Hashido Takashi, Nakasone Shinya, Fukao Mari, Ota Seiichi, Inoue Shinichi
Division of Radiology, Department of Medical Technology, Osaka University Hospital, 2-15 Yamadaoka, Suita, Osaka, 565-0871, Japan.
Radiol Phys Technol. 2018 Dec;11(4):392-405. doi: 10.1007/s12194-018-0476-z. Epub 2018 Sep 21.
This study aimed to compare and assess the compatibility of the bone-structure-based manual and maximization of mutual information (MMI)-algorithm-based automatic image registration using megavoltage cone-beam computed tomography (MV-CBCT) images acquired with an imaging beam line. A total of 1163 MV-CBCT images from 30 prostate cancer patients were retrospectively analyzed. The differences between setup errors in three directions (left-right, LR; superior-inferior, SI; anterior-posterior, AP) of both registration methods were investigated. Pearson's correlation coefficients (r) and Bland-Altman agreements were evaluated. Agreements were defined by a bias close to zero and 95% limits of agreement (LoA) less than ± 3 mm. The cumulative frequencies of the absolute differences between the two registration methods were calculated to assess the distributions of the setup error differences. There were significant differences (p < 0.001) in the setup errors between both registration methods. There were moderate (SI, r = 0.45) and strong positive correlation coefficients (LR, r = 0.74; AP, r = 0.72), whereas the 95% LoA (bias ± 1.96 × standard deviation of the setup error differences) were - 1.61 ± 4.29 mm (LR), - 0.41 ± 5.45 mm (SI), and 0.67 ± 4.29 mm (AP), revealing no agreements in all directions. The cumulative frequencies (%) of the cases with absolute setup error differences within 3 mm in each direction were 80.83% (LR), 81.86% (SI), and 90.71% (AP), with all directions having large proportions of > 3-mm differences. The MMI-algorithm-based automatic registration is not compatible with the bone-structure-based manual registration and should not be used alone for prostate cancer.
本研究旨在比较和评估基于骨骼结构的手动图像配准与基于互信息最大化(MMI)算法的自动图像配准的兼容性,使用通过成像束线采集的兆伏级锥形束计算机断层扫描(MV-CBCT)图像。对30例前列腺癌患者的1163幅MV-CBCT图像进行了回顾性分析。研究了两种配准方法在三个方向(左右、LR;上下、SI;前后、AP)上的摆位误差差异。评估了Pearson相关系数(r)和Bland-Altman一致性。一致性定义为偏差接近零且95%一致性界限(LoA)小于±3 mm。计算两种配准方法之间绝对差异的累积频率,以评估摆位误差差异的分布。两种配准方法之间的摆位误差存在显著差异(p<0.001)。存在中度(SI,r = 0.45)和强正相关系数(LR,r = 0.74;AP,r = 0.72),而95% LoA(偏差±1.96×摆位误差差异的标准差)分别为-1.61±4.29 mm(LR)、-0.41±5.45 mm(SI)和0.67±4.29 mm(AP),表明在所有方向上均不存在一致性。每个方向上绝对摆位误差差异在3 mm以内的病例累积频率分别为80.83%(LR)、81.86%(SI)和90.71%(AP),所有方向上差异>3 mm的比例都很大。基于MMI算法的自动配准与基于骨骼结构的手动配准不兼容,不应单独用于前列腺癌。