利索-全球专利检索

  1. 登录
  2. 注册

搜索结果

405 条记录 (耗时 0.051 秒)

    Method and system for training a landmark detector using multiple instance learning
    52.
    发明授权
    Method and system for training a landmark detector using multiple instance learning 有权
    使用多实例学习训练地标探测器的方法和系统

    公开(公告)号：US08588519B2

    公开(公告)日：2013-11-19

    申请号：US13228509

    申请日：2011-09-09

    申请人： David Liu ,  Shaohua Kevin Zhou ,  Paul Swoboda ,  Dorin Comaniciu ,  Christian Tietjen

    发明人： David Liu ,  Shaohua Kevin Zhou ,  Paul Swoboda ,  Dorin Comaniciu ,  Christian Tietjen

    IPC分类号： G06K9/52

    CPC分类号： G06K9/6257 ,  G06K2209/051

    摘要： An apparatus and method for training a landmark detector receives training data which includes a plurality of positive training bags, each including a plurality of positively annotated instances, and a plurality of negative training bags, each including at least one negatively annotated instance. Classification function is initialized by training a first weak classifier based on the positive training bags and the negative training bags. All training instances are evaluated using the classification function. For each of a plurality of remaining classifiers, a cost value gradient is calculated based on spatial context information of each instance in each positive bag evaluated by the classification function. A gradient value associated with each of the remaining weak classifiers is calculated based on the cost value gradients, and a weak classifier is selected which has a lowest associated gradient value and given a weighting parameter and added to the classification function.

    摘要翻译： 用于训练地标检测器的装置和方法接收训练数据，训练数据包括多个正训练袋，每个正训练袋包括多个带有正面注释的实例，以及多个负训练袋，每个包括至少一个负注释实例。 基于积极的训练袋和负面训练袋训练第一个弱分类器来初始化分类功能。 使用分类函数评估所有训练实例。 对于多个剩余分类器中的每一个，基于由分类函数评估的每个正包中的每个实例的空间上下文信息来计算成本值梯度。 基于成本值梯度计算与剩余弱分类器中的每一个相关联的梯度值，并且选择具有最低相关梯度值并给出加权参数并加到分类函数的弱分类器。

    Method and System for Automatic Native and Bypass Coronary Ostia Detection in Cardiac Computed Tomography Volumes
    53.
    发明申请
    Method and System for Automatic Native and Bypass Coronary Ostia Detection in Cardiac Computed Tomography Volumes 有权
    心脏计算机断层扫描中自动本机和旁路冠状动脉检测的方法和系统

    公开(公告)号：US20120071755A1

    公开(公告)日：2012-03-22

    申请号：US13233220

    申请日：2011-09-15

    申请人： Yefeng Zheng ,  Fernando Vega-Higuera ,  Shaohua Kevin Zhou ,  Dorin Comaniciu

    发明人： Yefeng Zheng ,  Fernando Vega-Higuera ,  Shaohua Kevin Zhou ,  Dorin Comaniciu

    IPC分类号： A61B6/03

    CPC分类号： G06T7/0081 ,  G06T7/11 ,  G06T7/12 ,  G06T2207/10072 ,  G06T2207/30048 ,  G06T2207/30101 ,  G06T2207/30172

    摘要： A method and system for detection of native and bypass coronary ostia in a 3D volume, such as a CT volume, is disclosed. Native coronary ostia are detected by detecting a bounding box defining locations of a left native coronary ostium and a right native coronary ostium in the 3D volume using marginal space learning (MSL), and locally refining the locations of the left native coronary ostium and the right native coronary ostium using a trained native coronary ostium detector. Bypass coronary ostia are detected by segmenting an ascending aorta surface mesh in the 3D volume, generating a search region of a plurality of mesh points on the ascending aorta surface mesh based on a distribution of annotated bypass coronary ostia in a plurality of training volumes, and detecting the bypass coronary ostia by searching the plurality of mesh points in the search region.

    摘要翻译： 公开了用于检测3D体积中的天然和旁路冠状动脉口腔的方法和系统，例如CT体积。 通过使用边缘空间学习（MSL）检测在3D体积中定义左天然冠状动脉口和右天然冠状动脉口的位置的边界框来检测本地冠状动脉，并且局部改善左天然冠状动脉口和右侧的位置 使用训练有素的本地冠状动脉口腔检测器进行本地冠状动脉口。 通过分割3D体积中的上升主动脉表面网格来检测旁路冠状动脉口腔，基于多个训练体积中注释旁路冠状动脉口腔的分布，生成升主动脉表面网格上的多个网格点的搜索区域，以及 通过搜索搜索区域中的多个网格点来检测旁路冠状动脉口。

    Method and System for Detection and Tracking of Coronary Sinus Catheter Electrodes in Fluoroscopic Images
    54.
    发明申请
    Method and System for Detection and Tracking of Coronary Sinus Catheter Electrodes in Fluoroscopic Images 有权
    用于检查和跟踪冠状动脉窦导管电极在荧光镜图像中的方法和系统

    公开(公告)号：US20120070046A1

    公开(公告)日：2012-03-22

    申请号：US13229855

    申请日：2011-09-12

    申请人： Wen Wu ,  Terrence Chen ,  Peng Wang ,  Norbert Strobel ,  Shaohua Kevin Zhou ,  Dorin Comaniciu

    发明人： Wen Wu ,  Terrence Chen ,  Peng Wang ,  Norbert Strobel ,  Shaohua Kevin Zhou ,  Dorin Comaniciu

