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1. 发明授权

US09089274B2 Denoise MCG measurements 有权
标题翻译：去噪MCG测量
公开(公告)号：US09089274B2
公开(公告)日：2015-07-28
申请号：US13239997
申请日：2011-09-22
申请人： Chenyu Wu , Jing Xiao
发明人： Chenyu Wu , Jing Xiao
IPC分类号： A61B5/05 , A61B5/00 , A61B5/04
CPC分类号： A61B5/0044 , A61B5/04005 , A61B5/04007 , A61B5/05 , A61B2562/046
摘要： 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.
摘要翻译：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。

2. 发明申请

US20130317337A1 Continuous Modeling for Dipole Localization from 2D MCG Images with Unknown Depth 有权
标题翻译：从未知深度的二维MCG图像连续建模偶极定位
公开(公告)号：US20130317337A1
公开(公告)日：2013-11-28
申请号：US13478682
申请日：2012-05-23
申请人： Chenyu Wu , Jing Xiao
发明人： Chenyu Wu , Jing Xiao
IPC分类号： A61B5/05
CPC分类号： A61B5/05 , A61B5/04007 , A61B5/04008 , A61B2576/023
摘要： A system identifies double-layer dipoles in a magnetic image by defining two-dimensional patches of distributed point charges that simulate the double-layer dipoles. The geometric center of a two-dimensional patch is used as the location of an equivalent dipole moment of the double-layer dipole. The momentum of the equivalent dipole moment is determined by submitting the magnetic image to a dipole construction system that identifies the location and momentum based on the submitted magnetic image.
摘要翻译：系统通过定义模拟双层偶极子的分布点电荷的二维贴片来识别磁图像中的双层偶极子。使用二维贴片的几何中心作为双层偶极子的等效偶极矩的位置。通过将磁图像提交到基于提交的磁图像识别位置和动量的偶极构造系统来确定等效偶极矩的动量。

3. 发明申请

US20120219195A1 3D Current Reconstruction From 2D Dense MCG Images 有权
标题翻译： 2D密集MCG图像的3D当前重建
公开(公告)号：US20120219195A1
公开(公告)日：2012-08-30
申请号：US13300353
申请日：2011-11-18
申请人： Chenyu Wu , Jing Xiao
发明人： Chenyu Wu , Jing Xiao
IPC分类号： G06K9/00
CPC分类号： A61B5/04007 , G06K9/0057
摘要： A current dipole is determined by solving the inverse problem multiple times in consecutive stages. At each stage, a new high resolution image is generated from a magnetic field map from the immediately previous stage, and at each stage more constraints are extracted from the current high resolution image than were available in the immediately previous stage. After the constraints are extracted from a current high resolution image, the current high resolution is updated to incorporate constraints from the immediately previous stage. The updated high resolution image, and the currently extracted constraints are used to resolve the inverse problem, and the Biot-Savart law is used to calculated the current dipole.
摘要翻译：通过在连续的阶段多次求解反问题来确定电流偶极子。在每个阶段，从紧接的前一阶段的磁场图生成新的高分辨率图像，并且在每个阶段，从当前的高分辨率图像中提取比在紧接的前一阶段可用的更多约束。在从当前的高分辨率图像提取约束之后，更新当前的高分辨率以包含来自紧接的前一阶段的约束。更新的高分辨率图像和当前提取的约束被用于解决逆问题，并且使用Biot-Savart定律来计算当前偶极子。

4. 发明授权

US07227993B2 Learning-based system and process for synthesizing cursive handwriting 有权
标题翻译：基于学习的系统和合成草书手写的过程
公开(公告)号：US07227993B2
公开(公告)日：2007-06-05
申请号：US10353102
申请日：2003-01-27
申请人： Ying-Qing Xu , Heung-Yeung Shum , Jue Wang , Chenyu Wu
发明人： Ying-Qing Xu , Heung-Yeung Shum , Jue Wang , Chenyu Wu
IPC分类号： G06K9/34 , G06K9/18 , G06K9/00 , G06K9/46
CPC分类号： G06F3/04883 , G06K9/222 , G06T11/203
摘要： A process and system for modeling, learning and synthesizing cursive handwriting in a user's personal handwriting style. The handwriting synthesis system and process described herein addresses the problem of learning the personal handwriting style of a user based on limited handwriting samples and producing novel scripts of the same style. The handwriting synthesis process includes segmenting handwriting samples into individual characters using a two-level writer-independent segmentation process, aligning samples of the same character into a common coordinate frame, and learning and modeling the individual character. Synthesis of handwriting is performed by generating individual letters from the models and concatenating the letters using a conditional sampling algorithm. The result is a smooth and fluid connection between letters that successfully mimics the personal handwriting style of a user.
摘要翻译：一种在用户个人手写风格中建模，学习和综合草书手写的过程和系统。本文描述的手写合成系统和过程解决了基于有限的手写样本学习用户的个人手写风格并产生相同风格的新颖的脚本的问题。手写合成过程包括使用两级写入器独立分割处理将手写样本分割成单个字符，将相同字符的样本对齐到公共坐标系中，并且学习和建模个体角色。通过从模型生成单个字母并使用条件抽样算法连接字母来执行手写的合成。结果是成功模仿用户个人手写风格的字母之间平滑流畅的连接。

