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1. 发明申请

US20130297331A1 Medical Imaging Guideline Compliance System 审中-公开
标题翻译：医学影像指导合规体系
公开(公告)号：US20130297331A1
公开(公告)日：2013-11-07
申请号：US13756928
申请日：2013-02-01
申请人： Sven Zuehlsdorff , Christopher Glielmi , Ning Jin , Xiaoming Bi , Jens Gühring
发明人： Sven Zuehlsdorff , Christopher Glielmi , Ning Jin , Xiaoming Bi , Jens Gühring
IPC分类号： G06Q40/08 , G06Q50/22
CPC分类号： G06Q40/08 , G06F19/328 , G06Q50/22 , G16H40/20
摘要： A system supports medical imaging compliance with guideline and reimbursement requirements using at least one repository and a compliance processor. The at least one repository associates information including, specific reimbursement requirements of a patient insurance company with an imaging protocol compliant with predetermined guidelines for imaging a particular anatomical feature and with a specific type of imaging device and with multiple different steps of the imaging protocol. The compliance processor uses the information in, determining whether a particular imaging protocol for imaging a particular anatomical feature of a particular patient on a particular type of imaging device is compliant with the guidelines and the reimbursement requirements and identifying at least one of, (a) a missing step and (b) an incorrect step, in the particular imaging protocol.
摘要翻译：系统使用至少一个存储库和合规处理器来支持符合指南和报销要求的医学成像。所述至少一个存储库将包括患者保险公司的特定报销要求的信息与符合预定准则的成像协议相关联，所述成像协议用于成像特定解剖特征以及特定类型的成像设备以及成像协议的多个不同步骤。合规处理器使用信息，确定用于对特定类型的成像装置上的特定患者的特定解剖特征进行成像的特定成像协议是否符合指南和报销要求，并且确定以下中的至少一个：（a）缺少一个步骤，（b）特定成像协议中的错误步骤。

2. 发明申请

US20120189183A1 Automatic Registration of Image Series with Varying Contrast Based on Synthetic Images Derived from Intensity Behavior Model 有权
标题翻译：基于强度行为模型合成图像的图像系列自动对准
公开(公告)号：US20120189183A1
公开(公告)日：2012-07-26
申请号：US13237198
申请日：2011-09-20
申请人： Hui Xue , Saurabh Shah , Jens Gühring , Andreas Greiser , Christophe Chefd'hotel , Christoph Guetter , Marie-Pierre Jolly , Sven Zuehlsdorff
发明人： Hui Xue , Saurabh Shah , Jens Gühring , Andreas Greiser , Christophe Chefd'hotel , Christoph Guetter , Marie-Pierre Jolly , Sven Zuehlsdorff
IPC分类号： G06K9/40 , G06K9/00
CPC分类号： G06T5/50 , G01R33/448 , G01R33/56509 , G06T7/30 , G06T2207/10088 , G06T2207/20201 , G06T2207/30048
摘要： A method for performing motion compensation in a series of magnetic resonance (MR) images includes acquiring a set of MR image frames spanning different points along an MR recovery curve. A motion-free synthetic image is generated for each of the acquired MR image frames using prior knowledge pertaining to an MR recovery curve. Each of the acquired MR images is registered to its corresponding generated synthetic images. Motion within each of the acquired MR image is corrected based on its corresponding generated synthetic image that has been registered thereto.
摘要翻译：用于在一系列磁共振（MR）图像中执行运动补偿的方法包括获取沿着MR恢复曲线横跨不同点的一组MR图像帧。使用与MR恢复曲线相关的先前知识，为每个所获取的MR图像帧生成无运动合成图像。所获取的MR图像中的每一个被注册到其对应的生成的合成图像。基于其对应的生成的已经被注册的合成图像来校正所获取的MR图像的每一个内的运动。

