专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

71. 发明授权

US08407267B2 Apparatus, method, system and computer-readable medium for storing and managing image data 有权
标题翻译：用于存储和管理图像数据的装置，方法，系统和计算机可读介质
公开(公告)号：US08407267B2
公开(公告)日：2013-03-26
申请号：US12554436
申请日：2009-09-04
申请人： Johannes Feulner , Shaohua Kevin Zhou
发明人： Johannes Feulner , Shaohua Kevin Zhou
IPC分类号： G06F17/30
CPC分类号： G06F19/321 , G06F19/00
摘要： An apparatus, method, system and computer-readable medium store and manage image data with automatic labeling of image data corresponding to body slices, such as obtained by a computed tomography scanner. The labels include a body coordinate value along the body axis. The respective body coordinate value can be determined by comparing received image data sets with reference data sets with known attached coordinate values utilizing pattern recognition techniques. Applications include medical image data management in hospitals or operating and providing medical networks. Queries for images that include particular body regions are processed more efficiently. This results in less local memory required and narrower bandwidth resources of transmission networks.
摘要翻译：一种装置，方法，系统和计算机可读介质利用计算机断层摄影扫描器获得的对身体切片的图像数据进行自动标注来存储和管理图像数据。标签包括身体轴线上的身体坐标值。可以通过使用模式识别技术将接收到的图像数据集与具有已知附加坐标值的参考数据集进行比较来确定相应的身体坐标值。应用包括医院的医学图像数据管理或运营和提供医疗网络。对包含特定身体区域的图像的查询进行更有效的处理。这导致需要较少的本地存储器和较窄的传输网络的带宽资源。

72. 发明申请

US20110021915A1 Detection of Structure in Ultrasound M-Mode Imaging 有权
标题翻译：超声M模式成像检测结构
公开(公告)号：US20110021915A1
公开(公告)日：2011-01-27
申请号：US12839547
申请日：2010-07-20
申请人： Shaolei Feng , Wei Zhang , Shaohua Kevin Zhou , Jin-hyeong Park
发明人： Shaolei Feng , Wei Zhang , Shaohua Kevin Zhou , Jin-hyeong Park
IPC分类号： A61B8/14
CPC分类号： A61B8/08 , A61B5/107 , A61B5/7267 , A61B8/0883 , A61B8/461 , A61B8/463 , A61B8/465 , A61B8/486 , G06T7/73 , G06T2207/10132 , G06T2207/30048
摘要： Automated detection of structure is provided in ultrasound M-mode imaging. A coarse and fine search for structure is used. For example, a less noise susceptible initial position or range of positions for a given structure is determined. This position is then refined. The coarse positioning and/or the refined position may use machine-trained classifiers. The positions of other structure may be used in either coarse or fine positioning, such as using a Markov Random Field. The structure or structures may be identified in the M-mode image without user input of a location in the M-mode image or along the line.
摘要翻译：在超声M模式成像中提供了结构的自动检测。使用粗略和精细的结构搜索。例如，确定给定结构的较小噪声敏感的初始位置或位置范围。然后改善这一立场。粗略定位和/或精细位置可以使用机器训练的分类器。其他结构的位置可以用于粗略或精细定位，例如使用马尔可夫随机场。可以在M模式图像中识别结构或结构，而无需用户输入M模式图像中的位置或沿着线。

73. 发明授权

US09658192B2 Insulation defect detection of high voltage generator stator core 有权
公开(公告)号：US09658192B2
公开(公告)日：2017-05-23
申请号：US13742615
申请日：2013-01-16
申请人： Xuefei Guan , Jingdan Zhang , Shaohua Kevin Zhou , Mark W. Fischer , Waheed A. Abbasi , Scott A. Karstetter , Christopher John William Adams
发明人： Xuefei Guan , Jingdan Zhang , Shaohua Kevin Zhou , Mark W. Fischer , Waheed A. Abbasi , Scott A. Karstetter , Christopher John William Adams
IPC分类号： G01N27/82 , G01N27/90 , G06F17/11 , G01R31/34 , G01N27/20 , G01R31/12
CPC分类号： G01N27/904 , G01N27/20 , G01N27/82 , G01R31/1227 , G01R31/34 , G06F17/11
摘要： In a general methodology for insulation defect identification in a generator core, a Chattock coil is used to measure magnetic potential difference between teeth. Physical knowledge and empirical knowledge is combined in a model to predict insulation damage location and severity. Measurements are taken at multiple excitation frequencies to solve for multiple characteristics of the defect.

