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논문검색

Improved Computing Method of Mutual Information in Medical Image Registration

초록

영어

Mutual information based medical image registration is one of the most common registration method in registration domain currently. This paper studies the mutual information of the calculation process for mutual information calculation speed is slow, low efficiency of registration, registration can not meet real-time requirements, an improved gray compression algorithm, by reducing the gray-scale of images to improve image the registration efficiency and gradient similarity combined with mutual information as a new registration measure, so that the registration in improving efficiency while meeting the requirement of registration accuracy. The comparative experiments this article made show that, under the premise of registration accuracy to ensure that the method can significantly improve the speed of image registration.

목차

Abstract
 1. Introduction
 2. The Principle of Medical Image Registration
 3. The Improved Computational Algorithm of Mutual Information
  3.1. Histogram Method to Calculate the Mutual information
  3.2. The Improved Gray-Scale Compression Algorithms
  3.3. The Result of Gray-Scale Compression
 4. Combining the Gradient Similarity with Mutual Information as the Registration Measure
 5. Experiments and Analysis
 6. Conclusion
 Acknowledgements
 References

저자정보

  • Xumin Liu College of Information Engineering Capital Normal University, Beijing 100048, P. R. China
  • Zilong Duan College of Information Engineering Capital Normal University, Beijing 100048, P. R. China
  • Weixiang Xu School of Traffic and Transportation Beijing Jiaotong University, Beijing 100044, P.R. China

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