Dehghan Ehsan, Lee Junghoon, Moradi Mehdi, Wen Xu, Fichtinger Gabor, Salcudean Septimiu E
Queen's University, Canada.
Med Image Comput Comput Assist Interv. 2010;13(Pt 1):283-90. doi: 10.1007/978-3-642-15705-9_35.
During prostate brachytherapy, C-arm flouroscopy images are used for a qualitative assessment of the procedure. Three dimensional reconstruction of the implanted seeds can be used for intraoperative dosimetry and quantitative assessment. Accurate C-arm pose estimation is necessary for 3D localization of the seeds. We propose to measure the C-arm rotation angles and computationally compensate the inevitable C-arm translational motion to estimate the pose. We compensate the oscillation, sagging and wheel motion of the C-arm using a three-level optimization algorithm, without which the reconstruction can fail. We validated our approach on simulated and 10 data sets from 5 patients and gained on average 99.1% success rate, 0.33 mm projection error and computation time of less than one minute per patient, which are clinically excellent results.
在前列腺近距离放射治疗过程中,C形臂荧光透视图像用于对该过程进行定性评估。植入籽源的三维重建可用于术中剂量测定和定量评估。籽源的三维定位需要准确的C形臂位姿估计。我们建议测量C形臂旋转角度,并通过计算补偿不可避免的C形臂平移运动以估计位姿。我们使用三级优化算法补偿C形臂的摆动、下垂和轮动,否则重建可能会失败。我们在模拟数据和来自5名患者的10个数据集上验证了我们的方法,平均成功率为99.1%,投影误差为0.33毫米,每位患者的计算时间不到一分钟,这些都是临床上优异的结果。