Non-parametric Diffeomorphic Image Registration with the Demons Algorithm
Non-parametric Diffeomorphic Image Registration with the Demons Algorithm
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DOI：
10.1007/978-3-540-75759-7_39
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发表时间：
2007-10
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影响因子：
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通讯作者：
Tom Kamiel Magda Vercauteren;X. Pennec;Aymeric Perchant;N. Ayache
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文献类型：
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作者：
Tom Kamiel Magda Vercauteren;X. Pennec;Aymeric Perchant;N. Ayache
提出了一种基于Thirion的Demons算法的非参数同构图像配准算法。demons算法可以看作是对整个位移场空间的优化过程。我们的算法的主要思想是适应这一过程的空间的超纯变换。与许多非纯配准算法相比，我们的解决方案在计算上是有效的，因为在实践中，它只取代了几个组成的自由形式的变形。我们的实验表明，除了是同构的，我们的算法提供的结果是类似的恶魔算法，但与转换更平滑，更接近真正的雅可比矩阵。
We propose a non-parametric diffeomorphic image registration algorithm based on Thirion’s demons algorithm. The demons algorithm can be seen as an optimization procedure on the entire space of displacement fields. The main idea of our algorithm is to adapt this procedure to a space of diffeomorphic transformations. In contrast to many diffeomorphic registration algorithms, our solution is computationally efficient since in practice it only replaces an addition of free form deformations by a few compositions. Our experiments show that in addition to being diffeomorphic, our algorithm provides results that are similar to the ones from the demons algorithm but with transformations that are much smoother and closer to the true ones in terms of Jacobians.