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Volume-preserving correction for image registration using free-form deformations

机译:使用自由形式的变形进行图像配准的体积保留校正

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Registration of an image non-rigidly to another one causes deformations, which generally do not preserve the initial volume. Volume preservation is however indispensable for observing tumors in medical images. This paper presents the correction of B-spline based registration to preserve the volume in observed regions. In contrast to other approaches, our solution is not obtained through energy minimization, but by calculating the correction parameters for the deformation directly. Especially for high resolution image data this strategy is very efficient in terms of computational expenses. We derive a closed form solution to optimize the registration with respect to the compression at a single point and then extend the problem to multiple points. Finally we prove also that the correction terms do not have any significant influence on the registration quality.
机译:将图像非刚性地配准到另一个图像会导致变形,通常不会保留初始体积。然而,体积保留对于观察医学图像中的肿瘤是必不可少的。本文提出了基于B样条的配准校正,以保留观察区域中的体积。与其他方法相比,我们的解决方案不是通过最小化能量来获得的,而是通过直接计算变形的校正参数来获得的。特别是对于高分辨率图像数据,此策略在计算费用方面非常有效。我们得出一个封闭形式的解决方案,以针对单个点的压缩优化配准,然后将问题扩展到多个点。最后,我们还证明了更正项对注册质量没有重大影响。

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