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公开(公告)号：US20120070055A1
公开(公告)日：2012-03-22
申请号：US13238370
申请日：2011-09-21
申请人： David Liu , Dijia Wu , Shaohua Kevin Zhou , Maria Jimena Costa , Michael Suehling , Christian Tietjen
发明人： David Liu , Dijia Wu , Shaohua Kevin Zhou , Maria Jimena Costa , Michael Suehling , Christian Tietjen
IPC分类号： G06K9/00
CPC分类号： G06T7/0016 , G06T7/41 , G06T2207/10072 , G06T2207/20012 , G06T2207/20041 , G06T2207/20081 , G06T2207/20104 , G06T2207/30056
摘要： A method and system for automatically detecting liver lesions in medical image data, such as 3D CT images, is disclosed. A liver region is segmented in a 3D image. Liver lesion center candidates are detected in the segmented liver region. Lesion candidates are segmented corresponding to the liver lesion center candidates, and lesions are detected from the segmented lesion candidates using learning based verification.
摘要翻译： 公开了一种用于自动检测医学图像数据中肝脏病变的方法和系统，如3D CT图像。 肝脏区域被分割成3D图像。 肝脏病变中心候选人在分段肝脏区域检测到。 病变候选者对应于肝脏病变中心候选物，并且使用基于学习的验证从分割的病变候选物检测病变。
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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
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.
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73.发明授权公开(公告)号：US09646229B2
公开(公告)日：2017-05-09
申请号：US14041029
申请日：2013-09-30
申请人： Michal Sofka , Meizhu Liu , Dijia Wu , Shaohua Kevin Zhou
发明人： Michal Sofka , Meizhu Liu , Dijia Wu , Shaohua Kevin Zhou
CPC分类号： G06K9/66 , G06T7/0014 , G06T7/10 , G06T2207/10081 , G06T2207/10088 , G06T2207/20081 , G06T2207/30004
摘要： A method and system for automatic bone segmentation and landmark detection for joint replacement surgery is disclosed. A 3D medical image of at least a target joint region of a patient is received. A plurality bone structures are automatically segmented in the target joint region of the 3D medical image and a plurality of landmarks associated with a joint replacement surgery are automatically detected in the target joint region of the 3D medical image. The boundaries of segmented bone structures can then be interactively refined based on user inputs.
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公开(公告)号：US09135696B2
公开(公告)日：2015-09-15
申请号：US13735112
申请日：2013-01-07
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。
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75.发明授权Method and system for multi-organ segmentation using learning-based segmentation and level set optimization 有权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
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。
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76.发明授权Method and system for detection 3D spinal geometry using iterated marginal space learning 有权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
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。
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77.发明申请SYSTEM AND METHOD FOR IDENTIFICATION, GROUPING AND SIZING OF EMBEDDED FLAWS IN ROTOR COMPONENTS USING ULTRASONIC INSPECTION 有权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。
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78.发明申请TURBINE BLADE FATIGUE LIFE ANALYSIS USING NON-CONTACT MEASUREMENT AND DYNAMICAL RESPONSE RECONSTRUCTION TECHNIQUES 审中-公开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。
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79.发明申请公开(公告)号：US20140093153A1
公开(公告)日：2014-04-03
申请号：US14041029
申请日：2013-09-30
申请人： Michal Sofka , Meizhu Liu , Dijia Wu , Shaohua Kevin Zhou
发明人： Michal Sofka , Meizhu Liu , Dijia Wu , Shaohua Kevin Zhou
CPC分类号： G06K9/66 , G06T7/0014 , G06T7/10 , G06T2207/10081 , G06T2207/10088 , G06T2207/20081 , G06T2207/30004
摘要： A method and system for automatic bone segmentation and landmark detection for joint replacement surgery is disclosed. A 3D medical image of at least a target joint region of a patient is received. A plurality bone structures are automatically segmented in the target joint region of the 3D medical image and a plurality of landmarks associated with a joint replacement surgery are automatically detected in the target joint region of the 3D medical image. The boundaries of segmented bone structures can then be interactively refined based on user inputs.
摘要翻译： 公开了一种用于关节置换手术的自动骨分割和地标检测的方法和系统。 接收患者的至少目标关节区域的3D医学图像。 在3D医疗图像的目标关节区域中自动分割多个骨骼结构，并且在3D医疗图像的目标关节区域中自动检测与关节置换手术相关联的多个界标。 然后可以基于用户输入交互地改进分段骨结构的边界。
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公开(公告)号：US08571285B2
公开(公告)日：2013-10-29
申请号：US13274515
申请日：2011-10-17
CPC分类号： G06T7/73 , G06T2207/10081 , G06T2207/30012 , G06T2207/30064 , G06T2207/30172
摘要： Ribs are automatically ordered and paired. After ordering ribs on each side, magnetic and spring functions are used to solve for rib pairing. The magnetic function is used to constrain possible pairs across sides, and the spring function is used to maintain the order on each side while accounting for missing or fused ribs.
摘要翻译： 肋骨自动排序并配对。 在每侧排列肋后，使用磁力和弹簧功能来解决肋配对。 磁功能用于限制双方的可能对，弹簧功能用于维护每侧的顺序，同时考虑到缺失或融合的肋骨。
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