Accuracy of finite element model-based multi-organ deformable image registration
Accuracy of finite element model-based multi-organ deformable image registration
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DOI：
10.1118/1.1915012
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发表时间：
2005-06-01
期刊：
影响因子：
3.8
通讯作者：
Jaffray, DA
中科院分区：
文献类型：
--
作者：
Brock, KK;Sharpe, MB;Jaffray, DA
随着更多的治疗前成像被集成到治疗计划过程中，并且全三维图像引导成为治疗实施的一部分，对可变形图像配准技术的需求变得更加明显。开发了一种新颖的基于有限元模型的多器官变形图像配准方法MORFEUS。该方法的基础是双重的：首先，可以通过将一个实例中的器官表面变形为另一个实例中的器官表面并分配允许内部结构精确变形到次要位置的材料属性来精确建模单个器官变形；其次，可以通过明确定义器官子集的变形并分配器官之间的表面界面来实现多器官可变形对齐。在健康志愿者吸气和呼气时的MR胸腹部图像上测试了该方法的可行性和准确性。对于胸部病例，肺部和外表面明显变形，而乳房根据其与肺部和外表面的关系隐式变形。对于腹部病例，肝脏、脾脏和外表面明显变形，胃和肾脏隐性变形。通过跟踪可见分叉确定的肺和肝脏变形的平均精度（平均绝对误差）在 LR、AP 和 IS 方向分别为 0. 19 (s.d.: 0.09)、0.28 (s.d.: 0. 12) 和 0. 17(s.d.: 0.07) cm。隐式变形器官在 LR、AP 和 IS 方向的平均精度分别为 0. 11 (s.d.: 0. 11)、0. 13 (s.d.: 0. 12) 和 0.08 (s.d.: 0.09) cm。肺和肝脏变形的准确度的平均矢量幅度为 0.44 (s.d.: 0.20) cm，隐式变形器官的平均矢量幅度为 0.24 (s.d.: 0. 18) cm。选定器官的显式变形和有限元分析计算这两个主要过程分别需要不到 120 秒和 495 秒。该平台可以促进将可变形图像配准集成到在线图像引导程序、剂量计算和组织反应监测中，以及执行多模态图像配准以用于治疗计划。 (c) 2005 年美国医学物理学家协会。
As more pretreatment imaging becomes integrated into the treatment planning process and full three-dimensional image-guidance becomes part of the treatment delivery the need for a deformable image registration technique becomes more apparent. A novel finite element model-based multi organ deformable image registration method, MORFEUS, has been developed. The basis of this method is twofold: first, individual organ deformation can be accurately modeled by deforming the surface of the organ at one instance into the surface of the organ at another instance and assigning the material properties that allow the internal structures to be accurately deformed into the secondary position and second, multi-organ deformable alignment can be achieved by explicitly defining the deformation of a subset of organs and assigning surface interfaces between organs. The feasibility and accuracy of the method was tested on MR thoracic and abdominal images of healthy volunteers at inhale and exhale. For the thoracic cases, the lungs and external surface were explicitly deformed and the breasts were implicitly deformed based on its relation to the lung and external surface. For the abdominal cases, the liver, spleen, and external surface were explicitly deformed and the stomach and kidneys were implicitly deformed. The average accuracy (average absolute error) of the lung and liver deformation, determined by tracking visible bifurcations, was 0. 19 (s.d.: 0.09), 0.28 (s.d.: 0. 12) and 0. 17(s.d.: 0.07) cm, in the LR, AP, and IS directions, respectively. The average accuracy of implicitly deformed organs was 0. 11 (s.d.: 0. 11), 0. 13 (s.d.: 0. 12), and 0.08 (s.d.: 0.09) cm, in the LR, AP, and IS directions, respectively. The average vector magnitude of the accuracy was 0.44 (s.d.: 0.20) cm for the lung and liver deformation and 0.24 (s.d.: 0. 18) cm for the implicitly deformed organs. The two main processes, explicit deformation of the selected organs and finite element analysis calculations, require less than 120 and 495 s, respectively. This platform can facilitate the integration of deformable image registration into online image guidance procedures, dose calculations, and tissue response monitoring as well as performing multi-modality image registration for purposes of treatment planning. (c) 2005 American Association of Physicists in Medicine.