利索-全球专利检索

  1. 登录
  2. 注册

搜索结果

405 条记录 (耗时 0.043 秒)

    Method and System for Automatic Detection and Measurement of Mitral Valve Inflow Patterns in Doppler Echocardiography
    12.
    发明申请
    Method and System for Automatic Detection and Measurement of Mitral Valve Inflow Patterns in Doppler Echocardiography 有权
    多普勒超声心动图二尖瓣流入模式自动检测和测量方法与系统

    公开(公告)号：US20090310837A1

    公开(公告)日：2009-12-17

    申请号：US12481861

    申请日：2009-06-10

    申请人： Jin-hyeong Park ,  Shaohua Kevin Zhou ,  John I. Jackson ,  Dorin Comaniciu

    发明人： Jin-hyeong Park ,  Shaohua Kevin Zhou ,  John I. Jackson ,  Dorin Comaniciu

    IPC分类号： G06K9/00

    CPC分类号： G06K9/0053 ,  A61B8/0883 ,  A61B8/488 ,  G06K2209/05

    摘要： A method and system for segmentation of mitral valve inflow (MI) patterns in Doppler echocardiogram images is disclosed. Trained root detectors are used to detect left root candidates, right root candidates, and peak candidates in an input Doppler echocardiogram image. Two global structure detectors, a single triangle detector for non-overlapping E-waves and A-waves and a double triangle detector for overlapping E-waves and A-waves, are used to detect single triangle candidates and double triangle candidates based on the left root, right root, and peak candidates. A shape profile is used to determine a shape probability for each of the single triangle candidates and each of the double triangle candidates. The best single triangle candidate and the best double triangle candidate are selected based on shape probability and detection probability. One of the best single triangle candidate and the best double triangle candidate is selected as the final segmentation result based on a shape probability comparison.

    摘要翻译： 公开了一种用于多普勒超声心动图图像中二尖瓣流入（MI）模式分割的方法和系统。 训练的根检测器用于检测输入多普勒超声心动图图像中的左根候选，右根候选和峰候选。 两个全局结构检测器，用于非重叠E波和A波的单个三角形检测器和用于重叠E波和A波的双三角形检测器用于基于左侧检测单个三角形候选和双三角形候选 根，右根和峰值候选。 形状轮廓用于确定每个单个三角形候选和每个双三角形候选的形状概率。 基于形状概率和检测概率选择最佳单三角候选和最佳双三角候选。 基于形状概率比较，选择最佳单三角候选和最佳双三角候选之一作为最终分割结果。

    System and method for detection of fetal anatomies from ultrasound images using a constrained probabilistic boosting tree
    16.
    发明授权
    System and method for detection of fetal anatomies from ultrasound images using a constrained probabilistic boosting tree 有权
    使用约束概率增强树从超声图像中检测胎儿解剖结构的系统和方法

    公开(公告)号：US07995820B2

    公开(公告)日：2011-08-09

    申请号：US12056107

    申请日：2008-03-26

    申请人： Gustavo Henrique Monteiro de Barros Carneiro ,  Bogdan Georgescu ,  Sara Good ,  Dorin Comaniciu

    发明人： Gustavo Henrique Monteiro de Barros Carneiro ,  Bogdan Georgescu ,  Sara Good ,  Dorin Comaniciu

    IPC分类号： G06K9/00

    CPC分类号： G06K9/46 ,  A61B8/0866 ,  G06K9/3233 ,  G06K9/38 ,  G06K9/4614 ,  G06K9/6282 ,  G06K2009/366 ,  G06K2209/051

    摘要： A method for detecting fetal anatomic features in ultrasound images includes providing an ultrasound image of a fetus, specifying an anatomic feature to be detected in a region S determined by parameter vector θ, providing a sequence of probabilistic boosting tree classifiers, each with a pre-specified height and number of nodes. Each classifier computes a posterior probability P(y|S) where yε{−1,+1}, with P(y=+1|S) representing a probability that region S contains the feature, and P(y=−1|S) representing a probability that region S contains background information. The feature is detected by uniformly sampling a parameter space of parameter vector θ using a first classifier with a sampling interval vector used for training said first classifier, and having each subsequent classifier classify positive samples identified by a preceding classifier using a smaller sampling interval vector used for training said preceding classifier. Each classifier forms a union of its positive samples with those of the preceding classifier.

    摘要翻译： 一种用于检测超声图像中的胎儿解剖特征的方法，包括提供胎儿的超声图像，指定在由参数矢量和姿势确定的区域S中要检测的解剖特征;提供一系列概率增强树分类器，每个具有预先 指定的高度和节点数。 每个分类器计算出一个后验概率P（y | S），其中y（e）= { - 1，+ 1}，其中P（y = + 1 | S）表示区域S包含特征的概率，P（y = -1 | S），表示区域S包含背景信息的概率。 通过对参数矢量和参数的参数空间进行均匀采样来检测该特征; 使用具有用于训练所述第一分类器的采样间隔向量的第一分类器，并且每个后续分类器使用用于训练所述先前分类器的较小采样间隔向量来对由先前分类器标识的正样本进行分类。 每个分类器形成其正样本与上一分类器的并集。

