Short-lag spatial coherence imaging using minimum variance beamforming on dual apertures

被引:0
|
作者
Qi, Yanxing [1 ]
Wang, Yuanyuan [1 ,2 ]
Yu, Jinhua [1 ,2 ]
Guo, Yi [1 ,2 ]
机构
[1] Fudan Univ, Dept Elect Engn, Shanghai, Peoples R China
[2] Key Lab Med Imaging Comp & Comp Assisted Interven, Shanghai, Peoples R China
来源
基金
中国国家自然科学基金;
关键词
Short-lag spatial coherence; Synthetic aperture; Minimum variance; Adaptive beamforming; Ultrasound imaging; ULTRASOUND; GPU; RESOLUTION;
D O I
10.1186/s12938-019-0671-0
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
BackgroundShort-lag spatial coherence (SLSC) imaging, a newly proposed ultrasound imaging scheme, can offer a higher lesion detectability than conventional B-mode imaging. It requires a high focusing quality which can be satisfied by the synthetic aperture imaging mode. However, traditional nonadaptive synthesis for the SLSC still offers an unsatisfactory resolution. The spatial coherence estimation on the receive aperture cannot fully utilize the coherence information in two-dimensional (2D) echo data.MethodsTo overcome these drawbacks, an improved SLSC scheme with adaptive synthesis on dual apertures is proposed in this paper. The minimum variance (MV) beamformer is applied in synthesizing both the receiving and transmitting apertures, while the SLSC function is estimated on both apertures as well. In this way, the resolution is enhanced by the MV implementation, while the coherence in dual apertures is fully utilized.ResultsSimulations, phantom experiments, and in vivo studies are conducted to evaluate the performance of the proposed method. Results demonstrate that the proposed method achieves the best performance in terms of the contrast ratio (CR), contrast-to-noise ratio (CNR), and the speckle signal-to-noise ratio (SNR). Specifically, compared with the delay-and-sum (DAS) method, the proposed method achieves 42.5% higher CR, 412.7% higher CNR, and 402.9% higher speckle SNR in simulations. The resolution is also better than the DAS and conventional SLSC beamformers.ConclusionsThe proposed method is a promising technique for improving the SLSC imaging quality and can provide better visualization for medical diagnosis.
引用
收藏
页数:18
相关论文
共 50 条
  • [41] Short-Lag Spatial Coherence Imaging in 1.5-D and 1.75-D Arrays: Elevation Performance and Array Design Considerations
    Morgan, Matthew R.
    Hyun, Dongwoon
    Trahey, Gregg E.
    IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL, 2019, 66 (06) : 1047 - 1056
  • [42] Comparative Resolution and Tracking Performance in B-mode and Short-Lag Spatial Coherence (SLSC) Images
    Bell, Muyinatu A. Lediju
    Dahl, Jeremy J.
    Trahey, Gregg E.
    2011 IEEE INTERNATIONAL ULTRASONICS SYMPOSIUM (IUS), 2011, : 1985 - 1988
  • [43] Plane-wave Compounding with Short-lag Coherence Factor Weighting
    Zheng Chichao
    Zhang Lunan
    Wang Hao
    Peng Hu
    JOURNAL OF ELECTRONICS & INFORMATION TECHNOLOGY, 2018, 40 (12) : 2919 - 2927
  • [44] Adaptive spatial smoothing-based minimum variance beamforming using signal coherence to improve image quality
    Pan, Jingwen
    Wang, Yuanguo
    Wang, Yadan
    Han, Zhihui
    Zheng, Chichao
    Peng, Hu
    2022 IEEE INTERNATIONAL ULTRASONICS SYMPOSIUM (IEEE IUS), 2022,
  • [45] Minimum Variance Beamforming Combined with Adaptive Coherence Weighting Applied to Medical Ultrasound Imaging
    Asl, Babak Mohammadzadeh
    Mahloojifar, Ali
    IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL, 2009, 56 (09) : 1923 - 1931
  • [46] Medical ultrasound imaging method combining minimum variance beamforming and general coherence factor
    WU Wentao PU Jie LU Yi (Institute of Acoustics
    ChineseJournalofAcoustics, 2012, 31 (02) : 133 - 143
  • [47] Improving the Detectability of Highly Coherent Targets in Short-Lag Spatial Coherence Images with Multi-Line Transmission
    Matrone, Giulia
    Bell, Muyinatu A. Lediju
    Ramalli, Alessandro
    PROCEEDINGS OF THE 2020 IEEE INTERNATIONAL ULTRASONICS SYMPOSIUM (IUS), 2020,
  • [48] Broadband Minimum Variance Beamforming for Ultrasound Imaging
    Holfort, Iben Kraglund
    Gran, Fredrik
    Jensen, Jorgen Arendt
    IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL, 2009, 56 (02) : 314 - 325
  • [49] Forward-backward Minimum Variance Beamforming Combined with Coherence Weighting Applied to Ultrasound Imaging
    ZHOU Ting
    LI Qiao-liang
    CHEN Xin
    WANG Tian-fu
    CHEN Si-ping
    Chinese Journal of Biomedical Engineering, 2016, 25 (01) : 24 - 30
  • [50] SNR-Dependent Coherence Weighting for Minimum Variance Beamforming
    Wang, Yu-Hsin
    Li, Pai-Chi
    2011 IEEE INTERNATIONAL ULTRASONICS SYMPOSIUM (IUS), 2011, : 2452 - 2455