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公开(公告)号：US07668358B2
公开(公告)日：2010-02-23
申请号：US10623191
申请日：2003-07-18
IPC分类号： G06K9/00
CPC分类号： G06T7/35 , G06T2207/30068
摘要： Numerical image processing based on a model of medical image acquisition of two or more medical images to provide grayscale registration is described. The grayscale registered temporal images may then be displayed for visual comparison and/or further processed by a computer-aided diagnosis system for detection of medical abnormalities therein. A parametric method includes spatially registering two images and performing gray scale registration of the images. A parametric transform model, e.g., analog to analog, digital to digital, analog to digital, or digital to analog model, is selected based on the image acquisition method(s) of the images, i.e., digital or analog/film. Gray scale registration involves generating a joint pixel value histogram from the two images, statistically fitting parameters of the transform model to the joint histogram, generating a lookup table, and using the lookup table to transform and register pixel values of one image to the pixel values of the other image.
摘要翻译： 描述了基于两个或更多个医学图像的医学图像采集模型的数字图像处理以提供灰度级配准。 然后可以显示灰度登记的时间图像，以进行视觉比较和/或由用于检测其中的医学异常的计算机辅助诊断系统进一步处理。 参数化方法包括空间注册两个图像并执行图像的灰度级配准。 基于图像的图像获取方法，即数字或模拟/电影，选择参数变换模型，例如模拟到模拟，数字到数字，模拟到数字或数字模拟模型。 灰度级配准涉及从两个图像生成关联像素值直方图，将变换模型的参数统计拟合到联合直方图，生成查找表，并使用查找表将一个图像的像素值变换和注册到像素值 的其他图像。
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公开(公告)号：US07664302B2
公开(公告)日：2010-02-16
申请号：US11026558
申请日：2004-12-30
IPC分类号： G06K9/00
CPC分类号： G06T7/35 , G06F19/00 , G06K9/32 , G06T2207/30068
摘要： Simultaneous grayscale and geometric registration of images, such as mammograms, facilitates temporal comparison and enhances the speed and reliability of computer aided diagnosis (CAD) detection of medical abnormalities. The method generally includes optimizing a merit function, e.g., sum of squared errors, containing parameters associated with a transformation function for simultaneous geometric and grayscale registering of the images, the optimizing of the merit function being performed by determining optimal values of the parameters using data in the images and registering one image to the other by applying the geometric and grayscale transformation function using the optimal values of the parameters. The optimizing may be performed iteratively from coarse to fine resolutions using a modified Levenberg-Marquardt method for optimizing nonlinear parameters with linear regression for optimizing linear parameters. A final iteration may be performed after removing pixel value pairs from the images that correspond to outliers of a joint pixel value histogram.
摘要翻译： 图像的同时灰度和几何配准，如乳房X线照片，有助于时间比较，提高计算机辅助诊断（CAD）检测医疗异常的速度和可靠性。 该方法通常包括优化优值函数，例如平方误差的和，其包含与用于同时几何和灰度级映射的图像的变换函数相关联的参数，通过使用数据确定参数的最佳值来优化所执行的优值函数的优化 在图像中并且通过使用参数的最佳值应用几何和灰度变换函数将一个图像注册到另一个图像。 可以使用改进的Levenberg-Marquardt方法从粗到细分辨率迭代地执行优化，以用于优化线性参数的线性回归来优化非线性参数。 从对应于联合像素值直方图的异常值的图像中去除像素值对之后，可以执行最后的迭代。
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公开(公告)号：US20050013471A1
公开(公告)日：2005-01-20
申请号：US10623191
申请日：2003-07-18
申请人： Peter Snoeren , Nico Karssemeijer
发明人： Peter Snoeren , Nico Karssemeijer
CPC分类号： G06T7/35 , G06T2207/30068
摘要： Numerical image processing of two or more medical images to provide grayscale registration thereof is described, the numerical image processing algorithms being based at least in part on a model of medical image acquisition. The grayscale registered temporal images may then be displayed for visual comparison by a clinician and/or further processed by a computer-aided diagnosis (CAD) system for detection of medical abnormalities therein. A parametric method includes spatially registering two images and performing gray scale registration of the images. A parametric transform model, e.g., analog to analog, digital to digital, analog to digital, or digital to analog model, is selected based on the image acquisition method(s) of the images, i.e., digital or analog/film. Gray scale registration involves generating a joint pixel value histogram from the two images, statistically fitting parameters of the transform model to the joint histogram, generating a lookup table, and using the lookup table to transform and register pixel values of one image to the pixel values of the other image. The models take into account the most relevant image acquisition parameters that influence pixel value differences between images, e.g., tissue compression, incident radiation intensity, exposure time, film and digitizer characteristic curves for analog image, and digital detector response for digital image. The method facilitates temporal comparisons of medical images such as mammograms and/or comparisons of analog with digital images.