    IPC分类号： G06K9/00

    CPC分类号： G06T7/0014 ,  A61B2034/2065 ,  A61B2090/376 ,  G06K2209/057 ,  G06T7/20 ,  G06T2207/10121 ,  G06T2207/30021 ,  G06T2207/30048

    摘要： A method and system for detecting and tracking coronary sinus (CS) catheter electrodes in a fluoroscopic image sequence is disclosed. An electrode model is initialized in a first frame of the fluoroscopic image sequence based on input locations of CS sinus catheter electrodes in the first frame. The electrode model is tracked in subsequent frames of the fluoroscopic image sequence by detecting electrode position candidates in the subsequent frames of the fluoroscopic image sequence using at least one trained electrode detector, generating electrode model candidates in the subsequent frames based on the detected electrode position candidates, calculating a probability score for each of the electrode model candidates, and selecting an electrode model candidate based on the probability score.

    摘要翻译： 公开了一种用于在荧光镜图像序列中检测和跟踪冠状窦（CS）导管电极的方法和系统。 基于第一帧中的CS窦导管电极的输入位置，在荧光镜图像序列的第一帧中初始化电极模型。 通过使用至少一个经过训练的电极检测器检测荧光镜像图像序列的后续帧中的电极位置候选物，在荧光图像序列的后续帧中跟踪电极模型，基于检测到的电极位置候选产生后续帧中的电极模型候选 计算每个电极模型候选的概率分数，并且基于概率分数来选择电极模型候选。

    Method and system for detection and tracking of coronary sinus catheter electrodes in fluoroscopic images
    57.
    发明授权
    Method and system for detection and tracking of coronary sinus catheter electrodes in fluoroscopic images 有权
    荧光镜检查和跟踪冠状静脉窦导管电极的方法和系统

    公开(公告)号：US08892186B2

    公开(公告)日：2014-11-18

    申请号：US13229855

    申请日：2011-09-12

    申请人： Wen Wu ,  Terrence Chen ,  Peng Wang ,  Norbert Strobel ,  Shaohua Kevin Zhou ,  Dorin Comaniciu

    发明人： Wen Wu ,  Terrence Chen ,  Peng Wang ,  Norbert Strobel ,  Shaohua Kevin Zhou ,  Dorin Comaniciu

    IPC分类号： A61B5/05 ,  G06T7/00 ,  G06T7/20 ,  A61B19/00

    CPC分类号： G06T7/0014 ,  A61B2034/2065 ,  A61B2090/376 ,  G06K2209/057 ,  G06T7/20 ,  G06T2207/10121 ,  G06T2207/30021 ,  G06T2207/30048

    摘要： A method and system for detecting and tracking coronary sinus (CS) catheter electrodes in a fluoroscopic image sequence is disclosed. An electrode model is initialized in a first frame of the fluoroscopic image sequence based on input locations of CS sinus catheter electrodes in the first frame. The electrode model is tracked in subsequent frames of the fluoroscopic image sequence by detecting electrode position candidates in the subsequent frames of the fluoroscopic image sequence using at least one trained electrode detector, generating electrode model candidates in the subsequent frames based on the detected electrode position candidates, calculating a probability score for each of the electrode model candidates, and selecting an electrode model candidate based on the probability score.

    摘要翻译： 公开了一种用于在荧光镜图像序列中检测和跟踪冠状窦（CS）导管电极的方法和系统。 基于第一帧中的CS窦导管电极的输入位置，在荧光镜图像序列的第一帧中初始化电极模型。 通过使用至少一个经过训练的电极检测器检测荧光镜像图像序列的后续帧中的电极位置候选物，在荧光图像序列的后续帧中跟踪电极模型，基于检测到的电极位置候选产生后续帧中的电极模型候选 计算每个电极模型候选的概率分数，并且基于概率分数来选择电极模型候选。

    Method and System for Efficient Extraction of a Silhouette of a 3D Mesh
    60.
    发明申请
    Method and System for Efficient Extraction of a Silhouette of a 3D Mesh 有权
    一种3D网格剪影效率提取的方法与系统

    公开(公告)号：US20120069017A1

    公开(公告)日：2012-03-22

    申请号：US13235802

    申请日：2011-09-19

    申请人： Yefeng Zheng ,  Yu Pang ,  Rui Liao ,  Matthias John ,  Jan Boese ,  Shaohua Kevin Zhou ,  Dorin Comaniciu

    发明人： Yefeng Zheng ,  Yu Pang ,  Rui Liao ,  Matthias John ,  Jan Boese ,  Shaohua Kevin Zhou ,  Dorin Comaniciu

    IPC分类号： G06T17/00

    CPC分类号： G06T17/20 ,  G06T7/12 ,  G06T7/181

    摘要： A method and system for extracting a silhouette of a 3D mesh representing an anatomical structure is disclosed. The 3D mesh is projected to two dimensions. Silhouette candidate edges are generated in the projected mesh by pruning edges and mesh points based on topology analysis of the projected mesh. Each silhouette candidate edge that intersects with another edge in the projected mesh is split into two silhouette candidate edges. The silhouette is extracted using an edge following process on the silhouette candidate edges.

    摘要翻译： 公开了一种用于提取表示解剖结构的3D网格的轮廓的方法和系统。 3D网格投影到两个维度。 通过基于投影网格的拓扑分析修剪边缘和网格点，在投影网格中生成剪影候选边缘。 与投影网格中的另一边缘相交的每个剪影候选边缘被分割成两个轮廓候选边缘。 使用轮廓候选边缘上的边缘跟随过程提取轮廓。