Logarithmic Fuzzy Entropy Function for Similarity Measurement in Multimodal Medical Images Registration.

Journal: Computational and mathematical methods in medicine
Published Date: Feb 12, 2020

Abstract

Multimodal medical images are useful for observing tissue structure clearly in clinical practice. To integrate multimodal information, multimodal registration is significant. The entropy-based registration applies a structure descriptor set to replace the original multimodal image and compute similarity to express the correlation of images. The accuracy and converging rate of the registration depend on this set. We propose a new method, logarithmic fuzzy entropy function, to compute the descriptor set. It is obvious that the proposed method can increase the upper bound value from log() to log() + ∆() so that a more representative structural descriptor set is formed. The experiment results show that our method has faster converging rate and wider quantified range in multimodal medical images registration.

Authors

  • Yu Miao
    Software College, Northeastern University, Shenyang, 110819, China.
  • Jiaying Gao
    Changchun University of Science and Technology, School of Computer Science and Technology, WeiXing Road, Changchun 130022, China.
  • Ke Zhang
    Center for Radiation Oncology, Affiliated Hangzhou Cancer Hospital, Zhejiang University School of Medicine, Hangzhou 310001, China.
  • Weili Shi
    Changchun University of Science and Technology, School of Computer Science and Technology, WeiXing Road, Changchun 130022, China.
  • Yanfang Li
    Changchun University of Science and Technology, School of Computer Science and Technology, WeiXing Road, Changchun 130022, China.
  • Jiashi Zhao
    Changchun University of Science and Technology, School of Computer Science and Technology, WeiXing Road, Changchun 130022, China.
  • Zhengang Jiang
    School of Computer Science and Technology, Medical Imaging Engineering Laboratory, Changchun University of Science and Technology, No.7089, Weixing Road, Changchun, China.
  • Huamin Yang
    School of Computer Science and Technology, Medical Imaging Engineering Laboratory, Changchun University of Science and Technology, No.7089, Weixing Road, Changchun, China. yhm@cust.edu.cn.
  • Fei He
    Biology Department, Brookhaven National Laboratory, Upton, New York, USA.
  • Wei He
    Department of Orthopaedics Surgery, First Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine, Guangzhou, China.
  • Jun Qin
    Qilu Hospital of Shandong University, Department of Endocrinology, Jinan, Shandong, China.
  • Tao Chen
    School of Automation, Northwestern Polytechnical University, Xi'an, 710072, Shaanxi, China.

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