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    • 7. 发明授权
    • Method for producing highly constrained ultrasound images
    • 用于生产高度约束的超声图像的方法
    • US08111810B2
    • 2012-02-07
    • US12270631
    • 2008-11-13
    • James A. ZagzebskiCharles A. Mistretta
    • James A. ZagzebskiCharles A. Mistretta
    • G06K9/00
    • G06T3/4076G01S7/52046G01S15/8995
    • A highly constrained image processing method is used to improve the quality, including spatial resolution and signal-to-noise ratio (SNR), of ultrasound image frames. Ultrasound image frames are accumulated to form a composite image that contains a priori information about the subject being imaged. This composite image is used in a HYPR processing method to improve the quality of the ultrasound image frame. For example, the SNR of the composite image is increased as a function of the number of ultrasound image frames used to produce it, and this increased SNR is passed on to each highly constrained image frame. Additionally, high spatial resolution ultrasound images are produced using an undersampled sampling density, and the quality of these images is restored to substantially the same level as a fully sampled image.
    • 使用高度受限的图像处理方法来提高超声图像帧的质量,包括空间分辨率和信噪比(SNR)。 累积超声图像帧以形成包含关于被成像对象的先验信息的合成图像。 该复合图像用于HYPR处理方法以提高超声图像帧的质量。 例如,根据用于产生它的超声图像帧的数量,合成图像的SNR增加,并且将增加的SNR传递到每个高度约束的图像帧。 此外,使用欠采样密度产生高空间分辨率超声图像,并且将这些图像的质量恢复到与完全采样图像基本相同的水平。
    • 8. 发明授权
    • Automated system and method for testing resolution of ultrasound scanners
    • 超声波扫描仪分辨率的自动化系统和方法
    • US5574212A
    • 1996-11-12
    • US490319
    • 1995-06-14
    • Ernest L. MadsenJames A. ZagzebskiGary R. FrankJason J. Rownd
    • Ernest L. MadsenJames A. ZagzebskiGary R. FrankJason J. Rownd
    • G01H3/00G01N29/06G01S7/52G01N29/00
    • G01S7/5205G01H3/005G01N29/06G01N2291/02475G01S7/52036G01S7/52046
    • In accordance with the present invention there is presented an automated system for testing the ability of clinical ultrasound scanners to detect focal lesions in human tissue. An ultrasound scanner phantom containing background material mimicking the ultrasonic characteristics of human tissue and coplanar spherical target lesions ultrasonically contrasting with the background material is scanned using the ultrasound scanner to be tested. Digitized images are made of the ultrasound scan of slices in the ultrasound phantom containing background material only and of slices on which the focal lesions are centered. A lesion signal to noise ratio (SNR).sub.L is then calculated at each defined pixel coordinate in the target lesion slice. This calculation employs (1) a pixel value average calculated over a sample area of the target image slice centered at a pixel location and which is of a size approximately that of the cross-sectional area of the target lesions, (2) an average pixel value calculated over an averaging area centered at the same pixel coordinate but containing mostly background image data, and (3) a standard deviation of averaged pixel values calculated in the background material image plane. The proximal and distal depth range limits of detectability of an ultrasound scanner, for a given lesion diameter and contrast, may then be determined based on the number of pixel locations in a depth range of the scanned plane having an absolute value SNR greater than a threshold value.
    • 根据本发明,提出了一种用于测试临床超声扫描仪检测人体组织中局灶性病变的能力的自动化系统。 使用超声扫描仪扫描包含背景材料的模拟人体组织的超声波特征的超声波扫描器体模和与背景材料超声波对比的共面球面目标病变。 数字化图像由仅含有超声模型的背景材料中的切片的超声波扫描和局部病变位于其上的切片构成。 然后在目标病变切片中的每个定义的像素坐标处计算病变信噪比(SNR)L。 该计算使用(1)以像素位置为中心的目标图像切片的样本区域计算的像素值平均值,其大小与目标病变的横截面面积的像素值平均值相等,(2)平均像素 通过以相同像素坐标为中心的平均区域计算的值,并且主要包含背景图像数据,以及(3)在背景材料图像平面中计算的平均像素值的标准偏差。 然后,可以基于在绝对值SNR大于阈值的扫描平面的深度范围内的像素位置的数量来确定针对给定病变直径和对比度的超声扫描仪的可检测性的近端和远端深度范围限度 值。
    • 9. 发明申请
    • METHOD FOR PRODUCING HIGHLY CONSTRAINED ULTRASOUND IMAGES
    • 用于生产高约束超声图像的方法
    • US20090129651A1
    • 2009-05-21
    • US12270631
    • 2008-11-13
    • James A. ZagzebskiCharles A. Mistretta
    • James A. ZagzebskiCharles A. Mistretta
    • G06K9/00
    • G06T3/4076G01S7/52046G01S15/8995
    • A highly constrained image processing method is used to improve the quality, including spatial resolution and signal-to-noise ratio (SNR), of ultrasound image frames. Ultrasound image frames are accumulated to form a composite image that contains a priori information about the subject being imaged. This composite image is used in a HYPR processing method to improve the quality of the ultrasound image frame. For example, the SNR of the composite image is increased as a function of the number of ultrasound image frames used to produce it, and this increased SNR is passed on to each highly constrained image frame. Additionally, high spatial resolution ultrasound images are produced using an undersampled sampling density, and the quality of these images is restored to substantially the same level as a fully sampled image.
    • 使用高度受限的图像处理方法来提高超声图像帧的质量,包括空间分辨率和信噪比(SNR)。 累积超声图像帧以形成包含关于被成像对象的先验信息的合成图像。 该复合图像用于HYPR处理方法以提高超声图像帧的质量。 例如,根据用于产生它的超声图像帧的数量,合成图像的SNR增加,并且将增加的SNR传递到每个高度约束的图像帧。 此外,使用欠采样密度产生高空间分辨率超声图像,并且将这些图像的质量恢复到与完全采样图像基本相同的水平。