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Curvature-Based Registration for Slice Interpolation of Medical Images

机译:基于曲率的医学图像切片插值配准

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Slice interpolation is a fast growing field in medical image processing. Intensity-based interpolation and object-based interpolation are two major groups of methods in the literature. In this paper an object based method for slice interpolation using a modified version of curvature registration is proposed. Due to non-linear nature of image registration the results of forward and backward registration can be different. Therefore assuming a linear displacement between corresponding pixels of reference and moving image, a functional is minimized and the displacement fields for both reference and moving images with respect to the missing in-between slice are computed and used for reconstruction of the missing slice. The proposed approach is evaluated quantitatively by using the Mean Squared Difference (MSD) as metric. The produced results show significant visual improvement in preserving sharp edges in images.
机译:切片插值是医学图像处理中快速发展的领域。基于强度的插值和基于对象的插值是文献中的两大类方法。本文提出了一种基于对象的切片插值方法,该方法使用了改进的曲率配准版本。由于图像配准的非线性特性,前向和后向配准的结果可能会有所不同。因此,假设参考图像和运动图像的相应像素之间存在线性位移,则功能被最小化,并且参考图像和运动图像两者相对于缺失的中间切片的位移场被计算并用于重建缺失的切片。通过使用均方差(MSD)作为度量对所提出的方法进行定量评估。产生的结果表明,在保留图像的锐利边缘方面,视觉效果得到了显着改善。

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