一种基于强度和点特征的多分辨率医学图像配准方法

Wei Shen, Chaobing Huang, Wu Zhou
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引用次数: 0

摘要

局部形变医学图像的配准是一个难点问题,特别是待配准图像不仅存在局部形变,而且灰度分布差异较大。在配准中,将基于地标点的欧氏距离度量作为惩罚项加入到基于强度的度量中,是解决这一问题的一种很好的方法。本文提出了一种改进的距离度量方法,使局部变形比欧几里得距离度量更精确。此外,针对多分辨率配准模型,提出了一种自适应权值法进行多分辨率配准,使配准效果更好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A multi-resolution medical image registration method based on intensity and point features
The registration of medical images with local deformation is a difficult problem, especially the images to be registered not only have local deformation but also have great difference in gray-scale distribution. It is a excellent method to solve this problem by adding the Euclidean Distance Metric based on landmark points as the penalty term to the Intensity-based metric in the registration. In this paper, an improved distance measure is proposed, which makes the local deformation more accurate than the Euclidean Distance Metric. In addition, for the multi-resolution registration model, an adaptive weight of metric method for multi-resolution registration is proposed, which makes the registration results better.
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