Validation of biomechanical deformable image registration in the abdomen, thorax, and pelvis in a commercial radiotherapy treatment planning system.
Validation of biomechanical deformable image registration in the abdomen, thorax, and pelvis in a commercial radiotherapy treatment planning system.
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DOI：
10.1002/mp.12307
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发表时间：
2017-07
期刊：
影响因子：
3.8
通讯作者：
Brock KK
中科院分区：
文献类型：
--
作者：
Velec M;Moseley JL;Svensson S;Hårdemark B;Jaffray DA;Brock KK
可变形图像配准工具的准确性在成像模态和相同算法的特定实现之间可以广泛地变化。最初在学术机构内部开发的基于生物力学模型的算法被转化为商业放射治疗计划系统，并针对多种成像模式和解剖部位进行了验证。生物力学变形配准（Morfeus）是一种基于有限元方法的几何驱动算法。边界条件是从每个图像中的控制结构的基于模型的分割导出的，其建立了点到点的表面对应。对于每个控制结构，指定材料属性和固定或滑动界面。用有限元法求解控制结构和其它隐式变形结构的内部体积位移。对74名患者进行了胸部和腹部4DCT（2.8 mm）和MR（5.3 mm）、肝脏CT-MR（4.5 mm）和前列腺MR（2.6 mm）图像（平均矢量分辨率）配准。使用结构表面的一致性距离（DTA）和内部点标志的目标配准误差（TRE），对变形和实际目标图像之间的准确性进行量化。商业实施的结果如下。对照结构的平均DTA ≤1.0 mm，隐性变形结构的平均DTA为1.0-3.5 mm。TRE范围从前列腺MR的2.0 mm到肺MR的5.1 mm，平均在0.1 mm以内或低于图像体素尺寸。准确度对材料特性的变化或结构分割的变异性并不过分敏感，因为改变这些输入对DTA和TRE的影响≤0.8 mm。88%的评价结构的最大DTA >5 mm，尽管这些在82%结构的固有分割不确定性范围内。商业和内部研究实现之间的准确度差异对于平均DTA ≤0.5 mm，对于平均TRE ≤0.7 mm。在胸部、腹部和前列腺的大量图像上评价的生物力学可变形配准的准确性与多个模态的平均图像体素分辨率相似。该治疗计划系统实施的验证支持生物力学可变形配准作为多功能临床工具，以实现计划和治疗适应时的准确目标描绘。
The accuracy of deformable image registration tools can vary widely between imaging modalities and specific implementations of the same algorithms. A biomechanical model-based algorithm initially developed in-house at an academic institution was translated into a commercial radiotherapy treatment planning system and validated for multiple imaging modalities and anatomic sites. Biomechanical deformable registration (Morfeus) is a geometry driven algorithm based on the finite element method. Boundary conditions are derived from the model-based segmentation of controlling structures in each image which establishes a point-to-point surface correspondence. For each controlling structure, material properties and fixed or sliding interfaces are assigned. The displacements of internal volumes for controlling structures and other structures implicitly deformed are solved with finite element analysis. Registration was performed for 74 patients with images (mean vector resolution) of thoracic and abdominal 4DCT (2.8 mm) and MR (5.3 mm), liver CT-MR (4.5 mm) and prostate MR (2.6 mm). Accuracy was quantified between deformed and actual target images using distance-to-agreement (DTA) for structure surfaces and the target registration error (TRE) for internal point landmarks. The results of the commercial implementation were as follows. The mean DTA was ≤1.0 mm for controlling structures and 1.0–3.5 mm for implicitly deformed structures on average. TRE ranged from 2.0 mm on prostate MR to 5.1 mm on lung MR on average, within 0.1 mm or lower than the image voxel sizes. Accuracy was not overly sensitive to changes in the material properties or variability in structure segmentations, as changing these inputs affected DTA and TRE by ≤0.8 mm. Maximum DTA >5 mm occurred for 88% of the structures evaluated although these were within the inherent segmentation uncertainty for 82% of structures. Differences in accuracy between the commercial and in-house research implementations were ≤0.5 mm for mean DTA and ≤0.7 mm for mean TRE. Accuracy of biomechanical deformable registration evaluated on a large cohort of images in the thorax, abdomen and prostate was similar to the image voxel resolution on average across multiple modalities. Validation of this treatment planning system implementation supports biomechanical deformable registration as a versatile clinical tool to enable accurate target delineation at planning and treatment adaptation.
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发表时间：
2013-10-01
影响因子：
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