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首页> 外文期刊>Computers in Biology and Medicine >Computerized method for nonrigid MR-to-PET breast-image registration.
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Computerized method for nonrigid MR-to-PET breast-image registration.

机译：非刚性MR-PET乳房图像配准的计算机化方法。

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We have developed and tested a new simple computerized finite element method (FEM) approach to MR-to-PET nonrigid breast-image registration. The method requires five-nine fiducial skin markers (FSMs) visible in MRI and PET that need to be located in the same spots on the breast and two on the flanks during both scans. Patients need to be similarly positioned prone during MRI and PET scans. This is accomplished by means of a low gamma-ray attenuation breast coil replica used as the breast support during the PET scan. We demonstrate that, under such conditions, the observed FSM displacement vectors between MR and PET images, distributed piecewise linearly over the breast volume, produce a deformed FEM mesh that reasonably approximates nonrigid deformation of the breast tissue between the MRI and PET scans. This method, which does not require a biomechanical breast tissue model, is robust and fast. Contrary to other approaches utilizing voxel intensity-based similarity measures or surface matching, our method works for matching MR with pure molecular images (i.e. PET or SPECT only). Our method does not require a good initialization and would not be trapped by local minima during registration process. All processing including FSMs detection and matching, and mesh generation can be fully automated. We tested our method on MR and PET breast images acquired for 15 subjects. The procedure yielded good quality images with an average target registration error below 4mm (i.e. well below PET spatial resolution of 6-7 mm). Based on the results obtained for 15 subjects studied to date, we conclude that this is a very fast and a well-performing method for MR-to-PET breast-image nonrigid registration. Therefore, it is a promising approach in clinical practice. This method can be easily applied to nonrigid registration of MRI or CT of any type of soft-tissue images to their molecular counterparts such as obtained using PET and SPECT.
机译：我们已经开发和测试了一种新的简单的计算机有限元方法（FEM），用于MR-to-PET非刚性乳房图像配准。该方法需要在MRI和PET中可见的五个九个基准皮肤标记（FSM），在两个扫描过程中，它们都必须位于乳房的相同部位和侧面的两个部位。在MRI和PET扫描期间，患者也需要俯卧。这是通过在PET扫描期间用作乳房支撑物的低伽马射线衰减乳房线圈复制品来完成的。我们证明，在这种情况下，在MR和PET图像之间观察到的FSM位移矢量在乳房体积上呈分段线性分布，产生了变形的FEM网格，可以合理地近似MRI和PET扫描之间乳房组织的非刚性变形。该方法不需要生物力学的乳腺组织模型，因此非常可靠且快速。与其他利用基于体素强度的相似性度量或表面匹配的方法相反，我们的方法适用于将MR与纯分子图像（即仅PET或SPECT）进行匹配。我们的方法不需要良好的初始化，并且在注册过程中不会被局部最小值所困。包括FSM检测和匹配以及网格生成在内的所有处理都可以完全自动化。我们在15位受试者的MR和PET乳房图像上测试了我们的方法。该程序产生了高质量的图像，平均目标配准误差低于4mm（即远低于6-7 mm的PET空间分辨率）。根据迄今研究的15名受试者获得的结果，我们得出结论，这是一种非常快速且性能良好的MR-to-PET乳房图像非刚性配准方法。因此，这在临床实践中是一种有前途的方法。这种方法可以轻松地应用于任何类型的软组织图像的MRI或CT的非刚性配准（例如使用PET和SPECT获得的分子）。

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