High-resolution wave-theory-based ultrasound reflection imaging using the split-step fourier and globally optimized fourier finite-difference methods
    1.
    发明授权
    High-resolution wave-theory-based ultrasound reflection imaging using the split-step fourier and globally optimized fourier finite-difference methods 有权
    基于高分辨率波理论的超声反射成像使用分步傅立叶和全局优化的傅立叶有限差分法

    公开(公告)号:US08568318B2

    公开(公告)日:2013-10-29

    申请号:US12033841

    申请日:2008-02-19

    申请人: Lianjie Huang

    发明人: Lianjie Huang

    IPC分类号: A61B8/00

    CPC分类号: A61B8/5207 A61B8/13 G01B17/00

    摘要: Methods for enhancing ultrasonic reflection imaging are taught utilizing a split-step Fourier propagator in which the reconstruction is based on recursive inward continuation of ultrasonic wavefields in the frequency-space and frequency-wave number domains. The inward continuation within each extrapolation interval consists of two steps. In the first step, a phase-shift term is applied to the data in the frequency-wave number domain for propagation in a reference medium. The second step consists of applying another phase-shift term to data in the frequency-space domain to approximately compensate for ultrasonic scattering effects of heterogeneities within the tissue being imaged (e.g., breast tissue). Results from various data input to the method indicate significant improvements are provided in both image quality and resolution.

    摘要翻译: 使用分步傅立叶传播器来教导用于增强超声波反射成像的方法,其中重建是基于在频率空间和频率波数域中的超声波场的递归向内延续。 每个外推时间间隔内的延续由两个步骤组成。 在第一步骤中,将相移项应用于频率波数域中的数据,以在参考介质中传播。 第二步包括将另一个相移项应用于频域 - 空间域中的数据,以近似地补偿正在成像的组织(例如,乳腺组织)中的异质性的超声散射效应。 从各种数据输入到该方法的结果表明在图像质量和分辨率方面都提供了显着的改进。

    HIGH-RESOLUTION WAVE-THEORY-BASED ULTRASOUND REFLECTION IMAGING USING THE SPLIT-STEP FOURIER AND GLOBALLY OPTIMIZED FOURIER FINITE-DIFFERENCE METHODS
    2.
    发明申请
    HIGH-RESOLUTION WAVE-THEORY-BASED ULTRASOUND REFLECTION IMAGING USING THE SPLIT-STEP FOURIER AND GLOBALLY OPTIMIZED FOURIER FINITE-DIFFERENCE METHODS 有权
    基于分辨率波浪理论的超声波反射成像使用分步法傅立叶变换和全局优化傅立叶变换有限差分法

    公开(公告)号:US20130251222A1

    公开(公告)日:2013-09-26

    申请号:US12033841

    申请日:2008-02-19

    申请人: Lianjie Huang

    发明人: Lianjie Huang

    IPC分类号: A61B8/08

    CPC分类号: A61B8/5207 A61B8/13 G01B17/00

    摘要: Methods for enhancing ultrasonic reflection imaging are taught utilizing a split-step Fourier propagator in which the reconstruction is based on recursive inward continuation of ultrasonic wavefields in the frequency-space and frequency-wave number domains. The inward continuation within each extrapolation interval consists of two steps. In the first step, a phase-shift term is applied to the data in the frequency-wave number domain for propagation in a reference medium. The second step consists of applying another phase-shift term to data in the frequency-space domain to approximately compensate for ultrasonic scattering effects of heterogeneities within the tissue being imaged (e.g., breast tissue). Results from various data input to the method indicate significant improvements are provided in both image quality and resolution.

    摘要翻译: 使用分步傅立叶传播器来教导用于增强超声波反射成像的方法,其中重建是基于在频率空间和频率波数域中的超声波场的递归向内延续。 每个外推时间间隔内的延续由两个步骤组成。 在第一步骤中,将相移项应用于频率波数域中的数据,以在参考介质中传播。 第二步包括将另一个相移项应用于频域 - 空间域中的数据,以近似地补偿正在成像的组织(例如,乳腺组织)中的异质性的超声散射效应。 从各种数据输入到该方法的结果表明在图像质量和分辨率方面都提供了显着的改进。

    AUTOMATIC TIME-OF-FLIGHT SELECTION FOR ULTRASOUND TOMOGRAPHY
    3.
    发明申请
    AUTOMATIC TIME-OF-FLIGHT SELECTION FOR ULTRASOUND TOMOGRAPHY 审中-公开
    超声波自动飞行时间选择

    公开(公告)号:US20080229832A1

    公开(公告)日:2008-09-25

    申请号:US12033789

    申请日:2008-02-19

    IPC分类号: G01N29/00 A61B8/13

    CPC分类号: A61B8/5207 A61B8/13 G01B17/00

    摘要: Ultrasound sound-speed tomography requires accurate picks of time-of-flights (TOFs) of transmitted ultrasound signals, however, manual picking on large datasets is time-consuming. An improved automatic TOF picker is taught based on the Akaike Information Criterion (AIC) and multi-model inference (model averaging), based on the calculated AIC values, to improve the accuracy of TOF picks. The automatic TOF picker of the present invention can accurately pick TOFs in the presence of random noise with average absolute amplitude of up to 80% of the maximum absolute synthetic signal amplitude. The inventive method is applied to clinical ultrasound breast data, and compared with manual picks and amplitude threshold picking. Test results indicate that the inventive TOF picker is much less sensitive to data signal-to-noise ratios (SNRs), and performs more consistently for different datasets in relation to manual picking. The technique provides noticeably improved image reconstruction accuracy.

    摘要翻译: 超声声速断层扫描需要精确选择发射超声信号的飞行时间(TOF),然而,在大数据集上的手动选取是耗时的。 基于计算的AIC值,基于Akaike信息准则(AIC)和多模型推理(模型平均)来教授改进的自动TOF选择器,以提高TOF拾取的准确性。 本发明的自动TOF选择器可以在平均绝对幅度高达最大绝对合成信号幅度的80%的随机噪声存在的情况下精确地选择TOF。 本发明方法应用于临床超声乳腺数据,并与手动选取和幅度阈值选择进行比较。 测试结果表明本发明的TOF选择器对数据信噪比(SNR)的敏感性要低得多,并且对于不同的数据集相对于手动拾取而言更为一致。 该技术提供了显着提高的图像重建精度。