Cai J, Chu J C, Recine D, Sharma M, Nguyen C, Rodebaugh R, Saxena V A, Ali A
Department of Radiation Oncology and Medical Physics, Rush Presbyterian St. Luke's Medical Center, Rush Medical College, Chicago, IL 60612, USA.
Int J Radiat Oncol Biol Phys. 1999 Mar 1;43(4):883-91. doi: 10.1016/s0360-3016(98)00399-x.
We present a validation study of CT and PET lung image registration and fusion based on the chamfer-matching method.
The contours of the lung surfaces from CT and PET transmission images were automatically segmented by the thresholding technique. The chamfer-matching technique was then used to register the extracted lung surfaces. Arithmetic means of distance between the two data sets of the pleural surfaces were used as the cost function. Matching was then achieved by iteratively minimizing the cost function through three-dimensional (3D) translation and rotation with an optimization method.
Both anatomic thoracic phantom images and clinical patient images were used to evaluate the performance of our registration system. Quantitative analysis from five patients indicates that the registration error in translation was 2-3 mm in the transverse plane, 3-4 mm in the longitudinal direction, and about 1.5 degree in rotation. Typical computing time for chamfer matching is about 1 min. The total time required to register a set of CT and PET lung images, including contour extraction, was generally less than 30 min.
We have implemented and validated the chamfer-matching method for CT and PET lung image registration and fusion. Our preliminary results show that the chamfer-matching method for CT and PET images in the lung area is feasible. The described registration system has been used to facilitate target definition and treatment planning in radiotherapy.
我们开展了一项基于倒角匹配法的CT与PET肺图像配准及融合的验证研究。
采用阈值技术自动分割CT和PET透射图像中的肺表面轮廓。然后使用倒角匹配技术对提取的肺表面进行配准。将两个数据集胸膜表面之间的距离算术平均值用作代价函数。然后通过使用优化方法在三维（3D）平移和旋转中迭代最小化代价函数来实现匹配。
解剖胸部体模图像和临床患者图像均用于评估我们配准系统的性能。对五名患者的定量分析表明，平移配准误差在横断面上为2 - 3毫米，在纵向上为3 - 4毫米，旋转约为1.5度。倒角匹配的典型计算时间约为1分钟。配准一组CT和PET肺图像所需的总时间，包括轮廓提取，通常少于30分钟。
我们已经实现并验证了用于CT和PET肺图像配准及融合的倒角匹配方法。我们的初步结果表明，肺区域CT和PET图像的倒角匹配方法是可行的。所描述的配准系统已用于促进放射治疗中的靶区定义和治疗计划制定。
