Lu Guang-wen, Xie Yao-qin
School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.
Nan Fang Yi Ke Da Xue Xue Bao. 2011 Nov;31(11):1801-5.
To increase the accuracy of beam targeting and improve the dose distributions in radiotherapy using a robust image registration algorithm based on control volumes.
Control volume mapping and thin-plate spline deformable transformation were combined. The use of the control volumes increased the accuracy for the deformable registration. A bi-directional mapping method was also employed to correctly match the control volumes.
The clinical images were simulated using the proposed two-step image registration algorithm. The simulation results indicated that the registration algorithm was robust and universal, even in cases of obvious deformation.
The algorithm provides a more convenient and robust resolution as compared to manual landmark-based methods and single-step deformable transformations, and may help in automatic image registration in radiation therapy.
使用基于控制体积的稳健图像配准算法提高放射治疗中射束靶向的准确性并改善剂量分布。
将控制体积映射与薄板样条可变形变换相结合。控制体积的使用提高了可变形配准的准确性。还采用了双向映射方法来正确匹配控制体积。
使用所提出的两步图像配准算法对临床图像进行了模拟。模拟结果表明，即使在明显变形的情况下，该配准算法也是稳健且通用的。
与基于手动标记的方法和单步可变形变换相比，该算法提供了一种更便捷、稳健的解决方案，可能有助于放射治疗中的自动图像配准。
