Motegi Kana, Tachibana Hidenobu, Motegi Atsushi, Hotta Kenji, Baba Hiromi, Akimoto Tetsuo
Section of Radiation Safety and Quality Assurance, National Cancer Center Hospital East, Kashiwa-shi, Japan.
Particle Therapy Division, Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, Kashiwa-shi, Japan.
J Appl Clin Med Phys. 2019 Jan;20(1):229-236. doi: 10.1002/acm2.12515. Epub 2018 Dec 27.
To evaluate the accuracy of commercially available hybrid deformable image registration (DIR) algorithms when using planning CT (pCT) and daily cone-beam computed tomography (CBCT) in radiation therapy for prostate cancer. The hybrid DIR algorithms in RayStation and MIM Maestro were evaluated. Contours of the prostate, bladder, rectum, and seminal vesicles (SVs) were used as region-of-interest (ROIs) to guide image deformation in the hybrid DIR and to compare the DIR accuracy. To evaluate robustness of the hybrid DIR for prostate cancer patients with organs with volume that vary on a daily basis, such as the bladder and rectum, the DIR algorithms were performed on ten pairs of CT volumes from ten patients who underwent prostate intensity-modulated radiation therapy or volumetric modulated arc therapy. In a visual evaluation, MIM caused unrealistic image deformation in soft tissues, organs, and pelvic bones. The mean dice similarity coefficient (DSC) ranged from 0.46 to 0.90 for the prostate, bladder, rectum, and SVs; the SVs had the lowest DSC. Target registration error (TRE) at the centroid of the ROIs was about 2 mm for the prostate and bladder, and about 6 mm for the rectum and SVs. RayStation did not cause unrealistic image deformation, and could maintain the shape of pelvic bones in most cases. The mean DSC and TRE at the centroid of the ROIs were about 0.9 and within 5 mm generally. In both software programs, the use of ROIs to guide image deformation had the possibility to reduce any unrealistic image deformation and might be effective to keep the DIR physically reasonable. The pCT/CBCT DIR for the prostate cancer did not reduce the DIR accuracy because of the use of ROIs to guide the image deformation.
为评估在前列腺癌放射治疗中使用计划CT(pCT)和每日锥形束计算机断层扫描(CBCT)时,市售混合可变形图像配准(DIR)算法的准确性。对RayStation和MIM Maestro中的混合DIR算法进行了评估。前列腺、膀胱、直肠和精囊(SVs)的轮廓被用作感兴趣区域(ROI),以指导混合DIR中的图像变形并比较DIR准确性。为评估混合DIR对器官体积每日变化的前列腺癌患者(如膀胱和直肠)的鲁棒性,对接受前列腺调强放射治疗或容积调强弧形治疗的10名患者的十对CT体积进行了DIR算法操作。在视觉评估中,MIM在软组织、器官和骨盆骨中引起了不切实际的图像变形。前列腺、膀胱、直肠和精囊的平均骰子相似系数(DSC)范围为0.46至0.90;精囊的DSC最低。ROI质心处的目标配准误差(TRE),前列腺和膀胱约为2毫米,直肠和精囊约为6毫米。RayStation不会引起不切实际的图像变形,并且在大多数情况下可以保持骨盆骨的形状。ROI质心处的平均DSC和TRE通常约为0.9且在5毫米以内。在这两个软件程序中,使用ROI来指导图像变形有可能减少任何不切实际的图像变形,并且可能有效地使DIR在物理上合理。前列腺癌的pCT/CBCT DIR不会因使用ROI来指导图像变形而降低DIR准确性。