Nonrigid registration of dynamic medical imaging data using nD plus t B-splines and a groupwise optimization approach
Nonrigid registration of dynamic medical imaging data using nD plus t B-splines and a groupwise optimization approach
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DOI：
10.1016/j.media.2010.10.003
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发表时间：
2011-04-01
影响因子：
10.9
通讯作者：
Niessen, W. J.
中科院分区：
文献类型：
--
作者：
Metz, C. T.;Klein, S.;Niessen, W. J.
提出了一种动态医学成像数据中运动估计的配准方法。配准直接在动态图像上执行，从而避免了对特定选择的参考时间点的偏差。同时考虑了变换的空间光滑性和时间光滑性。或者，可以施加循环运动，这对于可视化(按顺序查看分段)或模型构建目的很有用。该方法基于3D(2D+时间)或4D(3D+时间)自由形式的B-Spline变形模型、最小化强度随时间变化的相似性度量以及基于自适应步长估计的随机梯度下降法的约束优化。将该方法与现有的基于合成数据和3D+t肺部CT数据的配准技术进行了定量比较。这显示了亚体素的准确性，同时提供了平滑的变换，并且配准结果具有高度的一致性。此外，还评估了从心脏3D+T CT血管成像数据半自动推导左心室容量曲线的准确性。平均而言，与手动注释得出的曲线的偏差约为3%。在2D+t超声和2D+t磁共振图像上显示了该方法用于其他成像方式的潜力。该软件作为注册程序包的扩展程序公开可用。(C)2010爱思唯尔B.V.保留所有权利。
A registration method for motion estimation in dynamic medical imaging data is proposed. Registration is performed directly on the dynamic image, thus avoiding a bias towards a specifically chosen reference time point. Both spatial and temporal smoothness of the transformations are taken into account. Optionally, cyclic motion can be imposed, which can be useful for visualization (viewing the segmentation sequentially) or model building purposes. The method is based on a 3D (2D + time) or 4D (3D + time) free-form B-spline deformation model, a similarity metric that minimizes the intensity variances over time and constrained optimization using a stochastic gradient descent method with adaptive step size estimation. The method was quantitatively compared with existing registration techniques on synthetic data and 3D + t computed tomography data of the lungs. This showed subvoxel accuracy while delivering smooth transformations, and high consistency of the registration results. Furthermore, the accuracy of semi-automatic derivation of left ventricular volume curves from 3D + t computed tomography angiography data of the heart was evaluated. On average, the deviation from the curves derived from the manual annotations was approximately 3%. The potential of the method for other imaging modalities was shown on 2D + t ultrasound and 2D + t magnetic resonance images. The software is publicly available as an extension to the registration package elastix. (C) 2010 Elsevier B.V. All rights reserved.