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108 条记录 (耗时 0.024 秒)

    Method and system for diagnostics support
    1.
    发明授权
    Method and system for diagnostics support 有权
    用于诊断支持的方法和系统

    公开(公告)号：US08290227B2

    公开(公告)日：2012-10-16

    申请号：US12412438

    申请日：2009-03-27

    申请人： Shoupu Chen ,  Lawrence A. Ray

    发明人： Shoupu Chen ,  Lawrence A. Ray

    IPC分类号： G06K9/00

    CPC分类号： G06T7/0012 ,  G06F19/321 ,  G06T7/42 ,  G06T2200/24 ,  G06T2207/10072 ,  G06T2207/10116 ,  G06T2207/20061 ,  G06T2207/20081 ,  G06T2207/30068 ,  G16H50/20

    摘要： A method for displaying a diagnostic image acquires the diagnostic digital image and applies one or more pattern recognition algorithms to the acquired diagnostic digital image, detecting at least one feature within the acquired diagnostic digital image. At least a portion of the acquired diagnostic digital image displays with a marking at the location of the at least one detected feature. At least one detected feature displays under a first set of image display settings for a first interval, then under at least a second set of image display settings for a second interval.

    摘要翻译： 用于显示诊断图像的方法获取诊断数字图像，并且对所获取的诊断数字图像应用一个或多个模式识别算法，检测所获取的诊断数字图像中的至少一个特征。 所获取的诊断数字图像的至少一部分在所述至少一个检测到的特征的位置处以标记显示。 在第一间隔的第一组图像显示设置下显示至少一个检测到的特征，然后在至少第二组图像显示设置下显示第二间隔。

    Method and system for face detection in digital images
    4.
    发明授权
    Method and system for face detection in digital images 有权
    数字图像中面部检测的方法和系统

    公开(公告)号：US07508961B2

    公开(公告)日：2009-03-24

    申请号：US10387079

    申请日：2003-03-12

    申请人： Shoupu Chen ,  Henry Nicponski ,  Lawrence A. Ray

    发明人： Shoupu Chen ,  Henry Nicponski ,  Lawrence A. Ray

    IPC分类号： G06K9/00

    CPC分类号： G06K9/6292 ,  G06K9/00234 ,  G06K9/4614 ,  G06K9/6256

    摘要： A digital image processing method for detecting faces in a digital color image comprises the steps of: providing a distributed face detection system having complementary classifiers, wherein the classifiers are complementary in a frequency domain; selecting classifier parameters for the complementary classifiers from a plurality of different parameter generating sources, at least one of which is controllable by human input; reconfiguring the complementary classifiers in the distributed face detection system according to the selected classifier parameters; and detecting faces using the distributed face detection system.

    摘要翻译： 一种用于检测数字彩色图像中的面部的数字图像处理方法包括以下步骤：提供具有互补分类器的分布式面部检测系统，其中分类器在频域中互补; 从多个不同的参数生成源中选择用于互补分类器的分类器参数，其中至少一个可由人输入控制; 根据选择的分类器参数重新配置分布式面部检测系统中的互补分类器; 并使用分布式面部检测系统检测面部。

    Method for blond-hair-pixel removal in image skin-color detection
    5.
    发明授权
    Method for blond-hair-pixel removal in image skin-color detection 有权
    图像肤色检测中金发色素去除方法

    公开(公告)号：US06711286B1

    公开(公告)日：2004-03-23

    申请号：US09692929

    申请日：2000-10-20

    申请人： Shoupu Chen ,  Lawrence A. Ray

    发明人： Shoupu Chen ,  Lawrence A. Ray

    IPC分类号： G06K900

    CPC分类号： G06K9/4652 ,  G06K9/346 ,  G06K9/38 ,  G06T7/11 ,  G06T2207/30201

    摘要： A computer vision/image processing method of removing blond hair color pixels in digital image skin detection for a variety of imaging related applications, such as redeye defects detection, employs a combination of skin detectors operating in a generalized RGB space in combination with a hue space derived from the original image space to detect skin pixels and blond hair pixels within the skin pixels.

