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    • 2. 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
    • US5670719A
    • 1997-09-23
    • US696382
    • 1996-08-13
    • 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。
    • 3. 发明授权
    • Ultrasound phantom
    • 超声幻影
    • US4843866A
    • 1989-07-04
    • US156382
    • 1988-02-16
    • Ernest L. MadsenJames A. ZagzebskiGary R. Frank
    • Ernest L. MadsenJames A. ZagzebskiGary R. Frank
    • G01H3/00G01N29/30
    • G01N29/30G01H3/005
    • An ultrasound phantom for use with an ultrasound scanner. The ultrasound phantom includes a container having a bottom and walls, margins of the walls remote from the bottom defining a window, which is closed by an ultrasound-transmitting window cover. A phantom body is contained within the container and includes a matrix made of a matrix material exhibiting a matrix ultrasonic speed, specific gravity, attenuation coefficient, and backscatter coefficient. The phantom body further includes a multiplicity of scattering particles spaced sufficiently close to each other that the scanner is incapable of resolving individual scattering particles and testing spheres having a testing sphere ultrasonic speed, specific gravity, attenuation coefficient, and backscatter coefficient, at least one of which is different from the corresponding matrix ultrasonic speed, specific gravity, attenuation coefficient, and backscatter coefficient. The testing spheres are located within the phantom body in a random array.
    • 用于超声波扫描仪的超声波模型。 超声波体模包括具有底部和壁的容器,远离底部的壁的边缘限定窗口,该窗口由超声波传送窗口封闭。 体模包含在容器中,并且包括由表现出矩阵超声速度,比重,衰减系数和后向散射系数的基质材料制成的基体。 体模体还包括彼此足够靠近的多个散射颗粒,使得扫描仪不能分辨各个散射颗粒,并且测试具有测试球超声速度,比重,衰减系数和反向散射系数的球体,至少一个 这与相应的矩阵超声速度,比重,衰减系数和反向散射系数不同。 测试球体以随机阵列位于体模体内。
    • 4. 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。
    • 6. 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。
    • 10. 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。