Results of a multi-institutional benchmark test for cranial CT/MR image registration.
Results of a multi-institutional benchmark test for cranial CT/MR image registration.
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DOI：
10.1016/j.ijrobp.2009.10.017
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发表时间：
2010-08-01
影响因子：
7
通讯作者：
Cherlow, Joel M.
中科院分区：
文献类型：
--
作者：
Ulin, Kenneth;Urie, Marcia M.;Cherlow, Joel M.
使用质量保证审查中心（QARC）开发的基准病例评估CT/MR颅图像配准的可变性，以认证机构参与儿童肿瘤小组协议ACNS0221治疗儿童低级别胶质瘤。每个机构提供了同一患者的两组DICOM图像集，一组磁共振图像和一组CT图像。枕叶后部的一个小目标在MR扫描的两个切片上很容易看到，而在CT扫描上不可见。每个机构都使用通常用于此类病例的软件系统和方法登记了两次扫描。然后在两个MR切片上绘制目标体轮廓，并报告相应目标中心在CT坐标系中的坐标。所有提交的平均值被用来确定目标的“真实”中心。报告了来自45所院校和11个软件系统的51份意见书的结果。目标中心位置的平均误差为1.8 mm （1 sd = 2.2 mm）。位置变化最小的是在侧面。手动配准的结果明显优于自动配准（p=0.02）。当使用当前可用的软件注册头部的MR和CT扫描时，存在大约2mm（1个标准差）的固有不确定性，在注册图像集上为有风险的器官定义PTVs和PRVs时应考虑到这一点。
Variability in CT/MR cranial image registration was assessed using a benchmark case developed by the Quality Assurance Review Center (QARC) to credential institutions for participation in Children's Oncology Group Protocol ACNS0221 for treatment of pediatric low-grade glioma. Two DICOM image sets, an MR and a CT of the same patient, were provided to each institution. A small target in the posterior occipital lobe was readily visible on two slices of the MR scan and not visible on the CT scan. Each institution registered the two scans using whatever software system and method it ordinarily uses for such a case. The target volume was then contoured on the two MR slices and the coordinates of the center of the corresponding target in the CT coordinate system were reported. The average of all submissions was used to determine the “true” center of the target. Results are reported from 51 submissions representing 45 institutions and 11 software systems. The average error in the position of the center of the target was 1.8 mm (1 S.D. = 2.2 mm). The least variation in position was in the lateral direction. Manual registration gave significantly better results than automatic registration (p=0.02). When MR and CT scans of the head are registered with currently available software, there is inherent uncertainty of approximately 2 mm (1 standard deviation), which should be considered when defining PTVs and PRVs for organs at risk on registered image sets.
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影响因子：
3.8
作者：
Jin, Jian-Yue;Ryu, Samuel;Movsas, Benjamin
通讯作者：
Movsas, Benjamin
影响因子：
2.1
作者：
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影响因子：
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作者：
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影响因子：
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作者：
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通讯作者：
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影响因子：
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作者：
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通讯作者：
Balter, James M.