    摘要翻译： 用于各种成像相关应用（例如红眼缺陷检测）的数字图像皮肤检测中的金发彩色像素的计算机视觉/图像处理方法使用在广义RGB空间中操作的皮肤检测器的组合与色调空间 衍生自原始图像空间以检测皮肤像素内的皮肤像素和金发像素。

    Method and system for tooth segmentation in dental images
    6.
    发明授权
    Method and system for tooth segmentation in dental images 有权
    牙齿图像中牙齿分割的方法和系统

    公开(公告)号：US08761493B2

    公开(公告)日：2014-06-24

    申请号：US13187596

    申请日：2011-07-21

    申请人： Shoupu Chen ,  Lawrence A. Ray

    发明人： Shoupu Chen ,  Lawrence A. Ray

    IPC分类号： G06K9/00 ,  H04N3/00

    CPC分类号： G06T3/0031 ,  G06K2209/05 ,  G06T7/11 ,  G06T7/194 ,  G06T2200/04 ,  G06T2207/10081 ,  G06T2207/10088 ,  G06T2207/20096 ,  G06T2207/20101 ,  G06T2207/30036

    摘要： A method for segmenting a feature of interest from a volume image acquires image data elements from the image of a subject. At least one view of the acquired volume is displayed. One or more boundary points along a boundary of the feature of interest are identified according to one or more geometric primitives defined by a user with reference to the displayed view. A foreground seed curve defined according to the one or more identified boundary points and a background seed curve encompassing and spaced apart from the foreground seed curve are formed. Segmentation is applied to the volume image according to foreground values that are spatially bounded within the foreground seed curve and according to background values that lie outside the background seed curve. An image of the segmented feature of interest is displayed.

    摘要翻译： 从体积图像分割感兴趣特征的方法从被摄体的图像获取图像数据元素。 显示所获取的卷的至少一个视图。 根据由用户参考所显示的视图定义的一个或多个几何基元，来识别沿着感兴趣特征边界的一个或多个边界点。 形成根据一个或多个所识别的边界点定义的前景种子曲线和包含并与前景种子曲线间隔开的背景种子曲线。 根据前景种子曲线中空间有限的前景值，并根据位于背景种子曲线之外的背景值将分割应用于体积图像。 显示感兴趣的分段特征的图像。

    PANORAMIC IMAGE GENERATION FROM CBCT DENTAL IMAGES
    7.
    发明申请
    PANORAMIC IMAGE GENERATION FROM CBCT DENTAL IMAGES 有权
    CBCT牙科图像的全景图像生成

    公开(公告)号：US20130022252A1

    公开(公告)日：2013-01-24

    申请号：US13290196

    申请日：2011-11-07

    申请人： Shoupu Chen ,  Lawrence A. Ray ,  Jean-Marc Inglese

    发明人： Shoupu Chen ,  Lawrence A. Ray ,  Jean-Marc Inglese

    IPC分类号： G06K9/46

    CPC分类号： G06T3/0031 ,  G06K2209/05 ,  G06T3/4038

    摘要： A method for forming a panoramic image from a computed tomography image volume, acquires image data elements for one or more computed tomographic volume images of a subject, identifies a subset of the acquired computed tomographic images that contain one or more features of interest and defines, from the subset of the acquired computed tomographic images, a sub-volume having a curved shape that includes one or more of the contained features of interest. The curved shape is unfolded by defining a set of unfold lines wherein each unfold line extends at least between two curved surfaces of the curved shape sub-volume and re-aligning the image data elements within the curved shape sub-volume according to a re-alignment of the unfold lines. One or more views of the unfolded sub-volume are displayed.

