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21. 发明授权

US07783096B2 Device systems and methods for imaging 有权
标题翻译：用于成像的设备系统和方法
公开(公告)号：US07783096B2
公开(公告)日：2010-08-24
申请号：US11675258
申请日：2007-02-15
申请人： Yunqiang Chen , Hao Wu , Tong Fang
发明人： Yunqiang Chen , Hao Wu , Tong Fang
IPC分类号： G06K9/00
CPC分类号： A61B6/00 , A61B6/482 , G01N2223/206 , G01N2223/423 , G06T7/207 , G06T2207/20016 , G06T2207/30008
摘要： Certain exemplary embodiments comprise a method, which can comprise determining an image of a predetermined physiological structure of a patient. The image can be determined based upon a first set of image data of the predetermined physiological structure of the patient. The image can be based upon a second set of image data of the predetermined physiological structure of the patient. The image can be determined based upon an iteratively adjusted movement of the patient.
摘要翻译：某些示例性实施例包括可以包括确定患者的预定生理结构的图像的方法。可以基于患者的预定生理结构的第一组图像数据来确定图像。图像可以基于患者的预定生理结构的第二组图像数据。可以基于患者的迭代调整的运动来确定图像。

22. 发明申请

US20090116722A1 Method and system for soft tissue image reconstruction in gradient domain 审中-公开
标题翻译：梯度域软组织图像重建方法与系统
公开(公告)号：US20090116722A1
公开(公告)日：2009-05-07
申请号：US12287551
申请日：2008-10-10
申请人： Yunqiang Chen , Tong Fang
发明人： Yunqiang Chen , Tong Fang
IPC分类号： H05G1/64 , G06K9/00
CPC分类号： G06T11/008 , G06T5/005 , G06T2207/20016
摘要： A method and system for soft tissue image reconstruction for dual x-ray imaging is disclosed. A multigrid PDE solver is used for solving a Poisson equation for soft tissue image reconstruction based on a soft tissue gradient field extracted from dual energy x-ray images. The divergence of the soft tissue gradient field is downsampled to a coarsest resolution level, and a soft tissue image is generated based on the divergence of the soft tissue gradient field at the coarsest level. The soft tissue image is interpolated to a next finest resolution level, and refined by at least one coarse grid correction cycle at the current resolution level. The coarse grid correction cycle calculates a defect based on the current soft tissue image, downsamples the defect to the coarsest level, calculates a correction based on the defect at the coarsest level, and upsamples the correction to the current resolution level to refine the current soft tissue image. The interpolation and refinement of the soft tissue image is repeated until the soft tissue image is refined at the finest resolution level.
摘要翻译：公开了一种用于双重X射线成像的软组织图像重建的方法和系统。基于从双能量x射线图像提取的软组织梯度场，多重PDE求解器用于求解软组织图像重建的泊松方程。软组织梯度场的发散度被下采样到最粗分辨率水平，并且基于最粗糙度级别的软组织梯度场的发散度产生软组织图像。将软组织图像插值到下一个最佳分辨率级别，并通过至少一个粗网格校正周期以当前分辨率级别进行细化。粗网格校正周期基于当前软组织图像计算缺陷，将缺陷下采样到最粗水平，基于最粗糙级别的缺陷计算校正，并将校正上采样到当前分辨率水平以细化当前软组织图像重复软组织图像的插值和细化，直到软组织图像以最好的分辨率水平被精炼。

