A Registration Method for Multimodal Medical Images Using Contours Mutual Information

نویسندگان

  • Ying Qian
  • Meng Li
  • Qingjie Wei
  • Xuemei Ren
چکیده

In recent years, mutual information has developed as a popular image registration measure especially in multimodality image registration. For different modality medical images, the contour of tissues or organs is similarity. In this paper, an effective new registration method of the multimodal medical images based on the contour mutual information is proposed. Firstly, get the contour through variational level set method. Secondly, within the contour pixels are assigned the same grayscale value, obtain two contour images. Finally, two contour images using mutual information as similarity measure for image registration. The experiment results show that the registration algorithm proposed in this paper can do more effectively and more accurately work than normalized mutual information and gradient mutual information. (Abstract) Keywords—contour mutual information; mutual information; multimodal medical image; image registration; variational level set method

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تاریخ انتشار 2014