74. 发明授权

US09135696B2 Implant pose determination in medical imaging 有权
标题翻译：植入姿势确定医学成像
公开(公告)号：US09135696B2
公开(公告)日：2015-09-15
申请号：US13735112
申请日：2013-01-07
申请人： Shaolei Feng , Shaohua Kevin Zhou , Gerhard Kleinszig , Rainer Graumann
发明人： Shaolei Feng , Shaohua Kevin Zhou , Gerhard Kleinszig , Rainer Graumann
IPC分类号： G06K9/00 , G06T7/00
CPC分类号： G06T7/0012 , G06T7/75 , G06T2207/10116 , G06T2207/30052
摘要： The pose of an implant represented in a medical image is determined from the medical image. The x-ray image of the implant is compared to a database of the implant viewed at different poses (e.g., viewed from different directions). The implant pose associated with the best match indicates the pose of the implant in the x-ray image.
摘要翻译：根据医学图像确定在医学图像中表示的植入物的姿势。将植入物的x射线图像与在不同姿势（例如从不同方向观察）观察的植入物的数据库进行比较。与最佳匹配关联的植入姿势表示植入物在X射线图像中的姿态。

75. 发明授权

US09042620B2 Method and system for multi-organ segmentation using learning-based segmentation and level set optimization 有权
标题翻译：使用基于学习的分割和水平集优化的多器官分割的方法和系统
公开(公告)号：US09042620B2
公开(公告)日：2015-05-26
申请号：US13416508
申请日：2012-03-09
申请人： Timo Kohlberger , Michal Sofka , Jens Wetzl , Jingdan Zhang , Shaohua Kevin Zhou , Neil Birkbeck , Jerome Declerck , Jens Kaftan
发明人： Timo Kohlberger , Michal Sofka , Jens Wetzl , Jingdan Zhang , Shaohua Kevin Zhou , Neil Birkbeck , Jerome Declerck , Jens Kaftan
IPC分类号： G06K9/00 , G06T7/00 , G06K9/62
CPC分类号： G06T7/0083 , G06K9/6209 , G06T7/12 , G06T2207/10081 , G06T2207/20081 , G06T2207/20161 , G06T2207/30048 , G06T2207/30084
摘要： A method and system for automatic multi-organ segmentation in a 3D image, such as a 3D computed tomography (CT) volume using learning-base segmentation and level set optimization is disclosed. A plurality of meshes are segmented in a 3D medical image, each mesh corresponding to one of a plurality of organs. A level set in initialized by converting each of the plurality of meshes to a respective signed distance map. The level set optimized by refining the signed distance map corresponding to each one of the plurality of organs to minimize an energy function.
摘要翻译：公开了一种3D图像自动多器官分割的方法和系统，例如使用学习型基础分割和级别集优化的3D计算机断层摄影（CT）体积。在3D医学图像中分割多个网格，每个网格对应于多个器官中的一个。通过将多个网格中的每一个转换为相应的带符号距离图来初始化的级别。通过精化对应于多个器官中的每一个的有符号距离图来最优化能量函数来优化的级别集合。

76. 发明授权

US09042618B2 Method and system for detection 3D spinal geometry using iterated marginal space learning 有权
标题翻译：使用迭代边缘空间学习检测3D脊柱几何的方法和系统
公开(公告)号：US09042618B2
公开(公告)日：2015-05-26
申请号：US12794850
申请日：2010-06-07
申请人： Michael Kelm , Shaohua Kevin Zhou , Yefeng Zheng , Michael Suehling
发明人： Michael Kelm , Shaohua Kevin Zhou , Yefeng Zheng , Michael Suehling
IPC分类号： G06K9/00 , G06T7/00
CPC分类号： G06T7/0087 , G06K2209/055 , G06T7/143 , G06T2207/20076 , G06T2207/20081 , G06T2207/30012
摘要： A method and apparatus for automatic detection and labeling of 3D spinal geometry is disclosed. Cervical, thoracic, and lumbar spine regions are detected in a 3D image. Intervertebral disk candidates are detected in each of the spine regions using iterative marginal space learning (MSL). Using a global probabilistic spine model, a separate one of the intervertebral disk candidates is selected for each of a plurality of labeled intervertebral disk locations.
摘要翻译：公开了一种用于3D脊柱几何的自动检测和标记的方法和装置。在3D图像中检测到子宫颈，胸部和腰椎区域。使用迭代边缘空间学习（MSL）在每个脊柱区域中检测椎间盘候选物。使用全局概率脊柱模型，为多个标记的椎间盘位置中的每一个选择椎间盘候选物中的单独的一个。

