Elastic registration of biological images using vector-spline regularization
Elastic registration of biological images using vector-spline regularization
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DOI：
10.1109/tbme.2005.844030
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发表时间：
2005-04-01
影响因子：
4.6
通讯作者：
Unser, M
中科院分区：
文献类型：
--
作者：
Sorzano, COS;Thévenaz, P;Unser, M
提出了一种用于生物图像对齐的弹性配准算法。我们的方法结合并扩展了医学成像领域的一些最佳技术。我们将变形场表示为b样条模型，这使我们能够处理丰富多样的变形。我们通过最小化目标图像和扭曲源之间的像素均方距离来解决配准问题。该问题进一步受到矢量样条正则化的约束，该正则化提供了对变形固有的两个独立量的控制：散度和旋度。我们的算法还能够处理软地标约束，这在图像的部分包含很少的信息或重新划分不均匀时特别有用。我们提供了一个最优的分析解决方案的情况下，只有地标和平滑的考虑。考虑到。我们已经应用我们的方法来执行图像的弹性配准，如电泳凝胶和苍蝇胚胎。在所有情况下，专家对结果的验证都是有利的。
We present an elastic registration algorithm for the alignment of biological images. Our method combines and extends some of the best techniques available in the context of medical imaging. We express the deformation field as a B-spline model, which allows us to deal with a rich variety of deformations. We solve the registration problem by minimizing a pixelwise mean-square distance measure between the target image and the warped source. The problem is further constrained by way of a vector-spline regularization which provides some control over two independent quantities that are,intrinsic to the deformation: its divergence, and its curl. Our algorithm is also able to handle soft landmark constraints, which is particularly useful when parts of the images contain very little information or when its repartition is uneven. We provide an optimal analytical solution in the case when only landmarks and smoothness considerations are. taken into account. We have applied our approach to perform the elastic registration of images such as electrophoretic gels and fly embryos. The validation of the results by experts has been favorable in all cases.