Evaluation of the diffusion-like accelerated demons algorithm

Damir Demirovic, Amira Serifovic-Trbalic, Emir Skejic, N. Prljaca
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引用次数: 2

Abstract

In this paper we present a new approach for the smoothing of displacement field in the nonrigid accelerated demons algorithm for a discontinuities MRI image registration. accelerated demons algorithm use Gaussian smoothing filter to penalize oscillatory motion in the displacement fields during the registration, which has significant impact on registration quality. Simulated images show that Gaussian smoothing cannot properly handle these discontinuities. For this reason we introduce diffusion-like smoothing which shows promising results, and start as base for our further research on the topic of discontinuous image registration. This significant problem impedes recovering of organ motion in the case for example persons breathing cycle.
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类扩散加速恶魔算法的评价
本文提出了一种用于不连续MRI图像配准的非刚体加速demons算法中位移场平滑的新方法。加速配准算法采用高斯平滑滤波对配准过程中位移场的振荡运动进行惩罚,这对配准质量有较大影响。仿真图像表明,高斯平滑不能很好地处理这些不连续性。为此,我们引入了类扩散平滑,并取得了良好的效果,为进一步研究不连续图像配准奠定了基础。这个严重的问题阻碍了器官运动的恢复,例如人的呼吸循环。
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