23. 发明申请

US20090087070A1 Method and system for bone suppression based on a single x-ray image 失效
标题翻译：基于单个X射线图像的骨抑制方法和系统
公开(公告)号：US20090087070A1
公开(公告)日：2009-04-02
申请号：US12283441
申请日：2008-09-12
申请人： Gregory G. Slabaugh , Tong Fang , Kooksang Moon , Yunqiang Chen
发明人： Gregory G. Slabaugh , Tong Fang , Kooksang Moon , Yunqiang Chen
IPC分类号： G06K9/00
CPC分类号： G06T5/002 , G06T5/005 , G06T5/20 , G06T2207/10116 , G06T2207/20064 , G06T2207/20076 , G06T2207/20081 , G06T2207/30008 , G06T2207/30064
摘要： A method and system for suppressing bone structures based on a single x-ray image is disclosed. The bone structure suppressing method predicts a soft-tissue image without bone structures from an input x-ray image. A set of features is extracted for each pixel of the input x-ray image. A soft-tissue image is then generated from the input x-ray image using a trained regression function to determine an intensity value for the soft-tissue image corresponding to each pixel of the input x-ray image based on the set of features extracted for each pixel of the input x-ray image. The extracted features can be wavelet features and the regression function can be trained using Bayesian Committee Machine (BCM) to approximate Gaussian process regression (GPR).
摘要翻译：公开了一种基于单个X射线图像来抑制骨骼结构的方法和系统。骨结构抑制方法从输入的X射线图像预测没有骨结构的软组织图像。为输入x射线图像的每个像素提取一组特征。然后使用训练回归函数从输入的X射线图像生成软组织图像，以基于为输入x射线图像的每个像素。提取的特征可以是小波特征，并且可以使用贝叶斯委员会机器（BCM）来训练回归函数来近似高斯过程回归（GPR）。

24. 发明申请

US20090080756A1 Method and system for correcting butting artifacts in X-ray images 有权
标题翻译：用于校正X射线图像中的伪像的方法和系统
公开(公告)号：US20090080756A1
公开(公告)日：2009-03-26
申请号：US12283357
申请日：2008-09-11
申请人： Ti-chiun Chang , Yunqiang Chen , Tong Fang , Sandra Martin , Stefan Bohm , Peter Durlak
发明人： Ti-chiun Chang , Yunqiang Chen , Tong Fang , Sandra Martin , Stefan Bohm , Peter Durlak
IPC分类号： G06K9/00
CPC分类号： G06K9/346 , G06K2209/05 , G06T5/005 , G06T5/20 , G06T2207/10116 , G06T2207/20012 , G06T2207/20076 , G06T2207/30004
摘要： A method and system for correcting butting artifacts in x-ray images is disclosed. In order to correct a butting artifact in an x-ray image, a butting artifact region in the x-ray image is normalized. Multiple intensity shift estimators are calculated for each pixel of each line of the butting artifact. Confidence intervals are calculated for each intensity shift estimator. A multiple hypothesis hidden Markov model (MH-HMM) is formulated based on the intensity shift operators and confidence measures subject to a smoothness constraint, and the MH-HMM is solved to determine intensity shift values for each pixel. A corrected image is generated by adjusting the intensity of each pixel of the butting artifact based on the intensity shift value for that pixel.
摘要翻译：公开了一种用于校正X射线图像中的伪像的方法和系统。为了校正X射线图像中的对接伪影，对x射线图像中的对接伪影区域进行归一化。针对对接工件的每一行的每个像素计算多个强度偏移估计量。为每个强度偏移估计器计算置信区间。基于强度偏移算子和基于平滑度约束的置信度度度，制定了多重假设隐马尔可夫模型（MH-HMM），并求解了MH-HMM，以确定每个像素的强度偏移值。通过基于该像素的强度偏移值调整对接伪影的每个像素的强度来生成校正图像。

25. 发明申请

US20070196007A1 Device Systems and Methods for Imaging 有权
标题翻译：设备系统和成像方法
公开(公告)号：US20070196007A1
公开(公告)日：2007-08-23
申请号：US11675258
申请日：2007-02-15
申请人： Yunqiang Chen , Hao Wu , Tong Fang
发明人： Yunqiang Chen , Hao Wu , Tong Fang
IPC分类号： G06K9/00
CPC分类号： A61B6/00 , A61B6/482 , G01N2223/206 , G01N2223/423 , G06T7/207 , G06T2207/20016 , G06T2207/30008
摘要： Certain exemplary embodiments comprise a method, which can comprise determining an image of a predetermined physiological structure of a patient. The image can be determined based upon a first set of image data of the predetermined physiological structure of the patient. The image can be based upon a second set of image data of the predetermined physiological structure of the patient. The image can be determined based upon an iteratively adjusted movement of the patient.
摘要翻译：某些示例性实施例包括可以包括确定患者的预定生理结构的图像的方法。可以基于患者的预定生理结构的第一组图像数据来确定图像。图像可以基于患者的预定生理结构的第二组图像数据。可以基于患者的迭代调整的运动来确定图像。

