Performance evaluation of a newly developed three-dimensional model-based global-to-local registration in prostate cancer
Performance evaluation of a newly developed three-dimensional model-based global-to-local registration in prostate cancer
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新开发的基于三维模型的前列腺癌全局到局部配准的性能评估
DOI：
10.1093/jrr/rrz031
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发表时间：
2019
期刊：
影响因子：
2
通讯作者：
Takashi Mizowaki
中科院分区：
文献类型：
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作者：
Mitsuhiro Nakamura;Megumi Nakao;Hideaki Hirashima;Hiraku Iramina;Takashi Mizowaki
我们通过将其与前列腺区域中基于3D模型的全局配准进行比较，评估了新开发的基于三维（3D）模型的多器官全局到局部配准的性能。本研究纳入了220例接受调强放疗或调容弧治疗的前列腺癌患者。我们的注册进行顺序，即全球注册，包括仿射和分段仿射变换，其次是局部注册。作为局部配准，在算法A和B中分别实现了基于拉普拉斯算子的配准和基于有限元法的配准。算法C仅用于全局配准。前列腺、精囊、直肠和膀胱的模板模型由前20名患者构建，然后对剩余200名患者的这些器官进行三种不同的配准，以评估配准精度。算法A中的第75百分位数Hausdorff距离<1 mm;算法B中的第75百分位数Hausdorff距离>1 mm（前列腺除外）;算法C中的前列腺为3.9 mm，其他器官为>7.8 mm。在算法A、B和C中，完成配准的中值计算时间分别为<101、30和16 s。方差分析显示算法A-C在Hausdorff距离和计算时间上存在显著差异。此外，采用Tukey多重比较检验，算法A和B之间的Hausdorff距离差异无显著性差异。基于三维模型的全局到局部配准，特别是基于拉普拉斯算子的配准，能够快速完成表面配准，并在前列腺区域提供足够的配准精度。
We evaluated the performance of a newly developed three-dimensional (3D) model-based global-to-local registration of multiple organs, by comparing it with a 3D model-based global registration in the prostate region. This study included 220 prostate cancer patients who underwent intensity-modulated radiotherapy or volumetric-modulated arc therapy. Our registration proceeded sequentially, i.e. global registration including affine and piece-wise affine transformation followed by local registration. As a local registration, Laplacian-based and finite element method-based registration was implemented in Algorithm A and B, respectively. Algorithm C was for global registration alone. The template models for the prostate, seminal vesicles, rectum and bladder were constructed from the first 20 patients, and then three different registrations were performed on these organs for the remaining 200 patients, to assess registration accuracy. The 75th percentile Hausdorff distance was <1 mm in Algorithm A; it was >1 mm in Algorithm B, except for the prostate; and 3.9 mm for the prostate and >7.8 mm for other organs in Algorithm C. The median computation time to complete registration was <101, 30 and 16 s in Algorithms A, B and C, respectively. Analysis of variance revealed significant differences among Algorithms A–C in the Hausdorff distance and computation time. In addition, no significant difference was observed in the difference of Hausdorff distance between Algorithm A and B with Tukey’s multiple comparison test. The 3D model-based global-to-local registration, especially that implementing Laplacian-based registration, completed surface registration rapidly and provided sufficient registration accuracy in the prostate region.