Clinical sites utilizing magnetic resonance imaging (MRI)‐only simulation for prostate radiotherapy planning typically use fiducial markers for pretreatment patient positioning and alignment. Fiducial markers appear as small signal voids in MRI images and are often difficult to discern. Existing clinical methods for fiducial marker localization require multiple MRI sequences and/or manual interaction and specialized expertise. In this study, we develop a robust method for automatic fiducial marker detection in prostate MRI simulation images and quantify the pretreatment alignment accuracy using automatically detected fiducial markers in MRI.

中文翻译：

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一种基于对抗网络的（GAN）生成架构，可在仅前列腺MRI的放射治疗模拟图像中自动进行基准标记检测

利用仅磁共振成像（MRI）模拟进行前列腺放射治疗计划的临床部位通常使用基准标记来对患者进行预处理和定位。基准标记在MRI图像中显示为小信号空隙，通常难以辨认。用于基准标记定位的现有临床方法需要多个MRI序列和/或手动交互作用以及专门知识。在这项研究中，我们开发了一种在前列腺MRI模拟图像中自动进行基准标记检测的可靠方法，并使用在MRI中自动检测到的基准标记来量化预处理对齐的准确性。