77. 发明申请

US20140200853A1 SYSTEM AND METHOD FOR IDENTIFICATION, GROUPING AND SIZING OF EMBEDDED FLAWS IN ROTOR COMPONENTS USING ULTRASONIC INSPECTION 有权
标题翻译：使用超声波检查的转子组件中嵌入式飞轮的识别，分组和尺寸的系统和方法
公开(公告)号：US20140200853A1
公开(公告)日：2014-07-17
申请号：US14146751
申请日：2014-01-03
申请人： Xuefei Guan , Jingdan Zhang , Shaohua Kevin Zhou , El Mahjoub Rasselkorde , Waheed A. Abbasi , Steve H. Radke , Chin-Sheng Lee , Ashley L. Lewis
发明人： Xuefei Guan , Jingdan Zhang , Shaohua Kevin Zhou , El Mahjoub Rasselkorde , Waheed A. Abbasi , Steve H. Radke , Chin-Sheng Lee , Ashley L. Lewis
IPC分类号： G01N29/44
CPC分类号： G01N29/4445 , G01N29/069 , G01N2291/2693 , G06T17/00
摘要： A method and software system for flaw identification, grouping and sizing for fatigue life assessment for rotors used in turbines and generators. The method includes providing ultrasonic data of a plurality of rotor slices and providing volume reconstruction of the ultrasonic data. The method also includes providing in-slice identification, grouping and sizing of flaw indications in the rotor based on the volume reconstruction. Further, the method includes providing inter-slice identification, grouping and sizing of the flaw indications based on the in-slice flaw indications and providing flaw location and size information. The method can be used in both phased-array and A-scan inspections.
摘要翻译：用于涡轮机和发电机中使用的转子的疲劳寿命评估的缺陷识别，分组和尺寸的方法和软件系统。该方法包括提供多个转子切片的超声波数据并提供超声波数据的体积重建。该方法还包括基于体积重建提供转子中的缺陷指示的片内识别，分组和尺寸。此外，该方法包括基于片内缺陷指示提供缺陷指示的片间识别，分组和大小，并提供缺陷位置和大小信息。该方法可用于相控阵和A扫描检查。

78. 发明申请

US20140100798A1 TURBINE BLADE FATIGUE LIFE ANALYSIS USING NON-CONTACT MEASUREMENT AND DYNAMICAL RESPONSE RECONSTRUCTION TECHNIQUES 审中-公开
标题翻译：使用非接触式测量和动态响应重构技术的涡轮叶片疲劳寿命分析
公开(公告)号：US20140100798A1
公开(公告)日：2014-04-10
申请号：US14028594
申请日：2013-09-17
申请人： Xuefei Guan , Jingdan Zhang , Shaohua Kevin Zhou , Nancy H. Ulerich , Nam Eung Kim , Nikolai R. Tevs
发明人： Xuefei Guan , Jingdan Zhang , Shaohua Kevin Zhou , Nancy H. Ulerich , Nam Eung Kim , Nikolai R. Tevs
IPC分类号： G01L5/00
CPC分类号： G01L5/00 , G01D21/00 , G01H17/00 , G01M5/0016 , G01M5/0041 , G01M15/14 , G01N3/56 , G06F17/40 , G06F19/00
摘要： A method dynamically reconstructing a stress and strain field of a turbine blade includes providing a set of response measurements from at least one location on a turbine blade, band-pass filtering the set of response measurements based on an upper frequency limit and a lower frequency limit, determining an upper envelope and a lower envelope of the set of response measurements from local minima and local maxima of the set of response measurements, calculating a candidate intrinsic mode function (IMF) from the upper envelope and the lower envelope of the set of response measurements, providing an N×N mode shape matrix for the turbine blade, where N is the number of degrees of freedom of the turbine blade, when the candidate IMF is an actual IMF, and calculating a response for another location on the turbine blade from the actual IMF and mode shapes in the mode shape matrix.
摘要翻译：动态重建涡轮叶片的应力和应变场的方法包括从涡轮叶片上的至少一个位置提供一组响应测量值，基于上限频率和较低频率限制对该组响应测量值进行带通滤波从响应测量集合的局部最小值和局部最大值确定响应测量集合的上包络和下包络，从该响应集合的上包络和下包络计算候选固有模函数（IMF）提供用于涡轮叶片的N×N模式形状矩阵，其中N是涡轮叶片的自由度的数量，当候选IMF是实际IMF时，以及计算涡轮机叶片上另一位置的响应模式形状矩阵中的实际IMF和模式形状。