摘要翻译： 描述了两个或更多个医学图像的数字图像处理以提供其灰度注册，数字图像处理算法至少部分地基于医学图像采集的模型。 然后可以显示灰度登记的时间图像，以供临床医生视觉比较和/或由计算机辅助诊断（CAD）系统进一步处理以检测其中的医疗异常。 参数化方法包括空间注册两个图像并执行图像的灰度级配准。 基于图像的图像获取方法，即数字或模拟/电影，选择参数变换模型，例如模拟到模拟，数字到数字，模拟到数字或数字模拟模型。 灰度级配准涉及从两个图像生成关联像素值直方图，将变换模型的参数统计拟合到联合直方图，生成查找表，并使用查找表将一个图像的像素值变换和注册到像素值 的其他图像。 这些模型考虑了影响图像之间像素值差异的最相关的图像采集参数，例如组织压缩，入射辐射强度，曝光时间，模拟图像的胶片和数字化仪特性曲线以及数字图像的数字检测器响应。 该方法有助于医学图像的时间比较，例如乳房X线照片和/或模拟与数字图像的比较。
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4.发明授权公开(公告)号：US09289183B2
公开(公告)日：2016-03-22
申请号：US13512164
申请日：2009-11-27
申请人： Nico Karssemeijer , Shih-Ping Wang
发明人： Nico Karssemeijer , Shih-Ping Wang
CPC分类号： A61B6/469 , A61B6/502 , G06F19/00 , G06F19/321 , G06T7/0014 , G06T2200/24 , G06T2207/20104 , G06T2207/30068
摘要： Methods and related systems provide an interactive user interface in which CAD results are displayed in such a way that they may be used for both interpretation of detected abnormalities and for avoiding perceptual oversights. The output of a (multi-view) computer aided detection system is presented to the reader of a screening case in two phases: (1) an interactive phase, and (2) a prompting phase. In the first phase the reader can probe image locations for CAD information. In the second phase regions identified as relevant by the CAD system and not yet probed by the reader are prompted or displayed to the user, as these may have been overlooked by the reader. The CAD results can be calibrated to a probability of malignancy.
摘要翻译： 方法和相关系统提供交互式用户界面，其中CAD结果以这样的方式显示，使得它们可以用于解释检测到的异常并且用于避免感知的疏忽。 （多视图）计算机辅助检测系统的输出向两个阶段的筛选案例的读者呈现：（1）交互式阶段，（2）提示阶段。 在第一阶段，读者可以探测CAD信息的图像位置。 在第二阶段，由CAD系统识别为尚未被读者探测的区域被提示或显示给用户，因为这些可能被读者忽视。 CAD结果可以校正为恶性肿瘤的概率。
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公开(公告)号：US09008382B2
公开(公告)日：2015-04-14
申请号：US13261165
申请日：2010-08-03
CPC分类号： G06T7/0012 , G06T7/44 , G06T2207/30068
摘要： Disclosed is a method of analyzing tissue from an image comprising providing an electronic image of tissue (100, 400, 450, 600, 800, 1100), determining a reference value from the image (1070, 1170, 1270), establishing an hint representation (500,700) of the image, and using the hint representation in analysis of the tissue to quantify the breast and compute a calibration error. Also disclosed is a system which runs an inner breast edge detection algorithm (1310) on the electronic image to detect the inner breast edge on the image (1315), and refined the inner breast edge location (1340) if a calibration error is not acceptable (1324). Also disclosed is automatic estimation of breast composition and temporal analysis of images.
