[1]彭清河,彭应林,朱金汉,等.图像配准方式对宫颈癌后装自适应放射治疗图像配准精度的影响[J].南方医科大学学报,2018,(11):1344.[doi:10.12122/j.issn.1673-4254.2018.11.11]
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图像配准方式对宫颈癌后装自适应放射治疗图像配准精度的影响()
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《南方医科大学学报》[ISSN:1673-4254/CN:44-1627/R]

卷:
期数:
2018年11期
页码:
1344
栏目:
出版日期:
2018-11-30

文章信息/Info

Title:
Accuracy of different image registration methods in image-guided adaptive brachytherapy for cervical cancer
作者:
彭清河彭应林朱金汉蔡明章周凌宏
关键词:
宫颈癌后装放疗施源器图像配准
Keywords:
cervical cancer image-guided adaptive brachytherapy applicator image registration
DOI:
10.12122/j.issn.1673-4254.2018.11.11
摘要:
目的研究不同配准范围大小和不同图像质量对宫颈癌后装自适应放射治疗不同分次之间CT图像配准精度的影响,为临 床的应用提供指导。方法随机选取15例已完成三维后装放疗的宫颈癌患者,将患者的最后一次治疗计划CT图像(CT1)和第 一次治疗计划CT图像(CT2)导入Varian 公司的Velocity软件,分别以不同图像质量(保留施源器和去除施源器两种)和不同配 准范围[配准靶区(S组)/配准器官结构(M组)/配准体廓(L组)]进行图像配准,以靶区和危及器官相似性指数(DSC)来评价不同 配准方式的配准精度,并采用配对T检验比较不同配准方式的配准精度。结果使用Velocity软件基于CT阈值自动分割金属施 源器,CT值选择1700~1800 HU时分割的体积最接近真实体积值。去除施源器组中各器官结构的相似性指数DSC优于或等效 于保留施源器组,且直肠的DSC值得到明显提高,差异具有统计学意义(P<0.05)。不同配准框大小之间比较,配准靶区组(S 组)的高危靶区体积(HRCTV)和低危靶区体积(IRCTV)的相似性指数最高,优于配准器官组(M组)和配准体廓组(L组),差异 具有统计学意义(P<0.05)。配准器官组(M组)有较好的靶区体积配准精度和最优的危及器官配准精度,膀胱和直肠的DSC值 明显优于其他两组,差异具有统计学意义(P<0.05)。结论在宫颈癌后装自适应放疗中,使用Velocity软件对0.24 cc的金属施 源器进行自动分割时应选择CTHU=1700~1800 HU。对施源器进行自动分割并屏蔽可以提高图像质量,图像配准时建议选用 配准器官范围进行图像配准。
Abstract:
Objective To compare the accuracy of different methods for image registration in image-guided adaptive brachytherapy (IGABT) for cervical cancer. Methods The last treatment planning CT images (CT1) and the first treatment planning CT images (CT2) were acquired from 15 patients with cervical cancer and registered with different match image qualities (retained/removed catheter source in images) and different match regions [target only (S Group)/ interested organ structure (M Group)/body (L Group)] in Velocity3.2 software. The dice similarity coefficient (DSC) between the clinical target volumes (CTV) of the CT1 and CT2 images (CTVCT1 and CTVCT2, respectively) and between the organs-at-risk (OAR) of the two imaging datasets (OARCT1 and OARCT2, respectively) were used to evaluate the image registration accuracy. Results The auto-segmentation volume of the catheter source using Velocity software based on the CT threshold was the closest to the actual volume within the CT value range of 1700-1800 HU. In the retained group, the DSC for the OARs of was better than or equal to that of the removed group, and the DSC value of the rectum was significantly improved (P<0.05). For comparison of different match regions, the high-risk target volume (HRCTV) and the low-risk target volume (IRCTV) had the best precision for registration of the target area, which was significantly greater than that of M group and L group (P<0.05). The M group had better registration accuracy of the target area and the best accuracy for the OARs. The DSC values of the bladder and rectum were significantly better than those of the other two groups (P<0.05). Conclusion The CT value range of 1700-1800 HU is optimal for automatic image segmentation using Velocity software. Automatic segmentation and shielding the volume of the catheter source can improve the image quality. We recommend the use of interested organ structures regions for image registration in image-guided adaptive brachytherapy for cervical cancer.

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更新日期/Last Update: 1900-01-01