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

IPC分类号： G06K9/00 ,  G06K9/32 ,  G06T7/00

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。

公开(公告)号：US07664302B2

公开(公告)日：2010-02-16

申请号：US11026558

申请日：2004-12-30

申请人： Peter R. Snoeren ,  Nico Karssemeijer

发明人： Peter R. Snoeren ,  Nico Karssemeijer

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。

公开(公告)号：US06580818B2

公开(公告)日：2003-06-17

申请号：US09974317

申请日：2001-10-09

申请人： Nico Karssemeijer ,  Guido M. te Brake

发明人： Nico Karssemeijer ,  Guido M. te Brake

IPC分类号： G06K900

CPC分类号： G06T7/0012 ,  G06K9/4604 ,  G06T7/64 ,  G06T2207/30068

摘要： A method and apparatus for the automated detection of masses in a digital mammogram, the method for use in a computer aided diagnosis system for assisting a radiologist in identifying and recognizing suspicious portions of the digital mammogram. A gradient image is created from the digital mammogram, and information in the gradient image is processed for identifying masses. In a preferred embodiment, a portion of a spiculation detection algorithm is applied to the gradient image for identifying masses. The spiculation detection algorithm comprises a line detection portion and a post-line detection portion, and it is the post-line detection portion which is applied to the gradient image for identifying masses. Advantageously, computer programs which have already been written for spiculation detection may, with minor modifications, be ported into mass detection programs.

公开(公告)号：US06301378B1

公开(公告)日：2001-10-09

申请号：US08868277

申请日：1997-06-03

申请人： Nico Karssemeijer ,  Guido M. te Brake

发明人： Nico Karssemeijer ,  Guido M. te Brake

IPC分类号： G06K900

CPC分类号： G06T7/0012 ,  G06K9/4604 ,  G06T7/64 ,  G06T2207/30068

摘要： A method and apparatus for the automated detection of masses in a digital mammogram, the method for use in a computer aided diagnosis system for assisting a radiologist in identifying and recognizing suspicious portions of the digital mammogram. A gradient image is created from the digital mammogram, and information in the gradient image is processed for identifying masses. In a preferred embodiment, a portion of a spiculation detection algorithm is applied to the gradient image for identifying masses. The spiculation detection algorithm comprises a line detection portion and a post-line detection portion, and it is the post-line detection portion which is applied to the gradient image for identifying masses. Advantageously, computer programs which have already been written for spiculation detection may, with minor modifications, be ported into mass detection programs.

摘要翻译： 一种用于自动检测数字乳腺X线照片中的质量的方法和装置，该方法用于计算机辅助诊断系统，用于协助放射科医师识别和识别数字乳腺X线照片的可疑部分。 从数字乳腺X线照片创建梯度图像，处理梯度图像中的信息以识别质量。 在一个优选实施例中，将一部分刺激检测算法应用于用于识别质量的梯度图像。 刺激检测算法包括线检测部分和后线检测部分，并且其是应用于用于识别质量的梯度图像的后线检测部分。 有利的是，已经用于刺激检测的计算机程序可以进行微小的修改，被移植到质量检测程序中。

公开(公告)号：US6035056A

公开(公告)日：2000-03-07

申请号：US825291

申请日：1997-03-27

申请人： Nico Karssemeijer

发明人： Nico Karssemeijer

IPC分类号： G06T1/00 ,  G06K9/46 ,  G06T5/00 ,  G06T7/60 ,  G06K9/00 ,  A61B6/04

CPC分类号： G06T7/0083 ,  G06K9/4633 ,  G06T7/0012 ,  G06T2207/10116 ,  G06T2207/20061 ,  G06T2207/30068 ,  G06T2207/30096

摘要： A method and apparatus for the automatic segmentation of the pectoral muscle boundary in a digital mammogram is disclosed. Parameters of the pectoral boundary line are determined by calculating gradient magnitudes of the digital mammogram in a region of interest, accumulating the gradient magnitudes into a parameter plane according to a Hough transform, and using information in the parameter plane for identifying the pectoral boundary. Prior to being accumulated in the parameter plane, the gradient magnitudes are weighted by a monotonic, multi-bit weighting function designed to exhibit larger variations near more densely populated levels of gradient magnitudes, and designed to exhibit smaller variations near less densely populated levels of gradient magnitudes, for allowing greater robustness against variations in gradient magnitudes among different digital mammograms.

