METHOD AND SYSTEM FOR PERFORMING BASEBAND DIGITAL RECEIVER BEAMFORMING ON ULTRASOUND SIGNALS
    1.
    发明公开
    METHOD AND SYSTEM FOR PERFORMING BASEBAND DIGITAL RECEIVER BEAMFORMING ON ULTRASOUND SIGNALS 审中-公开
    用于在超声信号上执行基带数字接收机波束成形的方法和系统

    公开(公告)号:EP3187896A1

    公开(公告)日:2017-07-05

    申请号:EP15202989.8

    申请日:2015-12-29

    申请人: Esaote S.p.A.

    发明人: Bini, Giovanni

    IPC分类号: G01S7/52 G10K11/34

    摘要: Methods and systems are provided that perform baseband beamforming of ultrasound signals. The methods and systems obtain receive signals from transducers of an ultrasound probe and demodulate the receive signals to obtain complex receive signals having in-phase (I) and quadrature (Q) components. The methods and systems apply time delay and phase correction to the complex receive signals to form delayed complex receive signals before summing the delayed complex receive signals to produce a coherent receive signal. The phase correction includes applying coarse and fine corrections where the coarse correction is calculated as a multiple of a sampling time and the fine correction is calculated as a fraction of the sampling time. The methods and systems apply the coarse and fine corrections contemporaneously by multiplying the complex receive signal by a complex carrier delayed by a multiple of the sampling time and delayed by the fraction of the sampling time.

    摘要翻译: 提供了执行超声信号的基带波束成形的方法和系统。 该方法和系统从超声波探头的换能器获得接收信号并解调接收信号以获得具有同相(I)和正交(Q)分量的复数接收信号。 该方法和系统对复合接收信号应用时间延迟和相位校正以形成延迟的复合接收信号,然后对延迟的复合接收信号求和以产生相干接收信号。 相位校正包括应用粗修正和精修正,其中粗修正被计算为采样时间的倍数,并且精修正被计算为采样时间的一部分。 该方法和系统通过将复数接收信号乘以延迟采样时间的倍数并延迟采样时间的一部分的复数载波来同时应用粗修正和精修正。

    METHOD AND ULTRASOUND SYSTEM FOR SHEAR WAVE ELASTICITY IMAGING

    公开(公告)号:EP3569155A1

    公开(公告)日:2019-11-20

    申请号:EP18172549.0

    申请日:2018-05-16

    申请人: Esaote S.p.A.

    发明人: Bini, Giovanni

    IPC分类号: A61B8/08 G01S7/52 A61B8/00

    摘要: Method for shear wave elasticity imaging comprising the following steps:
    a) acquiring B-mode ultrasound images of a target region in a body under examination;
    b) selecting a region of interest inside the said B-mode image;
    c) transmitting a shear wave excitation pulse focalized on an excitation region;
    d) measuring the displacements of a certain number of tracking focal points or depth ranges at different depths positions along each one of a predefined number of laterally staggered tracking lines within the selected region of interest;
    e) determining a curve representing the displacement of the tissue as a function of time at different spatial locations within the region of interest;
    f) determining for each said spatial locations in the region of interest the time of arrival of the shear wave at the said spatial location by setting as the time of arrival of the shear wave as a function of the curve representing the displacement of the tissue as a function of time; g) finding the linear functional relation between the time of arrival and the spatial coordinate in the said lateral direction, i.e. in the direction of propagation of the shear wave perpendicular to the direction of the tracking lines, which linear function best approximates the determined time of arrivals at the positions of the tracking lines along the said lateral direction;
    h) determining the inverse of the velocity of the shear wave in a spatial location as the angular coefficient of the said linear function in a coordinate system representing the time of arrival along the y-coordinate and the position along the lateral direction at which the time of arrival has been recorded on the x-coordinate, i.e. the slope of the straight line representing the said linear function in the said coordinate system,
    and which method further comprises the following steps:
    i) step f) is carried out by considering as time of arrivals the time related to each local maxima of the displacement curve at the corresponding spatial location, and
    j) step g) is carried out by determining the linear function best fitting the said data pairs of local maxima of the displacement and related time of arrival applying a Random Sample Consensus algorithm (RANSAC algorithm).