26. 发明授权

US08355557B2 System and method for decomposed temporal filtering for X-ray guided intervention application 有权
标题翻译：用于X射线引导干预应用的分解时间滤波的系统和方法
公开(公告)号：US08355557B2
公开(公告)日：2013-01-15
申请号：US12571487
申请日：2009-10-01
申请人： Yunqiang Chen , Ti-chiun Chang , Tong Fang , Sandra Knoth , Stefan Böhm , Peter Durlak
发明人： Yunqiang Chen , Ti-chiun Chang , Tong Fang , Sandra Knoth , Stefan Böhm , Peter Durlak
IPC分类号： G06K9/00 , A61B6/02 , A61B6/00
CPC分类号： G06T5/50 , G06T2207/20224 , G06T2207/30041 , G06T2207/30101
摘要： A method for temporally filtering medical images during a fluoroscopy guided intervention procedure includes providing a mask image, a fluoroscopy intervention image acquired at a current time during a medical intervention procedure, forming a subtraction image by subtracting the mask image from the intervention image, calculating a motion image of a moving structure in the subtraction image, forming a residual image by subtracting the motion image from the subtraction image, temporally filtering the residual image with a filtered image from a previous time, and adding the motion image to the temporally filtered residual image.
摘要翻译：一种在荧光透视引导介入手术过程中对医学图像进行临时过滤的方法包括提供掩模图像，在医疗介入过程中当前时间获取的荧光透视干预图像，通过从干预图像中减去掩模图像形成减影图像，在减法图像中的运动结构的运动图像，通过从减法图像中减去运动图像形成残差图像，并用先前时间用滤波图像对剩余图像进行时间滤波，并将运动图像与时间滤波残差图像相加。

27. 发明授权

US08244020B2 Method and system for intelligent digital subtraction 有权
标题翻译：智能数字减法方法与系统
公开(公告)号：US08244020B2
公开(公告)日：2012-08-14
申请号：US12286992
申请日：2008-10-03
申请人： Yunqiang Chen , Tong Fang , Sandra Martin , Stefan Boehm , Peter Durlak
发明人： Yunqiang Chen , Tong Fang , Sandra Martin , Stefan Boehm , Peter Durlak
IPC分类号： G06K9/40 , G06K9/60 , G06T5/50 , G01N23/083
CPC分类号： A61B6/504 , A61B6/481 , A61B6/482 , G06K2009/00932
摘要： A method and system for intelligent digital subtraction is disclosed. The method and system for intelligent digital subtraction can be used in a roadmap application for a coronary intervention. A mask image is obtained with vessels highlighted by contrast media. A guide wire is inserted into the vessels, and a guide wire image is obtained. A direct subtraction image is generated from the guide wire image and the mask image. A reduced noise subtraction image is generated based on mutual image information between the subtraction image and the guide wire image and mutual image information between the subtraction image and the mask image.
摘要翻译：公开了一种智能数字减法的方法和系统。用于智能数字减法的方法和系统可用于冠状动脉干预的路线图应用。用造影剂强调的血管获得掩模图像。将引导线插入容器中，并获得导丝图像。从引导线图像和掩模图像生成直接减法图像。基于减法图像和引导线图像之间的相互图像信息以及减法图像和掩模图像之间的相互图像信息，生成降噪噪声减影图像。