    摘要翻译： 一种用于从计算机断层摄影图像体积形成全景图像的方法，获取对象的一个​​或多个计算机断层摄影体积图像的图像数据元素，识别包含一个或多个感兴趣特征的所获取的计算机断层图像的子集， 从所获取的计算机断层图像的子集中，具有包括感兴趣的所包含特征中的一个或多个的具有弯曲形状的子体积。 弯曲形状通过限定一组展开线而展开，其中每个展开线至少在弯曲形状子体积的两个弯曲表面之间延伸，并且根据重新排列在曲面形状子体积内重新对准图像数据元素， 展开线对齐。 显示展开的子卷的一个或多个视图。

    Method for detection of linear structures and microcalcifications in mammographic images
    8.
    发明授权
    Method for detection of linear structures and microcalcifications in mammographic images 有权
    乳腺摄影图像中线性结构和微钙化检测方法

    公开(公告)号：US08224051B2

    公开(公告)日：2012-07-17

    申请号：US12973035

    申请日：2010-12-20

    申请人： Shoupu Chen ,  Lawrence A. Ray

    发明人： Shoupu Chen ,  Lawrence A. Ray

    IPC分类号： G06K9/00 ,  A61B6/00

    CPC分类号： G06T7/0012 ,  G06K9/4633 ,  G06T2207/20104 ,  G06T2207/30068

    摘要： A method for detecting a linear structure in a digital mammographic image, using a processor or computer at least in part, locates at least one microcalcification candidate cluster in the image data and extracts a first region of interest that encloses the at least one microcalcification candidate cluster. The first region of interest is processed to identify feature points that correspond to geometric structures in the first region of interest. A linear detection algorithm is applied by a repeated process that selects a line model from a predefined set of line models and analyzes the line model to determine whether a linear structure is present in the first region of interest.

    摘要翻译： 一种用于使用处理器或计算机至少部分地检测数字乳腺X线照相图像中的线性结构的方法，将至少一个微钙化候选聚类定位在图像数据中，并提取包围至少一个微钙化候选簇的第一感兴趣区域 。 第一感兴趣区域被处理以识别对应于第一感兴趣区域中的几何结构的特征点。 通过重复的过程应用线性检测算法，该过程从预定义的一组线模型中选择线模型，并分析线模型以确定在第一感兴趣区域中是否存在线性结构。

    Automatic abnormal tissue detection in MRI images
    10.
    发明授权
    Automatic abnormal tissue detection in MRI images 失效
    MRI图像中自动异常组织检测

    公开(公告)号：US07317821B2

    公开(公告)日：2008-01-08

    申请号：US10994715

    申请日：2004-11-22

    申请人： Shoupu Chen ,  Zhimin Huo ,  Lawrence A. Ray

    发明人： Shoupu Chen ,  Zhimin Huo ,  Lawrence A. Ray

    IPC分类号： G06K9/00

    CPC分类号： G06T7/0012 ,  G06K9/00 ,  G06K2209/053 ,  G06T2207/30068

    摘要： A pattern recognition method for automatic abnormal tissue detection and differentiation using contrast enhanced MRI images. The method includes the steps of acquiring a plurality of MRI breast image sets; aligning the plurality of MRI breast images with respect to spatial coordinates; differencing the plurality of MRI breast image sets with a reference MRI image set, producing a plurality of difference image sets; segmenting the plurality of difference image sets, producing a plurality of MRI breast images with segmented intensity pixels; applying dynamic system identification to the segmented intensity pixels, producing a plurality of dynamic system parameters; and classifying the plurality of system parameters augmented with other physical or non-physical factors into different classes.

    摘要翻译： 使用对比增强MRI图像的自动异常组织检测和分化的模式识别方法。 该方法包括获取多个MRI乳房图像组的步骤; 相对于空间坐标对准多个MRI乳房图像; 使用参考MRI图像组来区分多个MRI乳房图像组，产生多个差分图像组; 分割多个差分图像组，产生具有分段强度像素的多个MRI乳房图像; 对分段强度像素应用动态系统识别，产生多个动态系统参数; 并将由其他物理或非物理因素增加的多个系统参数分类成不同类别。