-
公开(公告)号：US07961925B2
公开(公告)日：2011-06-14
申请号：US11934273
申请日：2007-11-02
申请人： Yunqiang Chen , Tong Fang
发明人： Yunqiang Chen , Tong Fang
IPC分类号： G06K9/00
CPC分类号： G06K9/32 , G06K9/6857
摘要： A method and system for dual energy image registration is disclosed. In order to segment first and second images of a dual energy image pair, the first and second images are preprocessed to detect edges in the images. Gaussian pyramids, having multiple pyramid images corresponding to multiple pyramid levels, are generated for the first and second images. An initial optical flow value is initialized for a first pyramid level, and the optical flow value is sequentially updated for each pyramid level based on the corresponding pyramid images using an optimization function having a similarity measure and a regularizer. This results in a final optical flow value between the first and second images, and the first and second images are registered based on the final optical flow value.
摘要翻译： 公开了一种用于双能量图像配准的方法和系统。 为了分割双能量图像对的第一和第二图像，第一和第二图像被预处理以检测图像中的边缘。 对于第一和第二图像，生成具有对应于多个金字塔级别的多个金字塔图像的高斯金字塔。 对于第一金字塔级别初始化初始光流值，并且使用具有相似性度量和正则化器的优化函数，基于相应的金字塔图像，针对每个金字塔级别顺序更新光流值。 这导致第一和第二图像之间的最终光流值，并且基于最终光流值登记第一和第二图像。
-
22.发明授权Mutual information regularized Bayesian framework for multiple image restoration 失效相互信息正则化贝叶斯框架用于多个图像恢复公开(公告)号：US07684643B2
公开(公告)日：2010-03-23
申请号：US11252334
申请日：2005-10-17
申请人： Yunqiang Chen , Hongcheng Wang , Tong Fang , Jason Jenn-Kwei Tyan
发明人： Yunqiang Chen , Hongcheng Wang , Tong Fang , Jason Jenn-Kwei Tyan
CPC分类号： G06T5/002 , G06T5/20 , G06T5/50 , G06T2207/10132 , G06T2207/20076 , G06T2207/20192 , G06T2207/30004
摘要： A method for multiple image restoration includes receiving a plurality of images corrupted by noise, and initializing a reduced noise estimate of the plurality of images. The method further includes estimating a probability of distributions of noise around each pixel and the probability of the signal, estimating mutual information between noise on the plurality of images based on the probabilities of distributions of noise around each pixel and the joint distribution of noise, and updating each pixel within a search range to determine a restored image by reducing the mutual information between the noise on the plurality of images.
摘要翻译： 一种用于多重图像恢复的方法包括：接收由噪声破坏的多个图像，以及初始化所述多个图像的降低的噪声估计。 该方法还包括估计每个像素周围的噪声分布概率和信号的概率，基于每个像素周围的噪声分布的概率和噪声的联合分布来估计多个图像上的噪声之间的相互信息;以及 更新搜索范围内的每个像素以通过减少多个图像上的噪声之间的相互信息来确定恢复的图像。
-
公开(公告)号：US20080112649A1
公开(公告)日：2008-05-15
申请号：US11934273
申请日：2007-11-02
申请人： Yunqiang Chen , Tong Fang
发明人： Yunqiang Chen , Tong Fang
IPC分类号： G06K9/60
CPC分类号： G06K9/32 , G06K9/6857
摘要： A method and system for dual energy image registration is disclosed. In order to segment first and second images of a dual energy image pair, the first and second images are preprocessed to detect edges in the images. Gaussian pyramids, having multiple pyramid images corresponding to multiple pyramid levels, are generated for the first and second images. An initial optical flow value is initialized for a first pyramid level, and the optical flow value is sequentially updated for each pyramid level based on the corresponding pyramid images using an optimization function having a similarity measure and a regularizer. This results in a final optical flow value between the first and second images, and the first and second images are registered based on the final optical flow value.
摘要翻译： 公开了一种用于双能量图像配准的方法和系统。 为了分割双能量图像对的第一和第二图像，第一和第二图像被预处理以检测图像中的边缘。 对于第一和第二图像，生成具有对应于多个金字塔级别的多个金字塔图像的高斯金字塔。 对于第一金字塔级别初始化初始光流值，并且使用具有相似性度量和正则化器的优化函数，基于相应的金字塔图像，针对每个金字塔级别顺序更新光流值。 这导致第一和第二图像之间的最终光流值，并且基于最终光流值登记第一和第二图像。
-
公开(公告)号：US20070206880A1
公开(公告)日：2007-09-06
申请号：US11563815
申请日：2006-11-28
申请人： Yunqiang Chen , Hao Wu , Tong Fang
发明人： Yunqiang Chen , Hao Wu , Tong Fang
CPC分类号： G06K9/00 , G06K9/6206 , G06K2209/05 , G06T7/344
摘要： A computer implemented method for joint image registration and reconstruction of a plurality of images includes providing the plurality of images, modeling the plurality of images, including reconstructing bone and soft-tissue in respective images of the plurality of images, performing a hierarchical free-form registration of models of the plurality of images to determine a jointly registered and reconstructed image with successive accuracy adjustment according to a registration error, and outputting the registered and reconstructed image.
