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203 条记录 (耗时 0.026 秒)

    System and method for learning relative distance in a shape space using image based features
    12.
    发明授权
    System and method for learning relative distance in a shape space using image based features 有权
    使用基于图像的特征来学习形状空间中的相对距离的系统和方法

    公开(公告)号：US07603000B2

    公开(公告)日：2009-10-13

    申请号：US11464851

    申请日：2006-08-16

    申请人： Yefeng Zheng ,  Xiang Zhou ,  Shaohua Kevin Zhou ,  Bogdan Georgescu ,  Dorin Comaniciu

    发明人： Yefeng Zheng ,  Xiang Zhou ,  Shaohua Kevin Zhou ,  Bogdan Georgescu ,  Dorin Comaniciu

    IPC分类号： G06K9/60

    CPC分类号： G06K9/6255 ,  G06K9/6206 ,  G06K9/6256

    摘要： A system and method for identifying a shape of an anatomical structure in an input image is disclosed. An input image is received and warped using a set of warping templates resulting in a set of warped images. An integral image is calculated for each warped image. Selected features are extracted based on the integral image. A boosted feature score is calculated for the combined selected features for each warped image. The warped images are ranked based on the boosted feature scores. A predetermined number of warped images are selected that have the largest feature scores. Each selected warped image is associated with its corresponding warping template. The corresponding warping templates are associated with stored shape models. The shape of the input image is identified based on the weighted average of the shapes models.

    摘要翻译： 公开了一种用于识别输入图像中的解剖结构的形状的系统和方法。 使用一组翘曲模板接收和扭曲输入图像，产生一组翘曲图像。 为每个弯曲图像计算整体图像。 基于积分图像提取所选特征。 对于每个弯曲图像的组合选定特征，计算提升的特征分数。 翘曲的图像根据提升的特征得分进行排名。 选择具有最大特征分数的预定数量的翘曲图像。 每个选择的变形图像与其相应的翘曲模板相关联。 相应的变形模板与存储的形状模型相关联。 基于形状模型的加权平均值来识别输入图像的形状。

    Medical diagnostic ultrasound signal extraction
    13.
    发明申请
    Medical diagnostic ultrasound signal extraction 审中-公开
    医学诊断超声信号提取

    公开(公告)号：US20060074312A1

    公开(公告)日：2006-04-06

    申请号：US11186717

    申请日：2005-07-21

    申请人： Bogdan Georgescu ,  Xiang Zhou ,  Dorin Comaniciu ,  Sriram Krishnan

    发明人： Bogdan Georgescu ,  Xiang Zhou ,  Dorin Comaniciu ,  Sriram Krishnan

    IPC分类号： A61B8/00

    CPC分类号： G06T7/215 ,  G06T7/12 ,  G06T2207/10132 ,  G06T2207/20068 ,  G06T2207/30004

    摘要： Ultrasound signal information is detected from a sequence of images. A robust automated delineation of the border of the fan or ultrasound signal information in echocardiographic or other ultrasound image sequence is provided. The processor implemented delineation uses a single image or a sequence of images to better identify ultrasound signal data. Variation through a sequence generally identifies the signal area. Projecting the filtered variation information to two likely directions identifies approximate edge locations along the sides of the border. Robust regression fits lines to the edges to find accurate border locations. The bottom of the border is identified with a histogram of the variation information as a function of radius from an intersection of the fit lines.

    摘要翻译： 从图像序列检测超声信号信息。 提供了在超声心动图或其他超声图像序列中对风扇或超声信号信息边界的鲁棒自动描绘。 实施描述的处理器使用单个图像或一系列图像来更好地识别超声信号数据。 通过序列的变化通常识别信号区域。 将过滤的变化信息投影到两个可能的方向，标识沿着边界两侧的近似边缘位置。 强大的回归符合边缘线以找到准确的边界位置。 边界的底部用变化信息的直方图识别为与拟合线交点相关的半径的函数。

    Method of database-guided segmentation of anatomical structures having complex appearances
    15.
    发明申请
    Method of database-guided segmentation of anatomical structures having complex appearances 有权
    具有复杂外观的解剖结构的数据库引导分割方法

