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A novel method of medical image registration based on resample and wavelet transform

机译:基于重基和小波变换的医学图像配准新方法

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摘要

Medical image registration is a very important technology in the field of medical image fusion, in order to meet the needs of clinical diagnosis and treatment. This paper presents a registration method of medical images based on contour features and multi-scale information. First, the resample operator is used to reduce the resolution of the couple images, and it can reduce the amount of computation effectively in the rough registration process. Second, Canny operator and method of scan line are used to extract the feature contour of the reduced dimension image. Then the principal axis method is applied to realize the rough registration based on contour lines. Finally, the subband images obtained by wavelet transform are used to accomplish the hierarchical registration. The experimental results show that the proposed method can guarantees the accuracy of registration and also reduces the amount of computation in the process of registration, and as well as in the condition of the image has a partial incomplete, we can also get the ideal registration results.
机译:医学图像登记是医学图像融合领域的一个非常重要的技术,以满足临床诊断和治疗的需求。本文介绍了基于轮廓特征和多尺度信息的医学图像的注册方法。首先,重基金机用于减少耦合图像的分辨率,并且可以在粗略的登记过程中有效地减少计算量。其次,罐内操作员和扫描线的方法用于提取减小的尺寸图像的特征轮廓。然后应用主轴方法以实现基于轮廓线的粗略注册。最后,通过小波变换获得的子带图像用于完成分层注册。实验结果表明,该方法可以保证注册的准确性,并降低了登记过程中的计算量,以及在图像的条件下具有部分不完整,我们还可以获得理想的注册结果。

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