Earticle

초록

영어

In order to provide more comprehensive and effective information for cancer diagnosis and tumor treatment planning, it is necessary to fuse multi-modal medical images, such as CT/MRI image, CT/PET image, MRI/SPECT image and so on. In this paper, a multi-modal medical image fusion method based on Non-subsampled Shearlet Transform is proposed. Firstly, in this method, source images are decomposed into low-pass and high-pass subbands by NSST. Then, due to the characteristic features--large sparsity and strong contrast, the high-frequency and low-frequency coefficients of the images are fused by the different fusion rules. Finally, the image is reconstructed by the inverse non-sampled shearlet transform. In the method, the fusion rules are designed based on the regional energy and the average gradient; the image entropy, relative quality, average gradient, standard deviation and spatial frequency were used to evaluate the fusion results objectively. In the experiments, CT and MRI images are chosen to verify the method. Both the visual and the objective analysis show that the proposed method is better than the conventional Wavelet-based and non-subsampled Contourlet-based methods.

목차

Abstract
 1. Introduction
 2. Theory on Shearlet Transform
  2.1. The Shearlet Transform
  2.2. Non-subsampled Shearlet Transform--NSST
 3. Proposed Fusion Algorithm
  3.1. Diagram of Fusion Scheme
  3.2. The Selection of Fusion Rules
 4. Experimental Results and Discussion
 5. Conclusion
 Acknowledgements
 References

키워드

저자

• Xing Xiaoxue [ College of Communications Engineering, Jilin University, Changchun 130022, China, College of Information Engineering, Changchun University, Changchun 130022, China ]
• Cao Fucheng [ College of Information Engineering, Changchun University, Changchun 130022, China ]
• Shang Weiwei [ College of Information Engineering, Changchun University, Changchun 130022, China ]
• Liu Fu [ College of Communications Engineering, Jilin University, Changchun 130022, China ] Corresponding author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605