摘要翻译： 公开了一种从图像中分析组织的方法，包括提供组织的电子图像（100,400,450,600,800,10000），从图像（1070,1170,1270）确定参考值，建立提示表示 （500,700）的图像，并且使用提示表示来分析组织以量化乳房并计算校准误差。 还公开了一种在电子图像上运行内部乳房边缘检测算法（1310）以检测图像（1315）上的内乳房边缘的系统，并且如果校准误差不可接受则改善了内乳房边缘位置（1340） （1324）。 还公开了对图像的乳房成分和时间分析的自动估计。
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公开(公告)号：US20120189175A1
公开(公告)日：2012-07-26
申请号：US13261165
申请日：2010-08-03
IPC分类号： G06K9/00
CPC分类号： G06T7/0012 , G06T7/44 , G06T2207/30068
摘要： Disclosed is a method of analysing tissue from an image comprising providing an electronic image of tissue (100, 400, 450, 600, 800, 1100), determining a reference value from the image (1070, 1170, 1270), establishing an hint representation (500,700) of the image, and using the hint representation in analysis of the tissue to quantify the breast and compute a calibration error. Also disclosed is a system which runs an inner breast edge detection algorithm (1310) on the electronic image to detect the inner breast edge on the image (1315), and refined the inner breast edge location (1340) if a calibration error is not acceptable (1324). Also disclosed is automatic estimation of breast composition and temporal analysis of images.
摘要翻译： 公开了一种从图像中分析组织的方法，包括提供组织的电子图像（100,400,450,600,800,10000），从图像（1070,1170,1270）确定参考值，建立提示表示 （500,700）的图像，并且使用提示表示来分析组织以量化乳房并计算校准误差。 还公开了一种在电子图像上运行内部乳房边缘检测算法（1310）以检测图像（1315）上的内乳房边缘的系统，并且如果校准误差不可接受则改善了内乳房边缘位置（1340） （1324）。 还公开了对图像的乳房成分和时间分析的自动估计。
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7.发明申请公开(公告)号：US20140039318A1
公开(公告)日：2014-02-06
申请号：US14044842
申请日：2013-10-02
IPC分类号： A61B8/08
CPC分类号： A61B8/0825 , A61B8/5238 , G06T7/0012 , G06T2207/10132 , G06T2207/30068
摘要： A method and system for processing and displaying breast ultrasound information is described. A 2D feature weighted volumetric coronal image as a “guide” or “road map” is generated from the 3D ultrasound data volume to represent the 3D dataset with the goal of emphasizing abnormalities within the breast while excluding non-breast structures, particularly those external to the breast such as ribs and chest wall.
摘要翻译： 描述了一种用于处理和显示乳房超声信息的方法和系统。 从3D超声数据体积中生成2D特征加权体积冠状图像作为“导向”或“路线图”，以表示3D数据集，目的是强调乳房内的异常，同时排除非乳房结构，特别是外部 乳房如肋骨和胸壁。
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8.发明授权Processing and displaying dynamic contrast-enhanced magnetic resonance imaging information 有权处理和显示动态对比度增强磁共振成像信息公开(公告)号：US08280488B2
公开(公告)日：2012-10-02
申请号：US11604083
申请日：2006-11-24
IPC分类号： A61B5/055
CPC分类号： A61B5/055 , A61B5/14546 , A61B5/7267 , G01R33/281 , G01R33/5601 , G01R33/5608 , G01R33/56308 , G01R33/56366
摘要： A method, system, and related computer program products for processing and displaying dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) information are described. A plurality of instances of an MRI volume of the body part acquired at a respective plurality of sample times subsequent to an administration of a tracer is processed to determine a plurality of pharmacokinetic (PK) parameters characterizing a mathematical model-based relationship between a plasma tracer concentration and a total tracer concentration within the body part. For one preferred embodiment, computation of the PK parameters is performed according to a generalized signal model such that computation can be carried out in real time during an interactive viewer session, with required reference regions being selectable and optionally re-selectable by the viewer without requiring extensive waiting times for PK parameter computation. Associated user interfaces and computer-aided detection (CAD) algorithms are also provided.