5. 发明授权

US08639000B2 Robust sparse image matching for robotic surgery 有权
标题翻译：用于机器人手术的鲁棒稀疏图像匹配
公开(公告)号：US08639000B2
公开(公告)日：2014-01-28
申请号：US13454297
申请日：2012-04-24
申请人： Wenyi Zhao , Chenyu Wu , David Hirvonen , Tao Zhao , Brian D. Hoffman , Simon Di Maio
发明人： Wenyi Zhao , Chenyu Wu , David Hirvonen , Tao Zhao , Brian D. Hoffman , Simon Di Maio
IPC分类号： G06T7/00
CPC分类号： G06K9/6211 , G06T7/33
摘要： 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.
摘要翻译：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。

6. 发明授权

US08406848B2 Reconstructing three-dimensional current sources from magnetic sensor data 有权
标题翻译：从磁传感器数据重建三维电流源
公开(公告)号：US08406848B2
公开(公告)日：2013-03-26
申请号：US12574581
申请日：2009-10-06
申请人： Chenyu Wu , Jing Xiao
发明人： Chenyu Wu , Jing Xiao
IPC分类号： A61B5/0484
CPC分类号： A61B5/05 , A61B5/04007 , A61B5/04008 , A61B5/04011 , G06T11/206
摘要： Magnetic source imaging (MSI) involves the reconstruction of the current sources in a portion of a body, such as an organ, from measured magnetic field data. The measured magnetic field data may be from one-dimensional or three-dimensional sensors. Aspects of the present invention include systems and methods for reconstructing the electrical current of an organ given magnetic data. In embodiments, reconstruction of three-dimensional current sources is accomplished knowing or estimating the position, or offset, of the sensor plane with respect to the patient in order to form a set of linear equations. Alternatively, reconstruction of three-dimensional current sources is accomplished without knowing the offset of the sensor plane with respect to the patient. In embodiments, the linear and nonlinear systems of equations are iteratively used to obtain the current source information. In embodiments, multi-scale strategies are employed.
摘要翻译：磁源成像（MSI）涉及从测量的磁场数据重建身体（例如器官）的一部分中的电流源。测量的磁场数据可以来自一维或三维传感器。本发明的方面包括用于重建给定磁数据的器官的电流的系统和方法。在实施例中，知道或估计传感器平面相对于患者的位置或偏移来完成三维电流源的重建，以便形成一组线性方程式。或者，在不知道传感器平面相对于患者的偏移的情况下，完成三维电流源的重建。在实施例中，迭代地使用线性和非线性方程组来获得当前源信息。在实施例中，采用多尺度策略。

7. 发明申请

US20120237095A1 ROBUST SPARSE IMAGE MATCHING FOR ROBOTIC SURGERY 有权
标题翻译：用于机器人手术的稳健的SPARSE图像匹配
公开(公告)号：US20120237095A1
公开(公告)日：2012-09-20
申请号：US13454297
申请日：2012-04-24
申请人： WENYI ZHAO , CHENYU WU , DAVID HIRVONEN , TAO ZHAO , BRIAN D. HOFFMAN , SIMON DIMAIO
发明人： WENYI ZHAO , CHENYU WU , DAVID HIRVONEN , TAO ZHAO , BRIAN D. HOFFMAN , SIMON DIMAIO
IPC分类号： G06K9/00
CPC分类号： G06K9/6211 , G06T7/33
摘要： 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.
摘要翻译：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。