    公开(公告)号：US20060171586A1

    公开(公告)日：2006-08-03

    申请号：US11265772

    申请日：2005-11-02

    申请人： Bogdan Georgescu ,  Xiang Zhou ,  Dorin Comaniciu ,  R. Rao ,  Alok Gupta

    发明人： Bogdan Georgescu ,  Xiang Zhou ,  Dorin Comaniciu ,  R. Rao ,  Alok Gupta

    IPC分类号： G06K9/34 ,  G06K9/00

    CPC分类号： G06K9/6255 ,  G06T7/11 ,  G06T2207/10132 ,  G06T2207/20081 ,  G06T2207/30048 ,  Y10S128/922 ,  Y10S128/923

    摘要： A method for segmenting an anatomical structure of interest within an image is disclosed. The anatomical structure of interest is compared to a database of images of like anatomical structures. Those database images of like anatomical structures that are similar to the anatomical structure of interest are identified. The identified database images are used to detect the anatomical structure of interest in the image. The identified database images are also used to determine the shape of the anatomical structure of interest. The anatomical structure of interest is segmented from the image.

    摘要翻译： 公开了一种用于分割图像内感兴趣的解剖结构的方法。 感兴趣的解剖结构与类似解剖结构的图像的数据库进行比较。 识别与感兴趣的解剖结构相似的类似解剖结构的数据库图像。 识别的数据库图像用于检测图像中感兴趣的解剖结构。 所识别的数据库图像也用于确定感兴趣的解剖结构的形状。 感兴趣的解剖结构从图像中分割。

    System and method for local deformable motion analysis
    18.
    发明申请
    System and method for local deformable motion analysis 有权
    局部可变形运动分析的系统和方法

    公开(公告)号：US20050074154A1

    公开(公告)日：2005-04-07

    申请号：US10957380

    申请日：2004-10-01

    申请人： Bogdan Georgescu ,  Xiang Zhou ,  Dorin Comaniciu ,  Sriram Krishnan

    发明人： Bogdan Georgescu ,  Xiang Zhou ,  Dorin Comaniciu ,  Sriram Krishnan

    IPC分类号： G06K9/00 ,  G06T7/20

    CPC分类号： G06T7/20 ,  G06T7/0016 ,  G06T7/251 ,  G06T2207/10132 ,  G06T2207/30048

    摘要： A system and method for local deformable motion analysis and for accurately tracking motion of an object isolating local motion of an object from global motion of an object is disclosed. The object is viewed in an image sequence and image regions are sampled to identify object image regions and background image regions. The motion of at least one of the identified background image regions is estimated to identify those background image regions affected by global motion. Motion from multiple background image regions are combined to measure the global motion in that image frame. The measured global motion in the object image regions are compensated to measure local motion of the object and the local motion of the object is tracked. A system and method for accurately measuring the local deformable motion of an object as the relative motion between two control point sets is disclosed. The point sets are defined as the inner contour and the outer contour of an object. The motion of the control point sets is estimated and the relative motion is used to characterize the local deformation and local motion of the object.

    摘要翻译： 公开了一种用于局部可变形运动分析和用于精确跟踪物体的局部运动与对象的全局运动隔离的物体的运动的系统和方法。 以图像序列查看对象，并对图像区域进行采样以识别对象图像区域和背景图像区域。 估计所识别的背景图像区域中的至少一个的运动以识别受全局运动影响的那些背景图像区域。 来自多个背景图像区域的运动被组合以测量该图像帧中的全局运动。 在对象图像区域中测量的全局运动被补偿以测量对象的局部运动，并跟踪对象的局部运动。 公开了一种用于精确测量物体的局部可变形运动作为两个控制点组之间的相对运动的系统和方法。 点集被定义为对象的内轮廓和外轮廓。 估计控制点集的运动，并使用相对运动来表征对象的局部变形和局部运动。

    System and method for performing probabilistic classification and decision support using multidimensional medical image databases
    19.
    发明授权
    System and method for performing probabilistic classification and decision support using multidimensional medical image databases 有权
    使用多维医学图像数据库执行概率分类和决策支持的系统和方法

