利索-全球专利检索

  1. 登录
  2. 注册

搜索结果

15 条记录 (耗时 0.02 秒)

    Methods of and system for detection and tracking of osteoporosis
    1.
    发明授权
    Methods of and system for detection and tracking of osteoporosis 有权
    检测和跟踪骨质疏松症的方法和系统

    公开(公告)号：US08126249B2

    公开(公告)日：2012-02-28

    申请号：US12369324

    申请日：2009-02-11

    申请人： Alan Brett ,  Jane Haslam ,  Curtis Hayes ,  Joel Krasnow ,  Cornelis Van Kuijk ,  Colin Miller

    发明人： Alan Brett ,  Jane Haslam ,  Curtis Hayes ,  Joel Krasnow ,  Cornelis Van Kuijk ,  Colin Miller

    IPC分类号： G06K9/00 ,  G06G7/48

    CPC分类号： G06T7/0012 ,  G06K9/0014 ,  G06K9/6206 ,  G06K9/6207 ,  G06K9/6209 ,  G06K9/6263 ,  G06K2209/05 ,  G06T2207/10116 ,  G06T2207/20124 ,  G06T2207/30012

    摘要： A method and system for detection and tracking of osteoporosis is disclosed. A method of characterizing an image of a target vertebra includes building a computer model from a set of sample images of pathological and non-pathological variations of vertebrae representing variations in shape of the vertebrae. The method also includes receiving an image of a target vertebra of a subject and automatically estimating contours of lateral outlines of the superior and the inferior cortical endplates of the image. The parameters of the model are varied to determine a set that represents a model shape that approximates the estimated contours of the outlines of the cortical endplates. The method includes automatically characterizing the target vertebra based on the set of model parameters that are determined and outputting on a display device the characterization of the target vertebra.

    摘要翻译： 公开了用于骨质疏松症检测和跟踪的方法和系统。 表征目标椎骨的图像的方法包括从表示椎骨形状变化的椎骨的病理和非病理变化的一组样本图像建立计算机模型。 该方法还包括接收对象的目标椎骨的图像并自动估计图像的上皮质和下皮质终板的侧向轮廓轮廓。 改变模型的参数以确定表示近似于皮质终板的轮廓的估计轮廓的模型形状的集合。 该方法包括基于所确定的模型参数的集合自动表征目标椎骨，并在显示装置上输出目标椎骨的特征。

    Methods of and System for Detection and Tracking of Osteoporosis
    2.
    发明申请
    Methods of and System for Detection and Tracking of Osteoporosis 有权
    骨质疏松症检测和跟踪方法与系统

    公开(公告)号：US20090297012A1

    公开(公告)日：2009-12-03

    申请号：US12369324

    申请日：2009-02-11

    申请人： Alan Brett ,  Jane Haslam ,  Curtis Hayes ,  Joel Krasnow ,  Cornelis Van Kuijk ,  Colin Miller

    发明人： Alan Brett ,  Jane Haslam ,  Curtis Hayes ,  Joel Krasnow ,  Cornelis Van Kuijk ,  Colin Miller

    IPC分类号： G06K9/00 ,  G06G7/48

    CPC分类号： G06T7/0012 ,  G06K9/0014 ,  G06K9/6206 ,  G06K9/6207 ,  G06K9/6209 ,  G06K9/6263 ,  G06K2209/05 ,  G06T2207/10116 ,  G06T2207/20124 ,  G06T2207/30012

    摘要： A method and system for detection and tracking of osteoporosis is disclosed. A method of characterizing an image of a target vertebra includes building a computer model from a set of sample images of pathological and non-pathological variations of vertebrae representing variations in shape of the vertebrae. The method also includes receiving an image of a target vertebra of a subject and automatically estimating contours of lateral outlines of the superior and the inferior cortical endplates of the image. The parameters of the model are varied to determine a set that represents a model shape that approximates the estimated contours of the outlines of the cortical endplates. The method includes automatically characterizing the target vertebra based on the set of model parameters that are determined and outputting on a display device the characterization of the target vertebra.

    摘要翻译： 公开了用于骨质疏松症检测和跟踪的方法和系统。 表征目标椎骨的图像的方法包括从表示椎骨形状变化的椎骨的病理和非病理变化的一组样本图像建立计算机模型。 该方法还包括接收对象的目标椎骨的图像并自动估计图像的上皮质和下皮质终板的侧向轮廓轮廓。 改变模型的参数以确定表示近似于皮质终板的轮廓的估计轮廓的模型形状的集合。 该方法包括基于所确定的模型参数的集合自动表征目标椎骨，并在显示装置上输出目标椎骨的特征。

    Image processing apparatus
    3.
    发明授权
    Image processing apparatus 失效
    图像处理装置

    公开(公告)号：US07508977B2

    公开(公告)日：2009-03-24

    申请号：US10793850

    申请日：2004-03-08

    申请人： Alexander Ralph Lyons ,  Simon Michael Rowe ,  Richard Ian Taylor ,  Jane Haslam