8. 发明授权

US10068334B2 Reconstruction of images from an in vivo multi-camera capsule 有权
公开(公告)号：US10068334B2
公开(公告)日：2018-09-04
申请号：US14775711
申请日：2014-05-19
申请人： CAPSO VISION, INC. , Kang-Huai Wang , Chenyu Wu
发明人： Kang-Huai Wang , Chenyu Wu
IPC分类号： H04N9/47 , H04N7/18 , G06T7/00 , A61B1/00 , A61B1/04 , G06T11/60 , H04N5/225 , H04N5/232 , H04N5/247 , H04N5/265 , G06T5/00 , G06T7/73 , G06T7/13 , G06T7/40 , G06T7/33 , G06T7/37 , G06T7/11 , G06T7/174 , G06T7/136
摘要： Method and apparatus of reconstruction of images from an in vivo multi-camera capsule are disclosed. In one embodiment of the present invention, the capsule comprises two cameras with overlapped fields of view (FOVs). Intra-image based pose estimation is applied to the sub-images associated with the overlapped area to improve the pose estimation for the capsule device. In another embodiment, two images corresponding to the two FOVs are fused by using disparity-adjusted, linear weighted sum of the overlapped sub-images. In yet another embodiment, the images from the multi-camera capsule are stitched for time-space representation.

9. 发明申请

US20160037082A1 RECONSTRUCTION OF IMAGES FROM AN IN VIVO MULTI-CAMERA CAPSULE 审中-公开
标题翻译：从VIVO多相机胶囊重建图像
公开(公告)号：US20160037082A1
公开(公告)日：2016-02-04
申请号：US14775711
申请日：2014-05-19
申请人： Kang-Huai WANG , Chenyu WU , CAPSO VISION, INC.
发明人： Kang-Huai Wang , Chenyu Wu
IPC分类号： H04N5/265 , H04N5/232 , H04N5/225 , H04N5/247
CPC分类号： G06T7/0014 , A61B1/00009 , A61B1/041 , G06T5/006 , G06T7/11 , G06T7/13 , G06T7/136 , G06T7/174 , G06T7/337 , G06T7/37 , G06T7/40 , G06T7/73 , G06T11/60 , G06T2207/10068 , G06T2207/20048 , G06T2207/20072 , G06T2207/20081 , G06T2207/20221 , G06T2207/30004 , G06T2207/30028 , G06T2207/30032 , H04N5/2252 , H04N5/23229 , H04N5/247 , H04N5/265
摘要： Method and apparatus of reconstruction of images from an in vivo multi-camera capsule are disclosed. In one embodiment of the present invention, the capsule comprises two cameras with overlapped fields of view (FOVs). Intra-image based pose estimation is applied to the sub-images associated with the overlapped area to improve the pose estimation for the capsule device. In another embodiment, two images corresponding to the two FOVs are fused by using disparity-adjusted, linear weighted sum of the overlapped sub-images. In yet another embodiment, the images from the multi-camera capsule are stitched for time-space representation.
摘要翻译：公开了从体内多摄像机胶囊重建图像的方法和装置。在本发明的一个实施例中，胶囊包括具有重叠视场（FOV）的两个相机。基于图像的姿态估计被应用于与重叠区域相关联的子图像，以改善胶囊装置的姿态估计。在另一实施例中，通过使用重叠子图像的视差调整的线性加权和来融合对应于两个FOV的两个图像。在另一个实施例中，来自多相机胶囊的图像被缝合用于时空表示。

10. 发明授权

US08553956B2 3D current reconstruction from 2D dense MCG images 有权
标题翻译：从2D密集MCG图像的3D电流重建
公开(公告)号：US08553956B2
公开(公告)日：2013-10-08
申请号：US13300353
申请日：2011-11-18
申请人： Chenyu Wu , Jing Xiao
发明人： Chenyu Wu , Jing Xiao
IPC分类号： G06K9/00 , A61B5/05
CPC分类号： A61B5/04007 , G06K9/0057
摘要： A current dipole is determined by solving the inverse problem multiple times in consecutive stages. At each stage, a new high resolution image is generated from a magnetic field map from the immediately previous stage, and at each stage more constraints are extracted from the current high resolution image than were available in the immediately previous stage. After the constraints are extracted from a current high resolution image, the current high resolution is updated to incorporate constraints from the immediately previous stage. The updated high resolution image, and the currently extracted constraints are used to resolve the inverse problem, and the Biot-Savart law is used to calculated the current dipole.
摘要翻译：通过在连续的阶段多次求解反问题来确定电流偶极子。在每个阶段，从紧接的前一阶段的磁场图生成新的高分辨率图像，并且在每个阶段，从当前的高分辨率图像中提取比在紧接的前一阶段可用的更多约束。在从当前的高分辨率图像提取约束之后，更新当前的高分辨率以包含来自紧接的前一阶段的约束。更新的高分辨率图像和当前提取的约束被用于解决逆问题，并且使用Biot-Savart定律来计算当前偶极子。

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