3. 发明申请

US20120177269A1 Detection of Landmarks and Key-frames in Cardiac Perfusion MRI Using a Joint Spatial-Temporal Context Model 有权
标题翻译：使用联合空间时空背景模型检测心脏灌注MRI中的地标和关键帧
公开(公告)号：US20120177269A1
公开(公告)日：2012-07-12
申请号：US13234694
申请日：2011-09-16
申请人： Xiaoguang Lu , Jens Gühring , Hui Xue , Marie-Pierre Jolly , Christoph Guetter , Bogdan Georgescu , Sven Zuehlsdorff , Arne Littmann
发明人： Xiaoguang Lu , Jens Gühring , Hui Xue , Marie-Pierre Jolly , Christoph Guetter , Bogdan Georgescu , Sven Zuehlsdorff , Arne Littmann
IPC分类号： G06K9/00
CPC分类号： G06K9/4609 , G06K2209/051 , G06T7/11 , G06T7/143 , G06T7/194 , G06T2207/10088 , G06T2207/20164 , G06T2207/30048
摘要： A method including receiving an image sequence, wherein the image sequence includes a plurality of two-dimensional (2D) image frames of an organ arranged in a time sequence; constructing a three-dimensional (3D) volume by stacking a plurality of the 2D image frames in time order; detecting a best bounding box for a target of interest in the 3D volume, wherein the best bounding box is specified by a plurality of parameters including spatial and temporal information contained in the 3D volume; and determining the target of interest from the best bounding box.
摘要翻译：一种包括接收图像序列的方法，其中所述图像序列包括以时间顺序排列的器官的多个二维（2D）图像帧; 通过以时间顺序堆叠多个2D图像帧来构造三维（3D）体积; 检测所述3D体积中感兴趣的目标的最佳边界框，其中所述最佳边界框由包括在所述3D体积中的空间和时间信息的多个参数指定; 并从最佳边界框确定感兴趣的目标。

4. 发明授权

US08848990B2 Automatic registration of image series with varying contrast based on synthetic images derived from intensity behavior model 有权
标题翻译：基于从强度行为模型导出的合成图像，自动配准具有不同对比度的图像序列
公开(公告)号：US08848990B2
公开(公告)日：2014-09-30
申请号：US13237198
申请日：2011-09-20
申请人： Hui Xue , Saurabh Shah , Jens Gühring , Andreas Greiser , Christophe Chefd'hotel , Christoph Guetter , Marie-Pierre Jolly , Sven Zuehlsdorff
发明人： Hui Xue , Saurabh Shah , Jens Gühring , Andreas Greiser , Christophe Chefd'hotel , Christoph Guetter , Marie-Pierre Jolly , Sven Zuehlsdorff
IPC分类号： G06K9/00 , G06T5/50 , G06T7/00 , G01R33/44 , G01R33/565
CPC分类号： G06T5/50 , G01R33/448 , G01R33/56509 , G06T7/30 , G06T2207/10088 , G06T2207/20201 , G06T2207/30048
摘要： A method for performing motion compensation in a series of magnetic resonance (MR) images includes acquiring a set of MR image frames spanning different points along an MR recovery curve. A motion-free synthetic image is generated for each of the acquired MR image frames using prior knowledge pertaining to an MR recovery curve. Each of the acquired MR images is registered to its corresponding generated synthetic images. Motion within each of the acquired MR image is corrected based on its corresponding generated synthetic image that has been registered thereto.
摘要翻译：用于在一系列磁共振（MR）图像中执行运动补偿的方法包括获取沿着MR恢复曲线横跨不同点的一组MR图像帧。使用与MR恢复曲线相关的先前知识，为每个所获取的MR图像帧生成无运动合成图像。所获取的MR图像中的每一个被注册到其对应的生成的合成图像。基于其对应的生成的已经被注册的合成图像来校正所获取的MR图像的每一个内的运动。

5. 发明授权

US08811699B2 Detection of landmarks and key-frames in cardiac perfusion MRI using a joint spatial-temporal context model 有权
标题翻译：使用联合空间 - 时间语境模型检测心脏灌注MRI中的地标和关键帧
公开(公告)号：US08811699B2
公开(公告)日：2014-08-19
申请号：US13234694
申请日：2011-09-16
申请人： Xiaoguang Lu , Jens Gühring , Hui Xue , Marie-Pierre Jolly , Christoph Guetter , Bogdan Georgescu , Sven Zuehlsdorff , Arne Littmann
发明人： Xiaoguang Lu , Jens Gühring , Hui Xue , Marie-Pierre Jolly , Christoph Guetter , Bogdan Georgescu , Sven Zuehlsdorff , Arne Littmann
IPC分类号： G06K9/00
CPC分类号： G06K9/4609 , G06K2209/051 , G06T7/11 , G06T7/143 , G06T7/194 , G06T2207/10088 , G06T2207/20164 , G06T2207/30048
摘要： A method including receiving an image sequence, wherein the image sequence includes a plurality of two-dimensional (2D) image frames of an organ arranged in a time sequence; constructing a three-dimensional (3D) volume by stacking a plurality of the 2D image frames in time order; detecting a best bounding box for a target of interest in the 3D volume, wherein the best bounding box is specified by a plurality of parameters including spatial and temporal information contained in the 3D volume; and determining the target of interest from the best bounding box.
摘要翻译：一种包括接收图像序列的方法，其中所述图像序列包括以时间顺序排列的器官的多个二维（2D）图像帧; 通过以时间顺序堆叠多个2D图像帧来构造三维（3D）体积; 检测所述3D体积中感兴趣的目标的最佳边界框，其中所述最佳边界框由包括在所述3D体积中的空间和时间信息的多个参数指定; 并从最佳边界框确定感兴趣的目标。

