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Despeckling of medical ultrasound images based on quantum-inspired adaptive threshold

Despeckling of medical ultrasound images based on quantum-inspired adaptive threshold

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  • Author(s): X.-W. Fu 1 ; M.-Y. Ding 2 ; C. Cai 1
    • View affiliations
    • Affiliations: 1: State Key Laboratory for Multi-spectral Information Processing Technologies, Institute for Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology, Wuhan, People's Republic of China
      2: Image Processing and Intelligence Control Key Laboratory of Education Ministry of China, School of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, People's Republic of China
  • Source: Volume 46, Issue 13, 24 June 2010, p. 889 – 891
    DOI:  10.1049/el.2010.1092 , Print ISSN 0013-5194, Online ISSN 1350-911X
© The Institution of Engineering and Technology
Published

A speckle suppression method for medical ultrasound images is proposed by combining the dual-tree complex wavelet transform (DTCWT) with a new quantum-inspired adaptive threshold function. An adaptive non-Gaussian statistical model is proposed for the complex wavelet coefficients. According to products of the coefficients and their parents in multi-scale subbands, the quantum-inspired probability of noise is considered in the proposed threshold function. Experiments demonstrate the effectiveness of the proposed method.

Inspec keywords: wavelet transforms; image denoising; Gaussian processes; medical image processing; biomedical ultrasonics

Other keywords: nonGaussian statistical model; quantum-inspired adaptive threshold function; medical ultrasound images; speckle suppression method; dual-tree complex wavelet transform; quantum-inspired probability

Subjects: Biology and medical computing; Integral transforms; Probability theory, stochastic processes, and statistics; Computer vision and image processing techniques; Patient diagnostic methods and instrumentation; Function theory, analysis; Sonic and ultrasonic radiation (biomedical imaging/measurement); Other topics in statistics; Optical, image and video signal processing; Integral transforms; Other topics in statistics; Sonic and ultrasonic radiation (medical uses)

References

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      • F.X. Yan , S.L. Peng , L.Z. Cheng . Dual-tree complex wavelet hidden Markov tree model for image denoising. Electron. Lett. , 18 , 973 - 975
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      • X. Hao , S. Gao , X. Gao . A novel multiscale nonlinear thresholding method for ultrasonic speckle suppressing. IEEE Trans. Med. Imaging , 9 , 787 - 794
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      • M.I.H. Bhuiyan , M.O. Ahmad , M.N.S. Swamy . Spatially adaptive thresholding in wavelet domain for speckling of ultrasound images. IET Image Proc. , 3 , 147 - 162
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      • A. Khare , M. Khare , Y. Jeong , H. Kim , M. Jeon . Despeckling of medical ultrasound images using daubechies complex wavelet transform. Signal Process. , 2 , 428 - 439
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