    公开(公告)号：US08060178B2

    公开(公告)日：2011-11-15

    申请号：US12243199

    申请日：2008-10-01

    申请人： Xiang Zhou ,  Dorin Comaniciu ,  Alok Gupta ,  Visvanathan Ramesh ,  Bhavani Duggirala ,  Diane Paine

    发明人： Xiang Zhou ,  Dorin Comaniciu ,  Alok Gupta ,  Visvanathan Ramesh ,  Bhavani Duggirala ,  Diane Paine

    IPC分类号： A61B5/00

    CPC分类号： G06K9/6276 ,  A61B8/0883 ,  G06F19/00 ,  G06K9/6256 ,  G06K2209/05 ,  G06Q50/22 ,  G16H50/20 ,  Y10S128/92 ,  Y10S128/924

    摘要： A system and method for providing decision support to a physician during a medical examination is disclosed. Data is received from a sensor representing a particular medical measurement. The received data includes image data. The received data and context data is analyzed with respect to one or more sets of training models. Probability values for the particular medical measurement and other measurements to be taken are derived based on the analysis and based on identified classes. The received image data is compared with training images. Distance values are determined between the received image data and the training images, and the training images are associated with the identified classes. Absolute value feature sensitivity scores are derived for the particular medical measurement and other measurements to be taken based on the analysis. The probability values, distance values and absolute value feature sensitivity scores are outputted to the user.

    摘要翻译： 公开了一种用于在医学检查期间向医师提供决策支持的系统和方法。 从代表特定医疗测量的传感器接收数据。 所接收的数据包括图像数据。 相对于一组或多组训练模型分析接收到的数据和上下文数据。 特定医疗测量和其他测量的概率值基于分析并基于识别的类别导出。 将接收到的图像数据与训练图像进行比较。 在接收的图像数据和训练图像之间确定距离值，并且训练图像与所识别的类别相关联。 基于分析，针对特定医疗测量和其他测量得出绝对值特征灵敏度得分。 将概率值，距离值和绝对值特征灵敏度得分输出给用户。

    System and method for using learned discriminative models to segment three dimensional colon image data
    20.
    发明授权
    System and method for using learned discriminative models to segment three dimensional colon image data 有权
    使用学习的鉴别模型分割三维结肠图像数据的系统和方法

    公开(公告)号：US07583831B2

    公开(公告)日：2009-09-01

    申请号：US11349793

    申请日：2006-02-08

    申请人： Zhuowen Tu ,  Xiang Zhou ,  Dorin Comaniciu ,  Luca Bogoni ,  Adrian Barbu

    发明人： Zhuowen Tu ,  Xiang Zhou ,  Dorin Comaniciu ,  Luca Bogoni ,  Adrian Barbu

    IPC分类号： G06K9/00

    CPC分类号： G06K9/4638 ,  G06K9/38 ,  G06K2209/05 ,  G06T7/11 ,  G06T2200/04 ,  G06T2207/10081 ,  G06T2207/20081 ,  G06T2207/20156 ,  G06T2207/30028

    摘要： A system and method for using learned discriminative models to segment a border of an anatomical structure in a three dimensional (3D) image is disclosed. A discriminative probability model is computed for each voxel in the 3D image. Thresholding is performed on each discriminative probability model. One or more two dimensional (2D) slices of the thresholded 3D image along X-Y planes are obtained. Seed regions are selected in the 2D slices. Morphological region growing is performed on the selected seed regions. An initial 3D segmentation is obtained. Boundary evolution is performed on the initial 3D segmentation. The segmented anatomical structure is removed. in the original 3D image.

    摘要翻译： 公开了一种用于使用学习的鉴别模型来分割三维（3D）图像中的解剖结构的边界的系统和方法。 为3D图像中的每个体素计算辨别概率模型。 对每个识别概率模型进行阈值处理。 获得沿X-Y平面的阈值3D图像的一个或多个二维（2D）切片。 在2D切片中选择种子区域。 在选择的种子区域上进行形态区域生长。 获得初始3D分割。 对初始3D分割进行边界演化。 切除分割的解剖结构。 在原始的3D图像。