6. 发明授权

US08879852B2 Non-contrast-enhanced 4D MRA using compressed sensing reconstruction 有权
标题翻译：使用压缩感知重建的非对比度增强型4D MRA
公开(公告)号：US08879852B2
公开(公告)日：2014-11-04
申请号：US13284143
申请日：2011-10-28
申请人： Ti-chiun Chang , Mariappan S. Nadar , Jens Gühring , Michael Zenge , Kai Tobias Block , Peter Schmitt , Edgar Mueller
发明人： Ti-chiun Chang , Mariappan S. Nadar , Jens Gühring , Michael Zenge , Kai Tobias Block , Peter Schmitt , Edgar Mueller
IPC分类号： G06K9/00 , G01R33/561 , A61B5/055 , G06T11/00 , G01R33/563 , G01R33/565
CPC分类号： G06T11/003 , A61B5/055 , G01R33/561 , G01R33/5635 , G01R33/56545
摘要： A reconstructed image is rendered of a patient by a processor from a set of undersampled MRI data by first subtracting two repetitions of the acquired data in k-space to create a third dataset. The processor reconstructs the image by minimizing an objective function under a constraint related to the third dataset, wherein the objective function includes applying a Karhunen-Loeve Transform (KLT) to a temporal dimension of data. The objective function under the constraint is expressed as arg minf{∥φ(f)∥1 subject to ∥Af−y∥2≦ε}. The reconstructed image is an angiogram which may be a 4D angiogram. The angiogram is used to diagnose a vascular disease.
摘要翻译：通过首先在k空间中减去所获取的数据的两次重复以创建第三数据集，由处理器从一组欠采样的MRI数据中呈现患者的重建图像。处理器通过在与第三数据集相关的约束下最小化目标函数来重建图像，其中目标函数包括将Karhunen-Loeve变换（KLT）应用于数据的时间维度。约束下的目标函数表示为arg minf {∥＆phgr;（f）‖1，受‖Af-y‖2＆nlE;＆egr;}的限制。重建的图像是可以是4D血管造影的血管造影。血管造影用于诊断血管疾病。

7. 发明授权

US08218848B2 System and method for the generation of attenuation correction maps from MR images 有权
标题翻译：用于从MR图像生成衰减校正图的系统和方法
公开(公告)号：US08218848B2
公开(公告)日：2012-07-10
申请号：US12506333
申请日：2009-07-21
申请人： Christophe Lenglet , Christophe Chefd'hotel , Bernhard Geiger , Tina Ehtiati , Jens Gühring
发明人： Christophe Lenglet , Christophe Chefd'hotel , Bernhard Geiger , Tina Ehtiati , Jens Gühring
IPC分类号： G06K9/00
CPC分类号： G06K9/342 , G06K2209/051 , G06T7/11 , G06T7/149 , G06T2207/10088 , G06T2207/30004
摘要： A method for generating a positron emission tomography (PET) attenuation correction map from magnetic resonance (MR) images includes segmenting a 3-dimensional (3D) magnetic resonance (MR) whole-body image of a patient into low-signal regions, fat regions, and soft tissue regions; classifying the low-signal regions as either lungs, bones, or air by identifying lungs, identifying an abdominal station, and identifying a lower body station; and generating an attenuation map from the segmentation result by replacing the segmentation labels with corresponding representative attenuation coefficients.
摘要翻译：用于从磁共振（MR）图像生成正电子发射断层摄影（PET）衰减校正图的方法包括将患者的三维（3D）磁共振（MR）全身图像分为低信号区域，脂肪区域和软组织区域; 通过识别肺，识别腹部站和识别下半身站将低信号区域分类为肺，骨骼或空气; 以及通过用对应的代表衰减系数代替分割标签，从分割结果生成衰减图。

