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Medical image interpolation based on multi-resolution registration

机译:基于多分辨率配准的医学图像插值

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摘要

We present a novel registration-based image interpolation approach in this paper. The proposed method is divided into two steps: image registration and intensity interpolation. An image registration method is developed to construct a corresponding transformation, which is represented by the bicubic B-spline vector-valued function, between the given images so that the image features are well matched. To match features from coarse to fine, a multi-resolution strategy is applied with different numbers of B-spline control points adopted at various resolution levels. After registration, the intensity values of in-between images are calculated by linear/cubic interpolation along the matching lines. Experimental results demonstrate that our interpolation approach is effective, robust, and capable of producing continuously deformed in-between images with clear shape features.
机译:我们在本文中提出了一种新颖的基于配准的图像插值方法。所提出的方法分为两个步骤:图像配准和强度插值。开发了一种图像配准方法来构造给定图像之间的对应变换,该变换由双三次B样条向量值函数表示,从而使图像特征很好地匹配。为了使特征从粗到细匹配,对不同分辨率级别采用了不同分辨率的B样条控制点的多分辨率策略。配准后,通过沿着匹配线的线性/三次插值来计算中间图像的强度值。实验结果表明,我们的插值方法是有效,鲁棒的,并且能够生成具有清晰形状特征的连续变形中间图像。

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