质量保证（QA）程序的例行部分进行定向放射牢房的例行部分，因缺乏用于自动计算的差异的软件而变得复杂。我们工作的目的是开发一种软​​件，以计算立体定向坐标之间的差异在Elekta Mr Phantom的MR和CT图像上定义了幻影的塑料棒。开发了一种特殊的Python软件，评估了立体定向MR图像的空间精度。 CT和T1加权MR图像的坐标与T2加权MR图像之间的计算总差异分别超过1mm，分别为3.5％，0.1％。在临床日志中使用软件可以加速测试性能所需的时间，并消除对差异的主观视觉评估。

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