Prostate brachytherapy seed localization with Gaussian blurring and camera self-calibration.
Prostate brachytherapy seed localization with Gaussian blurring and camera self-calibration.
复制标题
通过高斯模糊和相机自校准进行前列腺近距离治疗种子定位。
DOI：
10.1007/978-3-540-85990-1_76
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发表时间：
2008
期刊：
影响因子：
--
通讯作者：
Fichtinger,Gabor
中科院分区：
文献类型：
--
作者：
Lee,Junghoon;Liu,Xiaofeng;Prince,JerryL;Fichtinger,Gabor
描述了一种基于断层合成的前列腺近距离放射治疗种子定位方法。从有限数量的X射线图像计算高斯模糊图像，并通过反投影重建3-D体积。从重建体积中提取候选种子位置，并通过优化局部成本函数来去除假阳性种子。在估计的姿态误差较大的情况下，自校准过程校正固有相机参数的估计误差和姿态的平移，以便改善重建。仿真和体模实验结果表明，植入的种子位置可以估计从四个或五个图像取决于种子的数量。该算法还使用患者数据进行了验证，成功定位了植入的粒子。
A tomosynthesis-based prostate brachytherapy seed localization method is described. Gaussian-blurred images are computed from a limited number of X-ray images, and a 3-D volume is reconstructed by backprojection. Candidate seed locations are extracted from the reconstructed volume and false positive seeds are removed by optimizing a local cost function. In case where the estimated pose error is large, a self-calibration process corrects the estimation error of the intrinsic camera parameters and the translation of the pose in order to improve the reconstruction. Simulation and phantom experiment results imply that the implanted seed locations can be estimated from four or five images depending on the number of seeds. The algorithm was also validated using patient data, successfully localizing the implanted seeds.