Schweikard A, Glosser G, Bodduluri M, Murphy M J, Adler J R
Informatik, Technische Universität München, Munich, Germany.
Comput Aided Surg. 2000;5(4):263-77. doi: 10.1002/1097-0150(2000)5:4<263::AID-IGS5>3.0.CO;2-2.
Tumors in the chest and abdomen move during respiration. The ability of conventional radiation therapy systems to compensate for respiratory motion by moving the radiation source is inherently limited. Since safety margins currently used in radiation therapy increase the radiation dose by a very large amount, an accurate tracking method for following the motion of the tumor is of the utmost clinical relevance. We investigate methods to compensate for respiratory motion using robotic radiosurgery. Thus, the therapeutic beam is moved by a robotic arm, and follows the moving target tumor. To determine the precise position of the moving target, we combine infrared tracking with synchronized X-ray imaging. Infrared emitters are used to record the motion of the patient's skin surface. A stereo X-ray imaging system provides information about the location of internal markers. During an initialization phase (prior to treatment), the correlation between the motions observed by the two sensors (X-ray imaging and infrared tracking) is computed. This model is also continuously updated during treatment to compensate for other, non-respiratory motion. Experiments and clinical trials suggest that robot-based methods can substantially reduce the safety margins currently needed in radiation therapy.
胸部和腹部的肿瘤在呼吸过程中会移动。传统放射治疗系统通过移动辐射源来补偿呼吸运动的能力存在固有局限性。由于目前放射治疗中使用的安全裕度会大幅增加辐射剂量,因此一种精确跟踪肿瘤运动的方法具有至关重要的临床意义。我们研究使用机器人放射外科来补偿呼吸运动的方法。因此,治疗束由机器人手臂移动,并跟踪移动的目标肿瘤。为了确定移动目标的精确位置,我们将红外跟踪与同步X射线成像相结合。红外发射器用于记录患者皮肤表面的运动。立体X射线成像系统提供有关内部标记位置的信息。在初始化阶段(治疗前),计算两个传感器(X射线成像和红外跟踪)观察到的运动之间的相关性。该模型在治疗过程中也会不断更新,以补偿其他非呼吸运动。实验和临床试验表明,基于机器人的方法可以大幅降低目前放射治疗所需的安全裕度。