    发明人： Alexander Ralph Lyons ,  Simon Michael Rowe ,  Richard Ian Taylor ,  Jane Haslam

    IPC分类号： G06K9/00

    CPC分类号： G06K9/32 ,  G06F3/04845 ,  G06T7/55 ,  G06T7/73 ,  G06T17/10 ,  G06T2200/08 ,  G06T2207/30244

    摘要： A method of generating model data representative of a model in a three-dimensional space of an object from input signals representative of a set of images of the object taken from a plurality of respective camera positions includes the steps of displaying a model image derived from the model data and having a plurality of primitives for viewing by a user, receiving at least one primitive selection signal responsive to user actuation of an input whereby each primitive selection signal identifies a respective selected primitive of the model, and defining a plurality of virtual cameras in the three dimensional space having positions and look directions relative to the model which correspond substantially to those of the respective actual cameras relative to the object. Additional steps include evaluating which of the virtual cameras is an optimum virtual camera for generating a view of the selected primitives, identifying from the camera images a first camera image of the plurality of camera images taken from a camera position corresponding to that of the optimum virtual camera, and determining from the camera images a second camera image as being suitable for matching features in the first camera image and displaying the second camera image for comparison by the user with the first camera image.

    摘要翻译： 从代表从多个摄像机位置拍摄的对象的图像的输入信号生成代表对象的三维空间中的模型的模型数据的方法包括以下步骤：显示从 模型数据并且具有用于用户观看的多个图元，响应于用户对输入的动作接收至少一个基本选择信号，由此每个基元选择信号识别模型的相应选择的基元，并且定义多个虚拟相机 所述三维空间具有相对于所述模型的位置和外观方向，所述位置和外观方向基本上对应于相对于所述物体的相应实际照相机的位置和外观方向。 附加步骤包括评估哪些虚拟相机是用于生成所选择的图元的视图的最佳虚拟相机，从相机图像识别从相对于最佳虚拟图像的相机位置拍摄的多个相机图像的第一相机图像 相机，并且从相机图像确定第二相机图像适合于匹配第一相机图像中的特征并且显示第二相机图像以供用户与第一相机图像进行比较。

    COMPUTER PROGRAM PRODUCTS AND METHODS FOR DETECTION AND TRACKING OF RHEUMATOID ARTHRITIS
    4.
    发明申请
    COMPUTER PROGRAM PRODUCTS AND METHODS FOR DETECTION AND TRACKING OF RHEUMATOID ARTHRITIS 有权
    计算机程序产品及用于检测和跟踪病毒性脑膜炎的方法

    公开(公告)号：US20080175464A1

    公开(公告)日：2008-07-24

    申请号：US12015306

    申请日：2008-01-16

    申请人： Alan BRETT ,  Jane HASLAM ,  Anthony HOLMES

    发明人： Alan BRETT ,  Jane HASLAM ,  Anthony HOLMES

    IPC分类号： G06K9/00

    CPC分类号： G06T7/0012 ,  G06T2207/30008

    摘要： Methods for producing an image indicative of arthritic symptomatology are provided. The methods during a model building phase create a constrained deformable statistical template. The methods then during a runtime phase fit a plurality of loci in a digitized target radiograph of the specified joint; parameterize positions of the plurality of loci fitted in the digitized target radiograph to generate an instance of the statistical template by deriving values for parameters of the digitized target radiograph from the statistical template; search the digitized target radiograph by applying the statistical template to the digitized target radiograph until an optimal fit of the statistical template to at least one region of the digitized target radiograph is found; and produce a comparison image by comparing the at least one region of the digitized target radiograph with the optimal fit of the statistical template.

    摘要翻译： 提供了表示关节炎症状的图像的制造方法。 模型构建阶段中的方法创建了一个约束的可变形统计模板。 然后在运行阶段期间的方法将多个轨迹拟合在指定关节的数字化目标射线照片中; 通过从统计模板中导出数字化的目标射线照相的参数的值来参数化数字化的目标射线照片中安装的多个位点的位置以产生统计模板的实例; 通过将统计模板应用于数字化目标射线照片来搜索数字化目标射线照片，直到找到统计模板对数字化目标射线照片的至少一个区域的最佳拟合; 并通过将数字化目标射线照片的至少一个区域与统计模板的最佳拟合进行比较来产生比较图像。

    Image processing apparatus
    5.
    发明授权
    Image processing apparatus 失效
    图像处理装置

    公开(公告)号：US06647146B1

    公开(公告)日：2003-11-11

    申请号：US09129080

    申请日：1998-08-05

    申请人： Allan Joseph Davison ,  Jane Haslam ,  Alexander Ralph Lyons ,  Simon Michael Rowe ,  Richard Ian Taylor

    发明人： Allan Joseph Davison ,  Jane Haslam ,  Alexander Ralph Lyons ,  Simon Michael Rowe ,  Richard Ian Taylor

    IPC分类号： G06K948

    CPC分类号： G06T7/564 ,  G01B11/24

    摘要： In an apparatus and method for creating a three-dimensional model of an object, images of the object taken from different, unknown positions are processed to identify the points in the images which correspond to the same point on the actual object (that is “matching” points), the matching points are used to determine the relative positions from which the images were taken, and the matching points and calculated positions are used to calculate points in a three-dimensional space representing points on the object. A number of different techniques are used to identify the matching points, and a number of solutions are calculated and tested for the relative positions. Edges in an image are identified by first identifying corner points in the image and then identifying edges between the corner points on the basis of edge orientation values of pixels, the edges are processed in strength order to remove cross-overs, the images sub-divided into regions by connecting points at the ends of the edges on the basis of the edge strengths, and matching points within corresponding regions in two or more images are identified.

