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Fast Dual-Tree Wavelet Composite Splitting Algorithms for Compressed Sensing MRI

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Neural Information Processing (ICONIP 2016)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9947))

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Abstract

We presented new reconstruction algorithms for compressed sensing magnetic resonance imaging (CS-MRI) based on the combination of the fast composite splitting algorithm (FCSA) and complex dual-tree wavelet transform (DT-CWT) and on the combination of FCSA and double density dual-tree wavelet transform (DDDT-DWT), respectively. We applied the bivariate thresholding to these two combinations. The proposed methods not only inherit the effectiveness and fast convergence of FCSA but also improve the sparse representation of both point-like and curve-like features. Experimental results validate the effectiveness and efficiency of the proposed methods.

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Acknowledgement

This work is supported by the National Natural Science Foundation of China (No. 61271374).

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Authors and Affiliations

  1. Beijing Key Laboratory of Intelligent Information Technology, School of Computer Science and Technology, Beijing Institute of Technology, Beijing, 100081, China

    Jianwu Li, Jinpeng Zhou, Qiang Tu & Javaria Ikram

  2. Department of Psychiatry, Columbia University, New York, NY, 10032, USA

    Zhengchao Dong

Authors
  1. Jianwu Li
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  2. Jinpeng Zhou
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  3. Qiang Tu
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  4. Javaria Ikram
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  5. Zhengchao Dong
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Corresponding author

Correspondence to Jianwu Li .

Editor information

Editors and Affiliations

  1. The University of Tokyo, Tokyo, Japan

    Akira Hirose

  2. Kobe University, Kobe, Japan

    Seiichi Ozawa

  3. Okinawa Institute of Science and Technology Graduate University, Onna, Japan

    Kenji Doya

  4. Nara Institute of Science and Technology, Ikoma, Japan

    Kazushi Ikeda

  5. Kyungpook National University, Daegu, Korea (Republic of)

    Minho Lee

  6. Chinese Academy of Sciences, Beijing, China

    Derong Liu

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Li, J., Zhou, J., Tu, Q., Ikram, J., Dong, Z. (2016). Fast Dual-Tree Wavelet Composite Splitting Algorithms for Compressed Sensing MRI. In: Hirose, A., Ozawa, S., Doya, K., Ikeda, K., Lee, M., Liu, D. (eds) Neural Information Processing. ICONIP 2016. Lecture Notes in Computer Science(), vol 9947. Springer, Cham. https://doi.org/10.1007/978-3-319-46687-3_57

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  • DOI: https://doi.org/10.1007/978-3-319-46687-3_57

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-46686-6

  • Online ISBN: 978-3-319-46687-3

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