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31. 发明申请

US20060078181A1 Image compounding based on independent noise constraint 失效
公开(公告)号：US20060078181A1
公开(公告)日：2006-04-13
申请号：US11229106
申请日：2005-09-16
申请人： Yunqiang Chen , Hongcheng Wang , Tong Fang , Jason Tyan
发明人： Yunqiang Chen , Hongcheng Wang , Tong Fang , Jason Tyan
IPC分类号： G06K9/00
CPC分类号： G06T5/002 , G06T5/50 , G06T2207/10081 , G06T2207/10132 , G06T2207/20076 , G06T2207/20192 , G06T2207/30004
摘要： A method and system for improving image quality by compounding a plurality of images to mitigate the effects of image noise. The method utilizes the independency between noise components for multiple image compounding. An effective measurement is designed to regularize the independency between noise in a traditional generative model based filtering framework, thereby enabling a more robust algorithmic solution to inaccurate signal/noise modeling. The method generally comprises selecting a plurality of images, calculating the residual error on each image; calculating the noise likelihood of each image, calculating the signal likelihood of the image, performing an independence analysis to regularize an independence constraint between the residual errors of the images, and summing the signal likelihood, noise likelihood and pairwise independency to approximate the joint independency between the residual errors.

32. 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。

33. 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。

34. 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。

35. 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。

36. 发明申请

US20070147682A1 System and Method For Feature Detection In Image Sequences 审中-公开
标题翻译：图像序列中特征检测的系统和方法
公开(公告)号：US20070147682A1
公开(公告)日：2007-06-28
申请号：US11566353
申请日：2006-12-04
申请人： Ti-chiun Chang , Tong Fang , Jason Tyan , Yunqiang Chen
发明人： Ti-chiun Chang , Tong Fang , Jason Tyan , Yunqiang Chen
IPC分类号： G06K9/46
CPC分类号： G06K9/52 , G06T7/246 , G06T2207/30004
摘要： A method for processing image data includes inputting image data, determining a plurality of quadrature filter pairs based on filter parameter values to detect features of interest in the image data, applying the quadrature filter pairs to the image data to obtain a set of filter responses, and processing the filter responses to obtain the features of interest in the image data.
摘要翻译：一种处理图像数据的方法包括输入图像数据，基于滤波器参数值确定多个正交滤波器对，以检测图像数据中感兴趣的特征，将正交滤波器对应用于图像数据以获得一组滤波器响应，并处理滤波器响应以获得图像数据中感兴趣的特征。

37. 发明申请

US20070140582A1 Systems and Methods For Reducing Noise In Image Sequences 审中-公开
标题翻译：降低图像序列噪声的系统和方法
公开(公告)号：US20070140582A1
公开(公告)日：2007-06-21
申请号：US11539212
申请日：2006-10-06
申请人： Yunqiang Chen , Chunxiao Zhou , Tong Fang , Jason Tyan
发明人： Yunqiang Chen , Chunxiao Zhou , Tong Fang , Jason Tyan
IPC分类号： G06K9/40
CPC分类号： G06T5/002 , G06T5/20 , G06T5/50 , G06T7/20 , G06T2207/10016 , G06T2207/10116 , G06T2207/20012 , G06T2207/20182 , G06T2207/20192 , G06T2207/30004
摘要： A method for reducing noise in an image sequence includes: detecting structures in an image sequence; estimating lighting changes in the image sequence and compensating for the estimated lighting changes; detecting moving structures in the image sequence using the detected structures after compensating for the estimated lighting changes in the image sequence; and adaptively filtering imaging noise in the image sequence.
摘要翻译：一种用于降低图像序列中的噪声的方法包括：检测图像序列中的结构; 估计图像序列中的照明变化并补偿估计的照明变化; 在补偿图像序列中的估计的照明变化之后，使用检测到的结构来检测图像序列中的移动结构; 并自适应地过滤图像序列中的成像噪声。

38. 发明申请

US20060072844A1 Gradient-based image restoration and enhancement 失效
公开(公告)号：US20060072844A1
公开(公告)日：2006-04-06
申请号：US11231435
申请日：2005-09-20
申请人： Hongcheng Wang , Yunqiang Chen , Tong Fang , Jason Tyan
发明人： Hongcheng Wang , Yunqiang Chen , Tong Fang , Jason 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.

39. 发明授权

US08094904B2 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：US08094904B2
公开(公告)日：2012-01-10
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）。

40. 发明申请

US20100092061A1 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：US20100092061A1
公开(公告)日：2010-04-15
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
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。

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