Gao Qinquan, Lin Shaohui, Bai Penggang, Du Min, Ni Xiaolei, Ke Dongzhong, Tong Tong
Fujian Provincial Key Lab of Medical Instrument & Pharmaceutical Technology, Fuzhou University, Fuzhou, Fujian Province, China.
Fujian Provincial Cancer Hospital, Fuzhou, Fujian Province, China.
PLoS One. 2017 Apr 7;12(4):e0174926. doi: 10.1371/journal.pone.0174926. eCollection 2017.
The combination external-beam radiotherapy and high-dose-rate brachytherapy is a standard form of treatment for patients with locally advanced uterine cervical cancer. Personalized radiotherapy in cervical cancer requires efficient and accurate dose planning and assessment across these types of treatment. To achieve radiation dose assessment, accurate mapping of the dose distribution from HDR-BT onto EBRT is extremely important. However, few systems can achieve robust dose fusion and determine the accumulated dose distribution during the entire course of treatment. We have therefore developed a toolbox (FZUImageReg), which is a user-friendly dose fusion system based on hybrid image registration for radiation dose assessment in cervical cancer radiotherapy. The main part of the software consists of a collection of medical image registration algorithms and a modular design with a user-friendly interface, which allows users to quickly configure, test, monitor, and compare different registration methods for a specific application. Owing to the large deformation, the direct application of conventional state-of-the-art image registration methods is not sufficient for the accurate alignment of EBRT and HDR-BT images. To solve this problem, a multi-phase non-rigid registration method using local landmark-based free-form deformation is proposed for locally large deformation between EBRT and HDR-BT images, followed by intensity-based free-form deformation. With the transformation, the software also provides a dose mapping function according to the deformation field. The total dose distribution during the entire course of treatment can then be presented. Experimental results clearly show that the proposed system can achieve accurate registration between EBRT and HDR-BT images and provide radiation dose warping and fusion results for dose assessment in cervical cancer radiotherapy in terms of high accuracy and efficiency.
外照射放疗与高剂量率近距离放疗相结合是局部晚期子宫颈癌患者的标准治疗方式。宫颈癌的个性化放疗需要对这些治疗方式进行高效且准确的剂量规划与评估。为实现放射剂量评估,将高剂量率近距离放疗(HDR-BT)的剂量分布准确映射到外照射放疗(EBRT)上极为重要。然而,很少有系统能够实现稳健的剂量融合并确定整个治疗过程中的累积剂量分布。因此,我们开发了一个工具箱(FZUImageReg),它是一个基于混合图像配准的用户友好型剂量融合系统,用于宫颈癌放疗中的放射剂量评估。该软件的主要部分由一系列医学图像配准算法和一个具有用户友好界面的模块化设计组成,这使得用户能够针对特定应用快速配置、测试、监测和比较不同的配准方法。由于存在较大变形,直接应用传统的先进图像配准方法不足以准确对齐EBRT和HDR-BT图像。为解决此问题,针对EBRT和HDR-BT图像之间的局部大变形,提出了一种基于局部地标自由形式变形的多阶段非刚性配准方法,随后进行基于强度的自由形式变形。通过这种变换,该软件还根据变形场提供剂量映射功能。然后可以呈现整个治疗过程中的总剂量分布。实验结果清楚地表明,所提出的系统能够实现EBRT和HDR-BT图像之间的准确配准,并在高精度和高效率方面为宫颈癌放疗中的剂量评估提供放射剂量变形和融合结果。