A novel hierarchical medical image registration method based on multiscale and contour line

Jinyan Hu, Yunfeng Yang, Z. Su
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引用次数: 3

Abstract

Medical image registration is the key technology in the modern medical images processing field. A rapid and effective hierarchical registration method of the medical images based on multiscale transform and contour line is proposed in the paper, and it can be accomplished automatically. Firstly, edge features of the couple images are extracted by Canny operator. Then the contour lines of the couple images are extracted based on the edge features. Secondly, Principal Axis method is used to accomplish the rough registration based on the contour lines. Thirdly, multiscale image sets which obtained by a new multiscale transform are used to accomplish the couple images' accurate registration based on the rough registration. Experiment results show that this method not only can achieve more accurate registration results, but also can reduce the computational time greatly. The accurate registration results also can be achieved in the noisy environment.
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一种基于多尺度和等高线的分层医学图像配准方法
医学图像配准是现代医学图像处理领域的关键技术。提出了一种基于多尺度变换和等高线的医学图像快速有效的分层配准方法,并可自动完成配准。首先,利用Canny算子提取图像的边缘特征;然后根据边缘特征提取成对图像的轮廓线。其次,采用主轴法实现基于轮廓线的粗配准;第三,利用新的多尺度变换得到的多尺度图像集,在粗糙配准的基础上完成对图像的精确配准;实验结果表明,该方法不仅可以获得更准确的配准结果,而且可以大大减少计算时间。在噪声环境下也能获得准确的配准结果。
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