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1. 发明授权

US08355555B2 System and method for multi-image based virtual non-contrast image enhancement for dual source CT 有权
标题翻译：用于双源CT的基于多图像的虚拟非对比度图像增强的系统和方法
公开(公告)号：US08355555B2
公开(公告)日：2013-01-15
申请号：US12854341
申请日：2010-08-11
申请人： Yunqiang Chen , Tong Fang , Bernhard Schmidt , Rainer Raupach
发明人： Yunqiang Chen , Tong Fang , Bernhard Schmidt , Rainer Raupach
IPC分类号： G06K9/00
CPC分类号： G06T5/002 , G06T5/50 , G06T2207/10072 , G06T2207/20076 , G06T2207/20192 , G06T2207/30004 , G06T2207/30016
摘要： A method for enhancing a virtual non-contrast image, includes receiving a pair of dual scan CT images and calculating a virtual non-contrast image from the pair of CT images using known tissue attenuation coefficients. A conditional probability distribution is estimated for tissue at first and second points in each of the pair of CT images and the virtual non-contrast image as being the same type. A conditional probability distribution for tissue is estimated at the first and second points in each of the pair of CT images and the virtual non-contrast image as being of different types. An a posteriori probability of the tissue at the first and second points as being the same type is calculated from the conditional probability distributions, and an enhanced virtual non-contrast image is calculated using the a posteriori probability of the tissue at the first and second points as being the same type.
摘要翻译：一种用于增强虚拟非对比度图像的方法，包括接收一对双扫描CT图像，并使用已知的组织衰减系数从所述一对CT图像计算虚拟非对比度图像。对于一对CT图像和虚拟非对比度图像中的每一个中的第一和第二点处的组织估计为相同类型的条件概率分布。在一对CT图像和虚拟非对比度图像中的每一个中的第一和第二点处估计组织的条件概率分布为不同类型。根据条件概率分布计算第一和第二点处的组织作为相同类型的后验概率，并且使用在第一和第二点处的组织的后验概率来计算增强的虚拟非对比度图像作为同一类型。

2. 发明授权

US08139891B2 System and method for structure enhancement and noise reduction in medical images 失效
标题翻译：医学图像中结构增强和降噪的系统和方法
公开(公告)号：US08139891B2
公开(公告)日：2012-03-20
申请号：US11926877
申请日：2007-10-29
申请人： Ti-chiun Chang , Yunqiang Chen , Tong Fang , Jason Jenn-Kwei Tyan , Gregory G. Slabaugh
发明人： Ti-chiun Chang , Yunqiang Chen , Tong Fang , Jason Jenn-Kwei Tyan , Gregory G. Slabaugh
IPC分类号： G06K9/46 , G06K9/66 , G06K9/40 , G06K9/64 , G06K9/36 , G06K9/20 , G06K1/00 , H04N5/228 , H04N7/01 , H04N11/20 , H04N1/40 , G06F15/00 , G03F3/08
CPC分类号： G06K9/40 , G06T5/002 , G06T5/008 , G06T5/20 , G06T2207/10072 , G06T2207/20016 , G06T2207/20028 , G06T2207/30101
摘要： A method and system for structure enhancement and noise reduction of medical images using adaptive filtering is disclosed. The method utilizes feature estimation methods to determine multiple feature values for each pixel in an input image. Each pixel is then filtered using a filter type selected based on the feature values for that pixel.
摘要翻译：公开了一种使用自适应滤波的医学图像的结构增强和降噪的方法和系统。该方法利用特征估计方法来确定输入图像中每个像素的多个特征值。然后使用基于该像素的特征值选择的滤波器类型来过滤每个像素。

3. 发明授权

US08073191B2 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：US08073191B2
公开(公告)日：2011-12-06
申请号：US12283357
申请日：2008-09-11
申请人： Ti-chiun Chang , Yunqiang Chen , Tong Fang , Sandra Martin , Stefan Böhm , Peter Durlak
发明人： Ti-chiun Chang , Yunqiang Chen , Tong Fang , Sandra Martin , Stefan Böhm , 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。

4. 发明授权

US07961925B2 Method and system for dual energy image registration 有权
标题翻译：双能量图像配准方法与系统
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。