摘要翻译： 公开了一种在数字乳腺X线照片中自动分割胸肌边界的方法和装置。 胸部边界线的参数通过计算感兴趣区域中的数字乳房X线照片的梯度大小，根据霍夫变换将梯度大小累积到参数平面中，并使用参数平面中用于识别胸部边界的信息来确定。 在参数平面中累积之前，通过设计用于在较密集人口密度的梯度大小附近显示较大变化的单调，多位加权函数对梯度大小进行加权，并设计为在较不密集的梯度水平附近呈现更小的变化 大小，用于允许对不同数字乳腺X线照片之间的梯度幅度变化的更大的鲁棒性。

公开(公告)号：US20120014578A1

公开(公告)日：2012-01-19

申请号：US12839371

申请日：2010-07-19

申请人： Nico Karssemeijer ,  Wei Zhang

发明人： Nico Karssemeijer ,  Wei Zhang

IPC分类号： G06K9/00

CPC分类号： G06T7/0012 ,  G06T2207/10132 ,  G06T2207/30068

摘要： Methods and related systems are described for detection of breast cancer in 3D ultrasound imaging data. Volumetric ultrasound images are obtained by an automated breast ultrasound scanning (ABUS) device. In ABUS images breast cancers appear as dark lesions. When viewed in transversal and sagittal planes, lesions and normal tissue appear similar as in traditional 2D ultrasound. However, architectural distortion and spiculation are frequently seen in the coronal views, and these are strong indicators of the presence of cancer. The described computerized detection (CAD) system combines a dark lesion detector operating in 3D with a detector for spiculation and architectural distortion operating on 2D coronal slices. In this way a sensitive detection method is obtained. Techniques are also described for correlating regions of interest in ultrasound images from different scans such in different scans of the same breast, scans of a patient's right versus left breast, and scans taken at different times. Techniques are also described for correlating regions of interest in ultrasound images and mammography images. Interactive user interfaces are also described for displaying CAD results and for displaying corresponding locations on different images.

摘要翻译： 描述了用于在3D超声成像数据中检测乳腺癌的方法和相关系统。 通过自动乳房超声扫描（ABUS）装置获得体积超声图像。 在ABUS图像中，乳腺癌显示为黑色病变。 当在横向和矢状面观察时，病变和正常组织看起来与传统的2D超声相似。 然而，建筑扭曲和痉挛常见于冠状面，这些是癌症存在的强有力指标。 所描述的计算机检测（CAD）系统将在3D操作的黑色病变检测器与用于在2D冠状切片上进行的刺激和架构失真的检测器相结合。 以这种方式获得灵敏的检测方法。 还描述了用于将来自不同扫描的超声图像中感兴趣的区域相关的技术，例如在同一乳房的不同扫描，患者的右对左乳房的扫描和在不同时间进行的扫描。 还描述了将超声图像和乳房X线照相图像中的感兴趣区域相关联的技术。 还描述了用于显示CAD结果和用于在不同图像上显示相应位置的交互式用户界面。

公开(公告)号：US20080125643A1

公开(公告)日：2008-05-29

申请号：US11604083

申请日：2006-11-24

申请人： Henkjan J. Huisman ,  Nico Karssemeijer

发明人： Henkjan J. Huisman ,  Nico Karssemeijer

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。

公开(公告)号：US06198838B1

公开(公告)日：2001-03-06

申请号：US09141289

申请日：1998-08-27

申请人： Jimmy R. Roehrig ,  Takeshi Doi ,  Nico Karssemeijer ,  Guido M. Te Brake

发明人： Jimmy R. Roehrig ,  Takeshi Doi ,  Nico Karssemeijer ,  Guido M. Te Brake

IPC分类号： G06K900

CPC分类号： G06K9/00 ,  A61B6/502 ,  G06K9/3233 ,  G06K9/4633 ,  G06K9/4638 ,  G06K9/56 ,  G06K2209/05 ,  G06T7/0012

摘要： A method and system for detecting suspicious portions of digital mammograms by using independently calculated mass and spiculation information is disclosed. The method is for use in a computer aided diagnosis system that is designed to bring suspicious or possibly cancerous lesions in fibrous breast tissue to the attention of a radiologist or other medical professional. In a preferred embodiment, spiculation information and mass information are independently calculated, with the computed spiculation information not being dependent on results of the mass information computation, thus leading to greater reliability. Systems according to a preferred embodiment also compute spiculation information either prior to, or concurrently with, the computation of mass information, thus allowing increased overall system speed.

摘要翻译： 公开了一种通过使用独立计算的质量和刺激信息来检测数字乳腺X线照片的可疑部分的方法和系统。 该方法用于计算机辅助诊断系统，该系统旨在将纤维性乳房组织中的可疑或可能的癌性病变引起放射科医师或其他医学专业人员的注意。 在优选实施例中，独立地计算刺激信息和质量信息，计算的刺激信息不依赖于质量信息计算的结果，因此导致更高的可靠性。 根据优选实施例的系统还可以在质量信息的计算之前或同时计算密码信息，从而允许增加的整体系统速度。