Accuracy of 3D volumetric image registration based on CT, MR and PET/CT phantom experiments.
Accuracy of 3D volumetric image registration based on CT, MR and PET/CT phantom experiments.
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DOI：
10.1120/jacmp.v9i4.2781
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发表时间：
2008-07-09
影响因子：
2.1
通讯作者：
Miller RW
中科院分区：
文献类型：
--
作者：
Li G;Xie H;Ning H;Citrin D;Capala J;Maass-Moreno R;Guion P;Arora B;Coleman N;Camphausen K;Miller RW
注册对于基于图像的治疗计划和图像引导的治疗交付至关重要。虽然自动配准是可用的，但临床上总是使用基于三个正交平面(3P)的手动、基于视觉的图像融合来验证和调整自动配准结果。然而，由于不完整的三维(3D)体图像表示，3P融合可能是耗时的、依赖于观察者的，并且容易出错。它也被限制在单像素精度(屏幕分辨率)。三维体图像配准(3DVIR)技术就是为了克服这些缺点而发展起来的。该技术在图像体积之外的配准标准中引入了第四维，提供了两个配准图像内对应的解剖标志的视觉和定量相关性，便于体积图像对准，并使潜在的配准误差最小化。3DVIR结合了实时图像分类，以选择和可视化可靠的解剖地标，而不是使用所有体素进行对齐。为了确定视觉和定量3DVIR标准的检测下限，模拟了轻微错位的图像，并将其呈现给8名临床人员进行解释。这两种标准的检测下限分别为0.1 mm和0.1°。为了确定3DVIR方法的准确性，使用了三种成像方式(CT、MR和PET/CT)来获取具有已知空间位移的多个体模图像。对这些体模进行了横向位移，位移间隔为。3DVIR技术的准确性是通过比较通过配准确定的图像移位和通过实验获得的物理移位来确定的。配准精度和精度被发现是：对于CT/CT图像，对于MR/MR图像，对于PET/CT图像。这一准确度与检测限一致，表明没有可检测到的系统误差。这种3DVIR技术为临床应用提供了一种优于3P融合方法的选择。PAC编号：87.57.nj，87.57 nm，87.57.-N，87.57.-S
Registration is critical for image‐based treatment planning and image‐guided treatment delivery. Although automatic registration is available, manual, visual‐based image fusion using three orthogonal planar views (3P) is always employed clinically to verify and adjust an automatic registration result. However, the 3P fusion can be time consuming, observer dependent, as well as prone to errors, owing to the incomplete 3‐dimensional (3D) volumetric image representations. It is also limited to single‐pixel precision (the screen resolution). The 3D volumetric image registration (3DVIR) technique was developed to overcome these shortcomings. This technique introduces a 4th dimension in the registration criteria beyond the image volume, offering both visual and quantitative correlation of corresponding anatomic landmarks within the two registration images, facilitating a volumetric image alignment, and minimizing potential registration errors. The 3DVIR combines image classification in real‐time to select and visualize a reliable anatomic landmark, rather than using all voxels for alignment. To determine the detection limit of the visual and quantitative 3DVIR criteria, slightly misaligned images were simulated and presented to eight clinical personnel for interpretation. Both of the criteria produce a detection limit of 0.1 mm and 0.1°. To determine the accuracy of the 3DVIR method, three imaging modalities (CT, MR and PET/CT) were used to acquire multiple phantom images with known spatial shifts. Lateral shifts were applied to these phantoms with displacement intervals of . The accuracy of the 3DVIR technique was determined by comparing the image shifts determined through registration to the physical shifts made experimentally. The registration accuracy, together with precision, was found to be: for CT/CT images, for MR/MR images, and for PET/CT images. This accuracy is consistent with the detection limit, suggesting an absence of detectable systematic error. This 3DVIR technique provides a superior alternative to the 3P fusion method for clinical applications. PACS numbers: 87.57.nj, 87.57.nm, 87.57.‐N, 87.57.‐s
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影响因子：
10.9
作者：
Maintz, J B;Viergever, M A
通讯作者：
Viergever, M A
DOI：
10.1016/j.ijrobp.2005.03.035
发表时间：
2005-07-15
影响因子：
7
作者：
Létourneau, D;Martinez, AA;Wong, J
通讯作者：
Wong, J
影响因子：
3.5
作者：
Ceylan, C;van der Heide, UA;Kotte, ANTJ
通讯作者：
Kotte, ANTJ
DOI：
10.1016/s0360-3016(03)00083-x
发表时间：
2003-05-01
影响因子：
7
作者：
Clippe, S;Sarrut, D;Carrie, C
通讯作者：
Carrie, C
影响因子：
10.6
作者：
Mattes, D;Haynor, DR;Eubank, W
通讯作者：
Eubank, W