5. 发明申请

US20110103674A1 MARKER DETECTION IN X-RAY IMAGES 失效
标题翻译： X射线图像中的标记检测
公开(公告)号：US20110103674A1
公开(公告)日：2011-05-05
申请号：US12898018
申请日：2010-10-05
申请人： Ti-chiun Chang , Yunqiang Chen , Michelle xiaohong Yan , Tong Fang
发明人： Ti-chiun Chang , Yunqiang Chen , Michelle xiaohong Yan , Tong Fang
IPC分类号： G06K9/00
CPC分类号： G06K9/00 , G06K2209/057 , G06T7/73 , G06T2207/10016 , G06T2207/10121 , G06T2207/30004 , G06T2207/30204
摘要： A method for detecting markers within X-ray images includes applying directional filters to a sequence of X-ray image frames. Marker candidate pixels are determined based on the output of the directional filters. Candidate pixels are grouped into clusters and distances between each possible pair of clusters is determined and the most frequently occurring distance is considered an estimated distance between markers. A first marker is detected at the cluster that most closely resembles a marker based on certain criteria and a second marker is then detected at a cluster that is the estimated distance from the first marker. The pair of first and second marker detections is scored to determine detection quality. If the detected marker pair has an acceptable score then the detected marker pair is used.
摘要翻译：用于检测X射线图像内的标记的方法包括对X射线图像帧序列应用方向滤波器。基于方向滤波器的输出来确定标记候选像素。候选像素被分组成簇，并且确定每个可能的一对簇之间的距离，并且将最常发生的距离视为标记之间的估计距离。基于某些标准，在最接近类似于标记的群集处检测到第一标记，然后在作为距离第一标记的估计距离的群集处检测到第二标记。对一对第一和第二标记检测进行评分以确定检测质量。如果检测到的标记对具有可接受的分数，则使用检测到的标记对。

6. 发明授权

US07684643B2 Mutual information regularized Bayesian framework for multiple image restoration 失效
标题翻译：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
IPC分类号： H04N1/38 , G06K9/40 , G06K9/62 , H03M7/00 , G06F19/00
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。

7. 发明申请

US20110064285A1 SYSTEM AND METHOD FOR MULTI-IMAGE BASED STENT VISIBILITY ENHANCEMENT 有权
标题翻译：用于基于多图像的视觉可视性增强的系统和方法
公开(公告)号：US20110064285A1
公开(公告)日：2011-03-17
申请号：US12846273
申请日：2010-07-29
申请人： Yunqiang Chen , Ti-chiun Chang , Michelle Xiaohong Yan , Tong Fang , Thomas Pohl , Stefan Böhm , Peter Durlak , Markus Roßmeier
发明人： Yunqiang Chen , Ti-chiun Chang , Michelle Xiaohong Yan , Tong Fang , Thomas Pohl , Stefan Böhm , Peter Durlak , Markus Roßmeier
IPC分类号： G06K9/00
CPC分类号： G06K9/6206 , G06K2209/057 , G06T5/001 , G06T5/20 , G06T5/50 , G06T2207/10016 , G06T2207/10121 , G06T2207/30101
摘要： A method for enhancing stent visibility in digital medical images includes providing a time series of 2-dimensional (2D) images of a stent in a vessel, estimating motion of the stent in a subset of images of the time series of images, estimating motion of clutter in the subset of images, where clutter comprises anatomical structures other than the stent, estimating a clutter layer in the subset of images from the estimated clutter motion, estimating a stent layer in the subset of images from the clutter layer and the estimated clutter motion, and minimizing a functional of the estimated stent motion, the estimated stent layer, the estimated clutter motion, and the estimated clutter layer to in calculate a refined stent layer image, where the refined stent layer image has enhanced visibility of the stent.
摘要翻译：一种用于增强数字医学图像中的支架可视性的方法包括在血管中提供支架的二维（2D）图像的时间序列，估计支架在时间序列图像的图像的子集中的运动，估计运动在图像子集中混乱，其中杂波包括除了支架之外的解剖结构，从估计的杂波运动估计图像子集中的杂波层，估计来自杂波层的图像子集中的支架层和估计的杂波运动并且在计算精制的支架层图像时，将精确的支架层图像具有增强的支架的可视性，并且将估计的支架运动，估计的支架层，估计的杂波运动和估计的杂波层的功能最小化。

8. 发明申请

US20080112649A1 Method and System for Dual Energy Image Registration 有权
标题翻译：双能量图像配准方法与系统
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。

9. 发明申请

US20070206880A1 Coupled Bayesian Framework For Dual Energy Image Registration 审中-公开
标题翻译：耦合贝叶斯框架双能量图像注册
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
IPC分类号： G06K9/32 , G06K9/00
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。

10. 发明申请

US20060087703A1 Mutual information regularized Bayesian framework for multiple image restoration 失效
标题翻译：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：US20060087703A1
公开(公告)日：2006-04-27
申请号：US11252334
申请日：2005-10-17
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： H04N1/38
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。

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