A mechanistic model to derive lung tumor motion from whole surface tracking

描述(由申请人提供)：虽然大多数肺癌患者的治疗是通过计划目标体积来覆盖运动边缘，但希望减少运动边缘以进行更适形的治疗。软件和硬件方面的技术进步使我们能够提供同步辐射或跟踪已知的肿瘤运动轨迹。然而，肿瘤的确切位置很难实时检测到。一个或几个基准 光学相机可追踪的标志物不是肿瘤内部运动的可靠和可重现的替代物；X射线荧光成像向大患者体积提供辐射剂量，并且无法发现小的肺部肿瘤或低对比度的肿瘤。在这个拟议的项目中，基于4DCT、4DMRI和表面光学跟踪的组合，提出了患者表面和肺部肿瘤之间更稳健和更机械的关联。将利用3D成像模式为机械建模和模型验证创造边界条件。为了将拟议的技术转移到治疗室，将开发光学跟踪来提供表面条件，而不是核磁共振。

DESCRIPTION (provided by applicant): Although most lung cancer patients are treated with a planning target volume to cover the motion margin, it is desired to reduce the motion margin for a more conformal treatment. Technological improvements in the software and hardware have allowed us to deliver synchronized radiation or to track a known trajectory of tumor motion. However, the exact position of the tumor is difficult to detect in real time. One or a few fiducial markers, trackable by optical cameras are not reliable and reproducible surrogates of the internal tumor motion; x-ray fluorescent imaging delivers radiation dose to a large patient volume and is not able to detect small lung tumors or tumors with low radiographic contrast. In this proposed project, a more robust and mechanistic correlation between the patient surface and the lung tumor is proposed based on a combination of 4DCT, 4DMRI and surface optical tracking. 3D imaging modalities will be utilized to create boundary conditions for mechanical modeling and validation of the model. To transfer the proposed technology into treatment room, optical tracking will be developed to provide surface conditions instead of MRI.