摘要翻译： 描述了用于处理和显示动态对比度增强磁共振成像（DCE-MRI）信息的方法，系统和相关的计算机程序产品。 处理在施用示踪剂之后在相应的多个采样时间获取的身体部位的MRI体积的多个实例，以确定表征血浆示踪剂之间基于数学模型的关系的多个药代动力学（PK）参数 浓度和总体示踪剂浓度在体内部分。 对于一个优选实施例，根据广义信号模型执行PK参数的计算，使得可以在交互式观看者会话期间实时地执行计算，其中所需的参考区域是可选择的并且可选地由观看者重新选择，而不需要 广泛的PK参数计算等待时间。 还提供了相关用户界面和计算机辅助检测（CAD）算法。
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公开(公告)号：US20110052025A1
公开(公告)日：2011-03-03
申请号：US12848942
申请日：2010-08-02
IPC分类号： G06K9/00
CPC分类号： G06T7/0016 , G06T2207/10116 , G06T2207/30068
摘要： The disclosure includes computer implemented methods and devices comprising processors for inputting images and medical history into an electronic medium and analyzing x-ray images of a subject's breasts to determine density. The disclosure further contemplates using these methods and devices to generate a numerical value. The disclosure further contemplates using the numerical value to determine whether the subject should have magnetic resonance imaging of the breasts.
摘要翻译： 本公开包括计算机实现的方法和装置，其包括用于将图像和病历输入到电子介质中的处理器，并且分析被检者乳房的X射线图像以确定密度。 本公开进一步考虑使用这些方法和装置来产生数值。 本公开进一步考虑使用数值来确定受试者是否应该具有乳房的磁共振成像。
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公开(公告)号：US20050163360A1
公开(公告)日：2005-07-28
申请号：US11026558
申请日：2004-12-30
申请人： Peter Snoeren , Nico Karssemeijer
发明人： Peter Snoeren , Nico Karssemeijer
CPC分类号： G06T7/35 , G06F19/00 , G06K9/32 , G06T2207/30068
摘要： Simultaneous grayscale and geometric registration of images, such as mammograms, facilitates temporal comparison and enhances the speed and reliability of computer aided diagnosis (CAD) detection of medical abnormalities. The method generally includes optimizing a merit function, e.g., sum of squared errors, containing parameters associated with a transformation function for simultaneous geometric and grayscale registering of the images, the optimizing of the merit function being performed by determining optimal values of the parameters using data in the images and registering one image to the other by applying the geometric and grayscale transformation function using the optimal values of the parameters. The optimizing may be performed iteratively from coarse to fine resolutions using a modified Levenberg-Marquardt method for optimizing nonlinear parameters with linear regression for optimizing linear parameters. A final iteration may be performed after removing pixel value pairs from the images that correspond to outliers of a joint pixel value histogram.
摘要翻译： 图像的同时灰度和几何配准，如乳房X线照片，有助于时间比较，提高计算机辅助诊断（CAD）检测医疗异常的速度和可靠性。 该方法通常包括优化优值函数，例如平方误差的和，其包含与用于同时几何和灰度级映射的图像的变换函数相关联的参数，通过使用数据确定参数的最佳值来优化所执行的优值函数的优化 在图像中并且通过使用参数的最佳值应用几何和灰度变换函数将一个图像注册到另一个图像。 可以使用改进的Levenberg-Marquardt方法从粗到细分辨率迭代地执行优化，以用于优化线性参数的线性回归来优化非线性参数。 从对应于联合像素值直方图的异常值的图像中去除像素值对之后，可以执行最后的迭代。
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