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    • 21. 发明授权
    • 2D dipole localization using absolute value of MCG measurements
    • 使用绝对值的MCG测量的2D偶极定位
    • US09138156B2
    • 2015-09-22
    • US13485172
    • 2012-05-31
    • Chenyu WuJing Xiao
    • Chenyu WuJing Xiao
    • A61B5/05A61B5/04
    • A61B5/04005A61B5/04007A61B5/04008
    • A magnetic imaging systems produces magnetic magnitude images using magnetic sensors capable of determining only the absolute value of a detected magnetic field and provide no information regarding the positive or negative sign of the detected magnetic image. A 2D dipole location is determines the 2D location of a dipole within a magnetic magnitude image by finding the minimum of the derivative of the absolute value of the magnetic field. This 2D dipole location is then used to determine the 3D position and momentum of a current dipole responsible for the observed magnetic magnitude image. The current dipole is used to generate a magnetic image that incorporate positive and negative sign information.
    • 磁成像系统使用能够仅确定检测到的磁场的绝对值的磁传感器产生磁力幅度图像,并且不提供关于检测到的磁图像的正或负符号的信息。 2D偶极位置通过找到磁场绝对值的导数的最小值来确定磁力幅度图像内偶极子的二维位置。 然后使用该2D偶极位置来确定负责观察到的磁力幅度图像的电流偶极子的3D位置和动量。 当前的偶极子用于产生包含正和负号信息的磁图像。
    • 23. 发明申请
    • 2D Dipole Localization Using Absolute Value of MCG Measurements
    • 使用MCG测量的绝对值的2D偶极定位
    • US20130324832A1
    • 2013-12-05
    • US13485172
    • 2012-05-31
    • Chenyu WuJing Xiao
    • Chenyu WuJing Xiao
    • A61B5/05
    • A61B5/04005A61B5/04007A61B5/04008
    • A magnetic imaging systems produces magnetic magnitude images using magnetic sensors capable of determining only the absolute value of a detected magnetic field and provide no information regarding the positive or negative sign of the detected magnetic image. A 2D dipole location is determines the 2D location of a dipole within a magnetic magnitude image by finding the minimum of the derivative of the absolute value of the magnetic field. This 2D dipole location is then used to determine the 3D position and momentum of a current dipole responsible for the observed magnetic magnitude image. The current dipole is used to generate a magnetic image that incorporate positive and negative sign information.
    • 磁成像系统使用能够仅确定检测到的磁场的绝对值的磁传感器产生磁力幅度图像,并且不提供关于检测到的磁图像的正或负符号的信息。 2D偶极位置通过找到磁场绝对值的导数的最小值来确定磁力幅度图像内偶极子的二维位置。 然后使用该2D偶极位置来确定负责观察到的磁力幅度图像的电流偶极子的3D位置和动量。 当前的偶极子用于产生包含正和负号信息的磁图像。
    • 24. 发明申请
    • Denoise MCG Measurements
    • 降噪MCG测量
    • US20130079622A1
    • 2013-03-28
    • US13239997
    • 2011-09-22
    • Chenyu WuJing Xiao
    • Chenyu WuJing Xiao
    • A61B5/05
    • A61B5/0044A61B5/04005A61B5/04007A61B5/05A61B2562/046
    • A magnetocardiogram (MCG) system with reduced noise artifacts is produced by first creating high-resolution image representations of low-resolution measurements obtained with a magnetic field sensor unit. The high-resolution image representations are created by use of a PCA model that has been trained using a library of ideal, no-noise, high-resolution images. The Biot-Sarvart Law is then used to create a 3D model of a current impulse, given the high-resolution image representations. From the 3D current impulse model, ideal sensor unit measurements as they would have been obtained using a theoretical sensor unit observing the 3D current impulse model are synthesized.
    • 通过首先产生用磁场传感器单元获得的低分辨率测量值的高分辨率图像表示,产生具有降低的噪声伪像的磁心(MCG)系统。 高分辨率图像表示是通过使用已经使用理想的,无噪声的高分辨率图像库训练的PCA模型来创建的。 然后,使用Biot-Sarvart定律创建当前脉冲的3D模型,给定高分辨率图像表示。 从3D电流脉冲模型,合成理想的传感器单元测量,如使用观察3D电流脉冲模型的理论传感器单元所获得的。
    • 25. 发明申请
    • ROBUST SPARSE IMAGE MATCHING FOR ROBOTIC SURGERY
    • 用于机器人手术的稳健的SPARSE图像匹配
    • US20100166323A1
    • 2010-07-01
    • US12465029
    • 2009-05-13
    • Wenyi ZhaoChenyu WuDavid HirvonenTao ZhaoBrian D. HoffmanSimon Dimaio
    • Wenyi ZhaoChenyu WuDavid HirvonenTao ZhaoBrian D. HoffmanSimon Dimaio
    • G06K9/68
    • G06K9/6211G06T7/33
    • Systems, methods, and devices are used to match images. Points of interest from a first image are identified for matching to a second image. In response to the identified points of interest, regions and features can be identified and used to match the points of interest to a corresponding second image or second series of images. Regions can be used to match the points of interest when regions of the first image are matched to the second image with high confidence scores, for example above a threshold. Features of the first image can be matched to the second image, and these matched features may be used to match the points of interest to the second image, for example when the confidence scores for the regions are below the threshold value. Constraint can be used to evaluate the matched points of interest, for example by excluding bad points.
    • 系统,方法和设备用于匹配图像。 识别来自第一图像的兴趣点以匹配第二图像。 响应于所识别的兴趣点,区域和特征可被识别并用于将感兴趣点与对应的第二图像或第二系列图像相匹配。 当第一图像的区域与具有高置信度得分的第二图像匹配时,例如高于阈值,可以使用区域来匹配感兴趣点。 第一图像的特征可以匹配第二图像,并且这些匹配的特征可以用于将感兴趣的点与第二图像匹配,例如当区域的置信度得分低于阈值时。 约束可用于评估匹配的兴趣点,例如排除不良点。