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

机译:使用自由形式变形进行图像配准的音量校正

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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:非刚性地对另一个图像的注册会导致变形,这通常不会保留初始体积。 然而,体积保存对于观察医学图像中的肿瘤是必不可少的。 本文介绍了基于B样条曲线的配准,以保持观察区域的体积。 与其他方法相比,我们的解决方案无法通过能量最小化获得,而是通过直接计算变形的校正参数来获得。 特别是对于高分辨率图像数据,这种策略在计算费用方面非常有效。 我们推出了一个封闭的表格解决方案,以在单点的压缩方面优化注册,然后将问题延伸到多个点。 最后,我们还证明了惩戒术语对登记质量没有任何重大影响。

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