79. 发明授权

US08525831B2 Method and apparatus for three-dimensional visualization and analysis for automatic non-destructive examination of a solid rotor using ultrasonic phased array 有权
标题翻译：用于使用超声波相控阵列对固体转子进行自动无损检测的三维可视化和分析方法和装置
公开(公告)号：US08525831B2
公开(公告)日：2013-09-03
申请号：US12897821
申请日：2010-10-05
申请人： Jingdan Zhang , Moritz Michael Knorr , Shaohua Kevin Zhou , Waheed A. Abbasi , Michael F. Fair , Larry C. Himes , Michael J. Metala , El Mahjoub Rasselkorde
发明人： Jingdan Zhang , Moritz Michael Knorr , Shaohua Kevin Zhou , Waheed A. Abbasi , Michael F. Fair , Larry C. Himes , Michael J. Metala , El Mahjoub Rasselkorde
IPC分类号： G06T17/00
CPC分类号： G06T17/00 , G01N29/0654 , G01N29/262 , G01N2291/2693 , G06T2200/08
摘要： A method and apparatus for three-dimensional visualization and analysis for automatic non-destructive examination of a solid Rotor using ultrasonic phased array is disclosed. Data is acquired by scanning a solid rotor with a phased array ultrasound transducer producing a plurality of two dimensional ultrasound scans. Each of a plurality of sample points of a plurality of two dimensional ultrasound scans are associated with a corresponding 3D image point of a regular grid. A kernel function for each of the plurality of sample points defining a size and shape of a kernel located at the corresponding image point is determined. A weight is assigned to each kernel which, in one embodiment, is based on the sample point value. A value for each image point of the regular 3D grid is determined based on kernels overlapping each image point. A three-dimensional volume representing the solid rotor is then visualized.
摘要翻译：公开了一种用于使用超声波相控阵列对固体转子进行自动无损检测的三维可视化和分析的方法和装置。通过用产生多个二维超声扫描的相控阵超声换能器扫描实体转子来获取数据。多个二维超声波扫描中的多个采样点中的每一个都与规则网格的对应3D图像点相关联。确定定义位于相应图像点的内核的大小和形状的多个采样点中的每一个的核函数。将权重分配给每个内核，其在一个实施例中基于采样点值。基于与每个图像点重叠的内核来确定常规3D网格的每个图像点的值。然后显现代表固体转子的三维体积。

80. 发明申请

US20130223704A1 Method and System for Joint Multi-Organ Segmentation in Medical Image Data Using Local and Global Context 有权
标题翻译：使用本地和全球语境的医学图像数据联合多器官分割的方法和系统
公开(公告)号：US20130223704A1
公开(公告)日：2013-08-29
申请号：US13777024
申请日：2013-02-26
申请人： Nathan Lay , Neil Birkbeck , Jingdan Zhang , Jens Guehring , Shaohua Kevin Zhou
发明人： Nathan Lay , Neil Birkbeck , Jingdan Zhang , Jens Guehring , Shaohua Kevin Zhou
IPC分类号： G06K9/34
CPC分类号： G06K9/34 , G06T7/11 , G06T2207/10088 , G06T2207/20076 , G06T2207/20081 , G06T2207/20124 , G06T2207/20164 , G06T2207/30056 , G06T2207/30084
摘要： A method and system for segmenting multiple organs in medical image data is disclosed. A plurality of landmarks of a plurality of organs are detected in a medical image using an integrated local and global context detector. A global posterior integrates evidence of a plurality of image patches to generate location predictions for the landmarks. For each landmark, a trained discriminative classifier for that landmark evaluates the location predictions for that landmark based on local context. A segmentation of each of the plurality of organs is then generated based on the detected landmarks.
摘要翻译：公开了用于分割医学图像数据中的多个器官的方法和系统。使用集成的局部和全局上下文检测器在医学图像中检测多个器官的多个界标。全局后验集成了多个图像补丁的证据，以生成地标的位置预测。对于每个地标，一个训练有素的区分性分类器根据本地语境来评估该地标的位置预测。然后基于检测到的界标生成多个器官中的每一个的分割。

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式