Volume 30 Issue 5
Sep.  2021
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LI Ruijing, CHEN Houjin, PENG Yahui, et al., “Sitting or Standing Data Acquisition Based Breast Ultrasound Computed Tomography,” Chinese Journal of Electronics, vol. 30, no. 5, pp. 909-917, 2021, doi: 10.1049/cje.2021.07.002
Citation: LI Ruijing, CHEN Houjin, PENG Yahui, et al., “Sitting or Standing Data Acquisition Based Breast Ultrasound Computed Tomography,” Chinese Journal of Electronics, vol. 30, no. 5, pp. 909-917, 2021, doi: 10.1049/cje.2021.07.002

Sitting or Standing Data Acquisition Based Breast Ultrasound Computed Tomography

doi: 10.1049/cje.2021.07.002

This work is supported by the National Natural Science Foundation of China (No.61771039, No.61872030, No.61571036).

  • Received Date: 2019-11-26
    Available Online: 2021-09-02
  • Ultrasound computed tomography (UCT) is a promising approach for early breast cancer screening. However, current studies which use prone posture to collect breast ultrasonic data cause four problems, a long non-data-acquisition time, inconvenient, possible chances for cross infection, and a large area occupied by equipment. The purpose of this study is to estimate a complete breast UCT image by using sitting or standing data acquisition, which can obtains a more rapid, convenient and sanitary examination process, and a less space occupied by equipment. Therefore, this study proposes a sitting or standing data acquisition based breast UCT method, which is a more practical data acquisition method for breast UCT. This study places a uniform soft sleeve on the outside of the breast so that it would not be deformed significantly due to the change of body posture. Because the soft sleeve is an influencing factor from outside for breast imaging, this study discusses the considerations for selecting that. Computer simulations are conducted to prove the effectiveness of the proposed method. Results suggest that, by using a soft sleeve whose sound speed is between 1450m/s and 1550m/s, the proposed method is effective; the biases of the reconstructed images are less than 1% under the 5% noise condition.
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  • X. Liu, Y. An, B. Yu, et al., "Analysis of commonly and specifically dysregulated pathways in three women cancers", Chinese Journal of Electronics, Vol.27, No.5, pp.1043-1049, 2018.
    K. Wang, T. Matthews, F. Anis, et al., "Waveform inversion with source encoding for breast sound speed reconstruction in ultrasound computed tomography", in IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, Vol.62, No.3, pp.475-493, 2015.
    R. C. Chivers and R. J. Parry, "Ultrasonic velocity and attenuation in mammalian tissues", J. Acoust. Soc. Am., Vol.63, No.3, pp.940-953, 1978.
    S. A. Goss, R. L. Johnston and F. Dunn, "Comprehensive compilation of empirical ultrasonic properties of mammalian tissues", J. Acoust. Soc. Am., Vol.64, No.2, pp.423-457, 1978.
    N. Duric, P. Littrup, L. Poulo, et al., "Detection of breast cancer with ultrasound tomography:First results with the computed ultrasound risk evaluation (CURE) prototype", Medical Physics, Vol.34, No.2, pp.773-785, 2007.
    N. Duric, P. Littrup, O. Roy, et al., "Breast imaging with ultrasound tomography:Initial results with SoftVue", in IEEE Int. Ultrasonics Symp., pp.382-385, 2013.
    K. J. Opieliński, P. Pruchnicki, T. Gudra, et al., "Imaging results of multi-modal ultrasound computerized tomography system designed for breast diagnosis", Computerized Medical Imaging and Graphics, Vol.46, No.2, pp.83-94, 2015.
    R. J. Li, H. J. Chen, Y. H. Peng, et al., "Numerical study of square border ultrasonic transducer element arrays for breast imaging in ultrasound computed tomography with waveform inversion method", Chinese Journal of Electronics, Vol.28, No.5, pp.1000-1007, 2019.
    R. J. Li, H. J. Chen, Y. H. Peng, et al., "Comparison of four forward models for breast imaging in ultrasound computed tomography", Chinese Journal of Electronics, Vol.28, No.4, pp.805-816, 2019.
    T. Matthews, K. Wang, C. Li, et al., "Regularized dual averaging image reconstruction for full-wave ultrasound computed tomography", in IEEE Transactions on Ultrasonics Ferroelectrics & Frequency Control, Vol.64, No.5, pp.811-825, 2017.
    M. Pérezliva, J. L. Herraiz, J. M. Udías, et al., "Time domain reconstruction of sound speed and attenuation in ultrasound computed tomography using full wave inversion", J. Acoust. Soc. Am., Vol.141, No.3, pp.1595-1604, 2017.
    S. Bernard, V. Monteiller, D. Komatitsch, et al., "Ultrasonic computed tomography based on full-waveform inversion for bone quantitative imaging", Physics in Medicine and Biology, Vol.62, pp.7011-7035, 2017.
    A. Tarantola, "A strategy for nonlinear inversion of seismic reflection data", Geophysics, Vol.51, No.10, pp.1893-1903, 1986.
    C. Sheng-Chang and C. Guo-Xin, "Full waveform inversion of the second-order time integral wavefield", Chinese Journal of Geophysics, Vol.59, No.6, pp.676-690, 2016.
    S. C. Chen and G. X. Chen, "Time-damping full waveform inversion of multi-dominant-frequency wavefields", Chinese Journal of Geophysics, Vol.60, No.6, pp.678-688, 2017.
    Y. Li, Y. Choi, T. Alkhalifah, et al., "Full-waveform inversion using a nonlinearly smoothed wavefield", Geophysics, Vol.83, No.2, pp.R117-R127, 2018.
    Y. Liu, B. He, H. Lu, et al., "Full intensity waveform inversion", Geophysics, Vol.83, No.6, pp.R649-R658, 2018.
    Y. Wang, I. E. Stepanova, V. N. Titarenko, et al., Inverse Problems in Geophysics and Solution Methods, Higher Education Press, pp.23-62, 2011.
    D. Zhao, H. Q. Du and W. B. Mei, "Hybrid weighted l1-total variation constrained reconstruction for MR image", Chinese Journal of Electronics, Vol.23, No.4, pp.747-752, 2014.
    Q. S. Lian, T. J. Wei, S. Z. Chen, et al., "A phase retrieval algorithm based on total variation regularization", Acta Electronica Sinica, Vol.45, No.1, pp.54-60, 2017.
    S. J. Norton, "Iterative inverse scattering algorithms:Methods of computing Frechet derivatives", J. Acoust. Soc. Am., Vol.106, No.5, pp.2653-2660, 1999.
    R. E. Plessix, "A review of the adjoint-state method for computing the gradient of a functional with geophysical applications", Geophys. J. Int., Vol.167, No.2, pp.495-503, 2006.
    Z. Zhang, L. Huang and Y. Lin, "Efficient implementation of ultrasound waveform tomography using source encoding", in SPIE Medical Imaging, International Society for Optics and Photonics, Article, No.832003, 2012.
    E. Haber, M. Chung and F. Herrmann, "An effective method for parameter estimation with PDE constraints with multiple right hand sides", SIAM J. Optimiz., Vol.22, No.3, pp.739-757, 2012.
    R. J. Li, H. J. Chen, Y. H. Peng, et al., "Ultrasound computed tomography of knee joint", Chinese Journal of Electronics, Vol.29, No.4, pp.705-716, 2020.
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