A fast inverse consistent deformable image registration method based on symmetric optical flow computation.
A fast inverse consistent deformable image registration method based on symmetric optical flow computation.
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DOI：
10.1088/0031-9155/53/21/017
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发表时间：
2008-11-07
影响因子：
3.5
通讯作者：
El Naqa I
中科院分区：
文献类型：
--
作者：
Yang D;Li H;Low DA;Deasy JO;El Naqa I
可变形图像配准被广泛用于各种放射治疗应用中，包括日常治疗计划调整，以将计划的组织或剂量映射到变化的解剖结构。为了提高配准精度和收敛速度，提出了一种简单有效的逆一致性变形配准方法。代替将图像I配准到第二图像J，这两个图像在多个通道中朝向彼此对称地变形，直到两个变形的图像匹配并且因此实现正确配准。在每个通道中，通过使用修改的光流算法最小化对称光流系统成本函数来计算增量运动场。然后，分别在正方向和负方向上利用增量运动场对图像进行进一步变形，然后用于下一遍。每次通过时，增量运动场的幅度被强制小于0.4体素，以保证分别在正方向和负方向上累积增量运动场的两个总体运动场的平滑性和可逆性。通过反转一个整体运动场并将反转结果与另一个整体运动场组合来计算在任一方向上配准原始图像I和J的最终运动场。最终的运动场是反向一致的，并且这通过执行配准的对称方式来确保。该方法被证明与幻影图像，人工变形的患者图像和4D-CT图像。我们的研究结果表明，所提出的方法是能够提高整体的准确性（减少30%或更多的配准误差，相比原始和反向不一致的光流算法），减少反向一致性误差（95%或更多），并提高收敛速度（100%或更多）。总体计算速度可能会略有下降，或在大多数情况下增加，因为新方法收敛更快。与已有的逆一致性算法相比，该方法简单、易实现、效率高。
Deformable image registration is widely used in various radiation therapy applications including daily treatment planning adaptation to map planned tissue or dose to changing anatomy. In this work, a simple and efficient inverse consistency deformable registration method is proposed with aims of higher registration accuracy and faster convergence speed. Instead of registering image I to a second image J, the two images are symmetrically deformed toward one another in multiple passes, until both deformed images are matched and correct registration is therefore achieved. In each pass, a delta motion field is computed by minimizing a symmetric optical flow system cost function using modified optical flow algorithms. The images are then further deformed with the delta motion field in the positive and negative directions respectively, and then used for the next pass. The magnitude of the delta motion field is forced to be less than 0.4 voxel for every pass in order to guarantee smoothness and invertibility for the two overall motion fields that are accumulating the delta motion fields in both positive and negative directions, respectively. The final motion fields to register the original images I and J, in either direction, are calculated by inverting one overall motion field and combining the inversion result with the other overall motion field. The final motion fields are inversely consistent and this is ensured by the symmetric way that registration is carried out. The proposed method is demonstrated with phantom images, artificially deformed patient images and 4D-CT images. Our results suggest that the proposed method is able to improve the overall accuracy (reducing registration error by 30% or more, compared to the original and inversely inconsistent optical flow algorithms), reduce the inverse consistency error (by 95% or more) and increase the convergence rate (by 100% or more). The overall computation speed may slightly decrease, or increase in most cases because the new method converges faster. Compared to previously reported inverse consistency algorithms, the proposed method is simpler, easier to implement and more efficient.
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