    摘要翻译： 在用于创建对象的三维模型的装置和方法中，处理从不同的未知位置拍摄的对象的图像以识别图像中对应于实际对象上的相同点的点（即，“匹配 “点），使用匹配点来确定拍摄图像的相对位置，并且使用匹配点和计算的位置来计算表示对象上的点的三维空间中的点。 使用许多不同的技术来识别匹配点，并且针对相对位置计算和测试多个解决方案。 通过首先识别图像中的角点并且基于像素的边缘取向值来识别角点之间的边缘来识别图像中的边缘，边缘被强制处理以去除交叉，图像被分割 通过基于边缘强度在边缘的端部处连接点来区分，并且识别两个或更多个图像中的对应区域内的匹配点。

    Computer program products and methods for detection and tracking of rheumatoid arthritis
    6.
    发明授权
    Computer program products and methods for detection and tracking of rheumatoid arthritis 有权
    用于检测和跟踪类风湿性关节炎的计算机程序产品和方法

    公开(公告)号：US08126242B2

    公开(公告)日：2012-02-28

    申请号：US12015306

    申请日：2008-01-16

    申请人： Alan Brett ,  Jane Haslam ,  Anthony Holmes

    发明人： Alan Brett ,  Jane Haslam ,  Anthony Holmes

    IPC分类号： G06K9/00

    CPC分类号： G06T7/0012 ,  G06T2207/30008

    摘要： Methods for producing an image indicative of arthritic symptomatology are provided. The methods during a model building phase create a constrained deformable statistical template. The methods then during a runtime phase fit a plurality of loci in a digitized target radiograph of the specified joint; parameterize positions of the plurality of loci fitted in the digitized target radiograph to generate an instance of the statistical template by deriving values for parameters of the digitized target radiograph from the statistical template; search the digitized target radiograph by applying the statistical template to the digitized target radiograph until an optimal fit of the statistical template to at least one region of the digitized target radiograph is found; and produce a comparison image by comparing the at least one region of the digitized target radiograph with the optimal fit of the statistical template.

    摘要翻译： 提供了表示关节炎症状的图像的制造方法。 模型构建阶段中的方法创建了一个约束的可变形统计模板。 然后在运行阶段期间的方法将多个轨迹拟合在指定关节的数字化目标射线照片中; 通过从统计模板中导出数字化的目标射线照相的参数的值来参数化数字化的目标射线照片中安装的多个位点的位置以产生统计模板的实例; 通过将统计模板应用于数字化目标射线照片来搜索数字化目标射线照片，直到找到统计模板对数字化目标射线照片的至少一个区域的最佳拟合; 并通过将数字化目标射线照片的至少一个区域与统计模板的最佳拟合进行比较来产生比较图像。

    Method and system for cleaning motion capture data
    10.
    发明授权
    Method and system for cleaning motion capture data 有权
    清除运动捕捉数据的方法和系统

    公开(公告)号：US07324110B2

    公开(公告)日：2008-01-29

    申请号：US11292423

    申请日：2005-12-02

    申请人： Gareth Edwards ,  Kevin Walker ,  Jane Haslam

    发明人： Gareth Edwards ,  Kevin Walker ,  Jane Haslam

    IPC分类号： G06T15/00

    CPC分类号： G06K9/00281 ,  G06T7/20 ,  G06T13/40 ,  G06T17/20

    摘要： A system and method for cleaning a set of motion capture data, wherein the data correspond to a set of point coordinates relating to a model but may include missing or inaccurate values. A subset of the motion capture data is identified that corresponds to valid points matching locations of corresponding points of the model, and a best set of model parameters is computed in such a manner as to minimize a norm of the valid points with respect to the model. A complete set of point coordinates is then predicted based on the best set of model parameters and a subsequent set of cleaned motion capture data. Actual points are inserted where validated, and the process is iterated until a specified criterion is met.

    摘要翻译： 一种用于清洁一组运动捕捉数据的系统和方法，其中所述数据对应于与模型有关的一组点坐标，但是可能包括丢失或不准确的值。 运动捕捉数据的子集被识别为对应于与模型的对应点的位置匹配的有效点，并且以使得相对于模型的有效点的范数最小化的方式来计算最佳模型参数集合 。 然后基于最佳的模型参数集和随后的一组清洁的运动捕获数据来预测完整的点坐标。 实际点被插入到验证的位置，并且迭代过程直到满足指定的标准。