摘要翻译： 用于联合图像配准和重建多个图像的计算机实现方法包括提供多个图像，对多个图像进行建模，包括在多个图像的各个图像中重建骨骼和软组织，执行分层自由形式 登记多个图像的模型，以根据注册错误来确定具有连续精度调整的联合登记和重建图像，并输出注册和重建的图像。
-
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）。
-
公开(公告)号：US07831097B2
公开(公告)日：2010-11-09
申请号：US11682013
申请日：2007-03-05
申请人： Yunqiang Chen , Lin Cheng , Tong Fang , Jason Jenn-Kwei Tyan
发明人： Yunqiang Chen , Lin Cheng , Tong Fang , Jason Jenn-Kwei Tyan
CPC分类号： G01N23/046 , G01N2223/419 , G06T11/006 , G06T2211/421 , G06T2211/424
摘要： A system and method for image reconstruction is disclosed. The method divides iterative image reconstruction into two stages, in the image and Radon space, respectively. In the first stage, filtered back projection and adaptive filtering in the image space are combined to generate a refined reconstructed image of a sinogram residue. This reconstructed image represents an update direction in the image space. In the second stage, the update direction is transformed to the Radon space, and a step size is determined to minimize a difference between the sinogram residue and a Radon transform of the refined reconstructed image of the sinogram residue in the Radon space. These stages are repeated iteratively until the solution converges.
摘要翻译： 公开了一种用于图像重建的系统和方法。 该方法分别在图像和氡空间中将迭代图像重建分为两个阶段。 在第一阶段，滤波反投影和图像空间中的自适应滤波被组合以产生正弦图残差的精细重建图像。 该重建图像表示图像空间中的更新方向。 在第二阶段中，将更新方向转换为Radon空间，并且确定步长以最小化Radon空间中的正弦图残差的精细重建图像的正弦图残差和Radon变换之间的差异。 迭代重复这些阶段，直到解得到收敛。
-
公开(公告)号：US07508968B2
公开(公告)日：2009-03-24
申请号：US11229106
申请日：2005-09-16
申请人： Yunqiang Chen , Hongcheng Wang , Tong Fang , Jason Jenn-Kwei Tyan
发明人： Yunqiang Chen , Hongcheng Wang , Tong Fang , Jason Jenn-Kwei Tyan
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.
摘要翻译： 一种用于通过复合多个图像来减轻图像噪声的影响来提高图像质量的方法和系统。 该方法利用多重图像复合的噪声分量之间的独立性。 设计了一种有效的测量方法来规范传统的基于生成模型的滤波框架中的噪声之间的独立性，从而实现了更为鲁棒的算法解决方案，使信号/噪声建模不准确。 该方法通常包括选择多个图像，计算每个图像上的残差; 计算每个图像的噪声可能性，计算图像的信号可能性，执行独立性分析以使图像的残差误差之间的独立性约束正规化，并且将信号似然性，噪声似然性和成对独立性相加以近似于 剩余错误。
-
28.发明申请Reduction of Streak Artifacts In Low Dose CT Imaging through Multi Image Compounding 有权通过多图像复合减少低剂量CT成像中的条纹伪像公开(公告)号：US20070140407A1
公开(公告)日：2007-06-21
申请号：US11539665
申请日：2006-10-09
申请人： Yunqiang Chen , Tong Fang
发明人： Yunqiang Chen , Tong Fang
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。
-
公开(公告)号：US20070133736A1
公开(公告)日：2007-06-14
申请号：US11548863
申请日：2006-10-12
申请人： Yunqiang Chen , Hao Wu , Tong Fang
发明人： Yunqiang Chen , Hao Wu , Tong Fang
CPC分类号： A61B6/00 , A61B6/482 , A61B6/5258 , G01N2223/206 , G01N2223/423
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。
-
公开(公告)号：US08005288B2
公开(公告)日：2011-08-23
申请号：US12101487
申请日：2008-04-11
申请人： Yunqiang Chen , Tong Fang
发明人： Yunqiang Chen , Tong Fang
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。
-
-
-
-
-
-
-
-
-
搜索结果
56 条记录 (耗时 0.026 秒)