8. 发明授权

US08139838B2 System and method for generating MR myocardial perfusion maps without user interaction 有权
标题翻译：用于产生MR心肌灌注图的系统和方法，无需用户交互
公开(公告)号：US08139838B2
公开(公告)日：2012-03-20
申请号：US12431888
申请日：2009-04-29
申请人： Ying Sun , Jens Gühring
发明人： Ying Sun , Jens Gühring
IPC分类号： G06K9/00
CPC分类号： G06K9/3233 , G06K9/342 , G06K9/6207 , G06K2209/051 , G06T7/12 , G06T7/149 , G06T2207/10076 , G06T2207/30048
摘要： A method for automatically generating a myocardial perfusion map from a sequence of magnetic resonance (MR) images includes determining a region of interest (ROI) in a reference frame selected from a time series of myocardial perfusion MR image slices, registering each image slice in the time series of slices to the reference frame to obtain a series of registered ROIs, and using the series of registered ROIs to segment endo- and epi-cardial boundaries of a myocardium in the ROI.
摘要翻译：从磁共振（MR）图像序列自动生成心肌灌注图的方法包括确定选自心肌灌注MR图像切片的时间序列的参考帧中的感兴趣区域（ROI），将每个图像切片记录在时间序列切片到参考帧以获得一系列注册的ROI，并且使用一系列注册的ROI来分割ROI中的心肌的内部和外部的边界。

9. 发明申请

US20100021034A1 SYSTEM AND METHOD FOR THE GENERATION OF ATTENUATION CORRECTION MAPS FROM MR IMAGES 有权
标题翻译：用于从MR图像生成衰减校正图的系统和方法
公开(公告)号：US20100021034A1
公开(公告)日：2010-01-28
申请号：US12506333
申请日：2009-07-21
申请人： Christophe Lenglet , Christophe Chefd'hotel , Bernhard Geiger , Tina Ehtiati , Jens Gühring
发明人： Christophe Lenglet , Christophe Chefd'hotel , Bernhard Geiger , Tina Ehtiati , Jens Gühring
IPC分类号： G06K9/00
CPC分类号： G06K9/342 , G06K2209/051 , G06T7/11 , G06T7/149 , G06T2207/10088 , G06T2207/30004
摘要： A method for generating a positron emission tomography (PET) attenuation correction map from magnetic resonance (MR) images includes segmenting a 3-dimensional (3D) magnetic resonance (MR) whole-body image of a patient into low-signal regions, fat regions, and soft tissue regions; classifying the low-signal regions as either lungs, bones, or air by identifying lungs, identifying an abdominal station, and identifying a lower body station; and generating an attenuation map from the segmentation result by replacing the segmentation labels with corresponding representative attenuation coefficients.
摘要翻译：用于从磁共振（MR）图像生成正电子发射断层摄影（PET）衰减校正图的方法包括将患者的三维（3D）磁共振（MR）全身图像分为低信号区域，脂肪区域和软组织区域; 通过识别肺，识别腹部站和识别下半身站将低信号区域分类为肺，骨骼或空气; 以及通过用对应的代表衰减系数代替分割标签，从分割结果生成衰减图。

10. 发明申请

US20090290775A1 Method and System for Selecting the Number of Gaussian Modes for the Segmentation of Cardiac Magnetic Resonance (MR) Images 有权
标题翻译：用于选择心脏磁共振（MR）图像分割的高斯模式数的方法和系统
公开(公告)号：US20090290775A1
公开(公告)日：2009-11-26
申请号：US12393097
申请日：2009-02-26
申请人： Ying Sun , Marie-Pierre Jolly , Jens Gühring
发明人： Ying Sun , Marie-Pierre Jolly , Jens Gühring
IPC分类号： G06K9/00
CPC分类号： G06T7/143 , G06T7/11 , G06T7/136 , G06T2207/10088 , G06T2207/30048
摘要： A method for automatically selecting a number of Gaussian modes for segmentation of a cardiac magnetic resonance (MR) image, including: identifying a left ventricle (LV) in a cardiac MR image slice; quantifying the LV blood pool; obtaining a mask for the LV blood pool; generating a ring mask for a myocardium of the LV from the LV blood pool mask; fitting three Gaussian modes to a histogram of the image slice to obtain a corresponding homogeneity image for the myocardium; computing a quality of fitting (QOF) measure for the three Gaussian modes based on the corresponding homogeneity image; repeating the fitting and computing steps for four and five Gaussian modes; and selecting the homogeneity image of the number of Gaussian modes with the largest QOF measure as the homogeneity image for processing.
摘要翻译：一种用于自动选择用于分割心脏磁共振（MR）图像的多个高斯模式的方法，包括：识别心脏MR图像切片中的左心室（LV）; 量化LV血液池; 获得LV血液的面罩; 从LV血液屏障中产生LV的心肌的环形掩模; 将三个高斯模式拟合到图像切片的直方图，以获得心肌的相应的均匀图像; 基于相应的均匀图像计算三种高斯模式的拟合质量（QOF）度量; 重复四种和五种高斯模式的拟合和计算步骤; 并选择具有最大QOF测量的高斯模式数量的均匀图像作为用于处理的均匀性图像。

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