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An Effective Non-rigid Registration Approach for Ultrasound Image Based On “Demons” Algorithm

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Abstract

Medical image registration is an important component of computer-aided diagnosis system in diagnostics, therapy planning, and guidance of surgery. Because of its low signal/noise ratio (SNR), ultrasound (US) image registration is a difficult task. In this paper, a fully automatic non-rigid image registration algorithm based on demons algorithm is proposed for registration of ultrasound images. In the proposed method, an “inertia force” derived from the local motion trend of pixels in a Moore neighborhood system is produced and integrated into optical flow equation to estimate the demons force, which is helpful to handle the speckle noise and preserve the geometric continuity of US images. In the experiment, a series of US images and several similarity measure metrics are utilized for evaluating the performance. The experimental results demonstrate that the proposed method can register ultrasound images efficiently, robust to noise, quickly and automatically.

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Acknowledgments

Financial support from the National Nature Science Foundation of China (NSFC) greatly appreciated; Grant numbers: 81071216, 61100097.

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Authors and Affiliations

  1. School of Computer Science and Technology, Harbin Institute of Technology, Harbin, No. 92, Xidazhi Street, Harbin, 150001, People’s Republic of China

    Yan Liu, H. D. Cheng, Jianhua Huang, Yingtao Zhang & Xianglong Tang

  2. College of Science, Harbin Institute of Technology, Harbin, No. 92, Xidazhi Street, Harbin, 150001, People’s Republic of China

    Yan Liu

  3. Department of Computer Science, Utah State University, Logan, UT, 84322, USA

    H. D. Cheng

  4. Second Affiliated Hospital of Harbin Medical University, Harbin, China

    Jiawei Tian

Authors
  1. Yan Liu
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  2. H. D. Cheng
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  3. Jianhua Huang
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  4. Yingtao Zhang
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  5. Xianglong Tang
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Correspondence to H. D. Cheng.

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Liu, Y., Cheng, H.D., Huang, J. et al. An Effective Non-rigid Registration Approach for Ultrasound Image Based On “Demons” Algorithm. J Digit Imaging 26, 521–529 (2013). https://doi.org/10.1007/s10278-012-9532-0

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  • DOI: https://doi.org/10.1007/s10278-012-9532-0

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