Murphy M J
Department of Radiation Oncology, Stanford University School of Medicine, California 94305, USA.
Med Phys. 1997 Jun;24(6):857-66. doi: 10.1118/1.598005.
A frameless radiosurgical treatment system has been developed by coupling an orthogonal pair of real-time x-ray cameras to a robotically manipulated linear accelerator to guide the therapy beam to treatment sites within a patient's cranium. The two cameras observe the position and orientation of the patient's head in the treatment system coordinate frame. An image registration algorithm compares the two real-time radiographs to a corresponding pair of digitally synthesized radiographs derived from a CT study of the patient. The algorithm determines all six degrees of translational and rotational difference between the position of the head in the CT coordinate frame and its position in the treatment room coordinate frame. This allows translation of treatment planning coordinates into treatment room coordinates without rigidly fixing the patient's head position during either the CT scan or treatment. In this paper the image registration algorithm is described and measurements of the precision and speed with which the process can determine the patient's position are reported. The tests have demonstrated translational uncertainty of 0.5-1.0 mm per axis and rotational uncertainty of 0.6-1.3 degrees per axis, accomplished in approximately 2 s elapsed time.
通过将一对正交的实时X射线摄像机与机器人操作的直线加速器相结合,开发出了一种无框架放射治疗系统,以将治疗束引导至患者颅骨内的治疗部位。这两台摄像机在治疗系统坐标系中观察患者头部的位置和方向。图像配准算法将这两张实时射线照片与从患者CT研究中得出的一对相应的数字合成射线照片进行比较。该算法确定头部在CT坐标系中的位置与其在治疗室坐标系中的位置之间的所有六个平移和旋转差异度。这使得在CT扫描或治疗过程中无需严格固定患者头部位置,就能将治疗计划坐标转换为治疗室坐标。本文描述了图像配准算法,并报告了该过程确定患者位置的精度和速度的测量结果。测试表明,每个轴的平移不确定性为0.5 - 1.0毫米,每个轴的旋转不确定性为0.6 - 1.3度,完成时间约为2秒。