    System and method for quasi-real-time ventricular measurements from M-mode echocardiogram
    19.
    发明授权
    System and method for quasi-real-time ventricular measurements from M-mode echocardiogram 有权
    从M型超声心动图准准实时心室测量的系统和方法

    公开(公告)号：US08396531B2

    公开(公告)日：2013-03-12

    申请号：US12054094

    申请日：2008-03-24

    申请人： Shaohua Kevin Zhou ,  Feng Guo ,  John Jackson ,  Michael Brendel ,  Dorin Comaniciu

    发明人： Shaohua Kevin Zhou ,  Feng Guo ,  John Jackson ,  Michael Brendel ,  Dorin Comaniciu

    IPC分类号： A61B5/00

    CPC分类号： A61B8/08 ,  A61B5/1075 ,  A61B5/7267 ,  A61B6/503 ,  A61B8/0883 ,  A61B8/463 ,  A61B8/486 ,  G06K9/00523 ,  G06K9/00536 ,  G06K9/6257 ,  G06T7/60

    摘要： A method for measuring ventricular dimensions from M-mode echocardiograms, includes providing a digitized M-mode echocardiogram image, running a plurality of local classifiers, where each local classifier trained to detect a landmark on either an end-diastole (ED) line or an end-systole (ES) line in the image, recording all possible landmarks detected by the classifiers, where a search range in an N-dimensional parameter space defined by the landmarks for each dimension is reduced to a union of subsets, where each dimension of the parameter space corresponds a landmark, for each combination of possible landmarks, checking if an order of the landmarks is consistent with a known ordering of the landmarks, and if the order is consistent, running a global detector on each consistent combination of landmarks to find a landmark combination with a highest detection probability as a confirmed landmark detection, where the landmarks are used for measuring ventricular dimensions.

    摘要翻译： 一种用于从M型超声心动图测量心室尺寸的方法，包括提供数字化的M模式超声心动图图像，运行多个局部分类器，其中训练每个局部分类器以检测舒张末期（ED）线或 记录图像中的终点收缩（ES）线，记录由分类器检测到的所有可能的地标，其中由每个维度的地标定义的N维参数空间中的搜索范围被减少到子集的并集，其中每个维度 参数空间对应于地标，对于可能的地标的每个组合，检查地标的顺序是否与已知的地标的顺序一致，并且如果顺序一致，则在每个一致的地标组合上运行全局检测器以找到 具有最高检测概率的地标组合，作为确认的地标检测，其中地标被用于测量心室维度。

    System and Method for Quasi-Real-Time Ventricular Measurements From M-Mode EchoCardiogram
    20.
    发明申请
    System and Method for Quasi-Real-Time Ventricular Measurements From M-Mode EchoCardiogram 有权
    从M模式回波心电图准确实时心室测量的系统和方法

    公开(公告)号：US20080281203A1

    公开(公告)日：2008-11-13

    申请号：US12054094

    申请日：2008-03-24

    申请人： Shaohua Kevin Zhou ,  Feng Guo ,  John Jackson ,  Michael Brendel ,  Dorin Comaniciu

    发明人： Shaohua Kevin Zhou ,  Feng Guo ,  John Jackson ,  Michael Brendel ,  Dorin Comaniciu

    IPC分类号： A61B8/00

    CPC分类号： A61B8/08 ,  A61B5/1075 ,  A61B5/7267 ,  A61B6/503 ,  A61B8/0883 ,  A61B8/463 ,  A61B8/486 ,  G06K9/00523 ,  G06K9/00536 ,  G06K9/6257 ,  G06T7/60

    摘要： A method for measuring ventricular dimensions from M-mode echocardiograms, includes providing a digitized M-mode echocardiogram image, running a plurality of local classifiers, where each local classifier trained to detect a landmark on either an end-diastole (ED) line or an end-systole (ES) line in the image, recording all possible landmarks detected by the classifiers, where a search range in an N-dimensional parameter space defined by the landmarks for each dimension is reduced to a union of subsets, where each dimension of the parameter space corresponds a landmark, for each combination of possible landmarks, checking if an order of the landmarks is consistent with a known ordering of the landmarks, and if the order is consistent, running a global detector on each consistent combination of landmarks to find a landmark combination with a highest detection probability as a confirmed landmark detection, where the landmarks are used for measuring ventricular dimensions.

    摘要翻译： 一种用于从M型超声心动图测量心室尺寸的方法，包括提供数字化的M模式超声心动图图像，运行多个局部分类器，其中训练每个局部分类器以检测舒张末期（ED）线或 记录图像中的终点收缩（ES）线，记录由分类器检测到的所有可能的地标，其中由每个维度的地标定义的N维参数空间中的搜索范围被减少到子集的并集，其中每个维度 参数空间对应于地标，对于可能的地标的每个组合，检查地标的顺序是否与已知的地标的顺序一致，并且如果顺序一致，则在每个一致的地标组合上运行全局检测器以找到 具有最高检测概率的地标组合，作为确认的地标检测，其中地标被用于测量心室维度。