28. 发明授权

US07672421B2 Reduction of streak artifacts in low dose CT imaging through multi image compounding 有权
标题翻译：通过多图像复合减少低剂量CT成像中的条纹伪影
公开(公告)号：US07672421B2
公开(公告)日：2010-03-02
申请号：US11539665
申请日：2006-10-09
申请人： Yunqiang Chen , Tong Fang
发明人： Yunqiang Chen , Tong Fang
IPC分类号： A61B6/00
CPC分类号： G06T11/005 , A61B6/5258 , G06T2211/421
摘要： Disclosed is a method and system for constructing, from a computerized tomography (CT) scan, an image relating to a physical structure. Projection data associated with the image is obtained and divided into a plurality of subsets. Filtered back projection (FBP) is then applied to each subset in the plurality of subsets. The image is constructed based on the application of the FBP to each subset in the plurality of subsets.
摘要翻译：公开了一种用于从计算机断层摄影（CT）扫描构建与物理结构有关的图像的方法和系统。获取与图像相关联的投影数据并将其分成多个子集。然后将过滤后投影（FBP）应用于多个子集中的每个子集。基于对多个子集中的每个子集的FBP的应用构建图像。

29. 发明授权

US07529422B2 Gradient-based image restoration and enhancement 失效
标题翻译：基于梯度的图像恢复和增强
公开(公告)号：US07529422B2
公开(公告)日：2009-05-05
申请号：US11231435
申请日：2005-09-20
申请人： Hongcheng Wang , Yunqiang Chen , Tong Fang , Jason Jenn-Kwei Tyan
发明人： Hongcheng Wang , Yunqiang Chen , Tong Fang , Jason Jenn-Kwei Tyan
IPC分类号： G06K9/40
CPC分类号： G06K9/40 , G06T5/002 , G06T5/003 , G06T5/20 , G06T2207/20192 , G06T2207/30004
摘要： A gradient-based image enhancement and restoration method and system which applies an orientation-isotropy adaptive filter to the gradients of high structured regions, and directly suppresses the gradients in the noise or texture regions. A new gradient field is obtained from which image reconstruction can progress using least mean squares. The method generally comprises: inputting image data; calculating image gradients; defining the gradients as having large or small coherence; filtering the large coherence gradients for edge enhancement; suppressing the small coherence gradients for noise reduction; assembling an enhanced gradient field from the filtered large coherence and suppressed small coherence gradients; and optimizing the assembled gradient field into a restored image.
摘要翻译：一种基于梯度的图像增强和恢复方法和系统，其对高结构区域的梯度应用方向 - 各向同性自适应滤波器，并且直接抑制噪声或纹理区域中的梯度。获得一个新的梯度场，从该图像重建可以使用最小均方进行。该方法通常包括：输入图像数据; 计算图像梯度; 将梯度定义为具有大或小的一致性; 过滤大的相干梯度进行边缘增强; 抑制噪声降低的小相干梯度; 从滤波后的大相干和抑制小相干梯度组装增强梯度场; 并将组装的梯度场优化为恢复的图像。

30. 发明申请

US20080267474A1 Layer Reconstruction From Dual-Energy Image Pairs 有权
标题翻译：双能图像对层重建
公开(公告)号：US20080267474A1
公开(公告)日：2008-10-30
申请号：US12101487
申请日：2008-04-11
申请人： Yunqiang Chen , Tong Fang
发明人： Yunqiang Chen , Tong Fang
IPC分类号： G06K9/00
CPC分类号： G06T5/50 , G06T5/005 , G06T7/33 , G06T2207/10116 , G06T2207/10144 , G06T2207/30004
摘要： A system and method for layer reconstruction from dual-energy image pairs are provided, the method including: receiving a pair of dual-energy images, one having a relatively high energy dose and the other having a relatively low energy dose; ascertaining that a first relatively motionless layer is substantially aligned between the high and low dose images; computing a preliminary image of a second layer that has non-rigid motion relative to the first layer; detecting the relative motion of the second layer relative to the first layer; generating a mask in accordance with the detected motion; filling the motion area corresponding to the mask with gradients of the high-dose image; removing the first layer; and inpainting the motion area.
摘要翻译：提供了一种用于从双能量图像对进行层重构的系统和方法，所述方法包括：接收一对双能量图像，一个具有相对较高的能量剂量，另一个具有相对低的能量剂量; 确定第一相对静止层基本上在高剂量图像和低剂量图像之间对准; 计算相对于第一层具有非刚性运动的第二层的初步图像; 检测第二层相对于第一层的相对运动; 根据检测到的运动产生掩模; 用高剂量图像的梯度填充对应于掩模的运动区域; 去除第一层; 并修复运动区域。

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