Respiratory-gated radiotherapy treatments of lung tumors reduce the irradiated normal tissue volume and potentially lower the risk of side effects. However, in clinical routine, the gating signal is usually derived from external markers or other surrogate signals and may not always correlate well with the actual tumor position. This study uses the kV-imaging system of a LINAC in combination with a multiple template matching algorithm for markerless real-time detection of the tumor position in a dynamic anthropomorphic porcine lung phantom. The tumor was realized by a small container filled with polymer dosimetry gel, the so-called gel tumor . A full end-to-end test for a gated treatment was performed and the geometric and dosimetric accuracy was validated. The accuracy of the tumor detection algorithm in SI- direction was found to be ##IMG## [http://ej.iop.org/images/0031-9155/65/11/115002/pmbab8578ieqn1.gif] {$\left( {2.3 \pm 1.6} \right)$} mm and th...

中文翻译：

---

无标记荧光透视实时肿瘤检测用于适应性放射治疗的可行性：开发和端到端测试。

肺肿瘤的呼吸门放射疗法可减少照射的正常组织体积，并可能降低发生副作用的风险。然而，在临床常规中，门控信号通常来自外部标记或其他替代信号，并且可能并不总是与实际肿瘤位置良好相关。这项研究将LINAC的kV成像系统与多模板匹配算法结合使用，以无标记的实时检测动态拟人化猪肺部幻影中的肿瘤位置。肿瘤是通过装满聚合物剂量凝胶的小容器实现的，所谓的凝胶肿瘤。对门控处理进行了完整的端到端测试，并验证了几何和剂量学准确性。发现在SI方向上的肿瘤检测算法的准确性为## IMG ## [http：