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1. 发明申请

WO2014008332A3 SYSTEM AND METHODS FOR INTEGRATED AND PREDICTIVE ANALYSIS OF MOLECULAR, IMAGING, AND CLINICAL DATA FOR PATIENT-SPECIFIC MANAGEMENT OF DISEASES 审中-公开
公开(公告)号：WO2014008332A3
公开(公告)日：2014-01-09
申请号：PCT/US2013/049205
申请日：2013-07-03
申请人： SIEMENS CORPORATION , SIEMENS AG OSTERREICH , SIEMENS AKTIENGESELLSCHAFT , MANSI, Tommaso , LIM, Wei, Keat , KING, Vanessa , KREMER, Andreas , GEORGESCU, Bogdan , ZHENG, Xudong , KAMEN, Ali , KELLER, Andreas , STAEHLER, Cord, Friedrich , WIRSZ, Emil , COMANICIU, Dorin
发明人： MANSI, Tommaso , LIM, Wei, Keat , KING, Vanessa , KREMER, Andreas , GEORGESCU, Bogdan , ZHENG, Xudong , KAMEN, Ali , KELLER, Andreas , STAEHLER, Cord, Friedrich , WIRSZ, Emil , COMANICIU, Dorin
IPC分类号： G06F19/12 , G06F19/00
摘要： A system operating in a plurality of modes to provide an integrated analysis of molecular data, imaging data, and clinical data associated with a patient includes a multi-scale model, a molecular model, and a linking component. The multi-scale model is configured to generate one or more estimated multi-scale parameters based on the clinical data and the imaging data when the system operates in a first mode, and generate a model of organ functionality based on one or more inferred multi-scale parameters when the system operates in a second mode. The molecular model is configured to generate one or more first molecular findings based on a molecular network analysis of the molecular data, wherein the molecular model is constrained by the estimated parameters when the system operates in the first mode. The linking component, which is operably coupled to the multi-scale model and the molecular model, is configured to transfer the estimated multi-scale parameters from the multi-scale model to the molecular model when the system operates in the first mode, and generate, using a machine learning process, the inferred multi-scale parameters based on the molecular findings when the system operates in the second mode.

2. 发明申请

WO2013138428A1 A FRAMEWORK FOR PERSONALIZATION OF CORONARY FLOW COMPUTATIONS DURING REST AND HYPEREMIA 审中-公开
标题翻译：在休息和高血压期间进行冠状动脉计算的个性化框架
公开(公告)号：WO2013138428A1
公开(公告)日：2013-09-19
申请号：PCT/US2013/030732
申请日：2013-03-13
申请人： SIEMENS AKTIENGESELLSCHAFT , ITU, Lucian, Mihai , SHARMA, Puneet , ZHENG, Xudong , KAMEN, Ali , SUCIU, Constantin , COMANICIU, Dorin
发明人： ITU, Lucian, Mihai , SHARMA, Puneet , ZHENG, Xudong , KAMEN, Ali , SUCIU, Constantin , COMANICIU, Dorin
IPC分类号： A61B5/026 , G06F19/00 , A61B5/02 , A61B5/022 , A61B5/024
CPC分类号： G06F19/3437 , A61B5/02007 , A61B5/02028 , A61B5/021 , A61B5/022 , A61B5/024 , A61B5/026 , A61B5/055 , A61B6/032 , A61B6/481 , A61B8/0891 , G06F19/00 , G16H50/50
摘要： Embodiments relate to non-invasively determining coronary circulation parameters during a rest state and a hyperemic state for a patient. The blood flow in the coronary arteries during a hyperemic state provides a functional assessment of the patient's coronary vessel tree. Imaging techniques are used to obtain an anatomical model of the patient's coronary tree. Rest boundary conditions are computed based on non-invasive measurements taken at a rest state, and estimated hyperemic boundary conditions are computed. A feedback control system performs a simulation matching the rest state utilizing a model based on the anatomical model and a plurality of controllers, each controller relating to respective output variables of the coronary tree. The model parameters are adjusted for the output variables to be in agreement with the rest state measurements, and the hyperemic boundary conditions are accordingly adjusted. The hyperemic boundary conditions are used to compute coronary flow and coronary pressure variables.
摘要翻译：实施例涉及在休息状态和患者的充血状态期间非侵入性地确定冠状动脉循环参数。在充血状态期间冠状动脉中的血流量提供对患者冠状动脉血管树的功能评估。成像技术用于获得患者冠状动脉树的解剖模型。休息边界条件是基于在静止状态下进行的非侵入性测量计算的，并且计算估计的充血边界条件。反馈控制系统利用基于解剖模型的模型和多个控制器执行与休息状态匹配的模拟，每个控制器涉及冠状动脉树的相应输出变量。调整模型参数以使输出变量与其余状态测量一致，并相应调整充电边界条件。充血边界条件用于计算冠状动脉血流和冠状动脉压力变量。

3. 发明申请

WO2013071219A1 METHOD AND SYSTEM FOR MULTI-SCALE ANATOMICAL AND FUNCTIONAL MODELING OF CORONARY CIRCULATION 审中-公开
标题翻译：冠状循环的多尺度解剖学和功能建模方法与系统
公开(公告)号：WO2013071219A1
公开(公告)日：2013-05-16
申请号：PCT/US2012/064604
申请日：2012-11-12
申请人： SIEMENS CORPORATION , SHARMA, Puneet , ITU, Lucian Mihai , GEORGESCU, Bogdan , MIHALEF, Viorel , KAMEN, Ali , COMANICIU, Dorin
发明人： SHARMA, Puneet , ITU, Lucian Mihai , GEORGESCU, Bogdan , MIHALEF, Viorel , KAMEN, Ali , COMANICIU, Dorin
IPC分类号： G06F19/00
CPC分类号： G06F19/12 , G06F19/00 , G06F19/321 , G16H50/30 , G16H50/50
摘要： A method and system for multi-scale anatomical and functional modeling of coronary circulation is disclosed. A patient-specific anatomical model of coronary arteries and the heart is generated from medical image data of a patient. A multi-scale functional model of coronary circulation is generated based on the patient-specific anatomical model. Blood flow is simulated in at least one stenosis region of at least one coronary artery using the multi-scale function model of coronary circulation. Hemodynamic quantities, such as fractional flow reserve (FFR), are computed to determine a functional assessment of the stenosis, and virtual intervention simulations are performed using the multi-scale function model of coronary circulation for decision support and intervention planning.
摘要翻译：公开了一种用于冠状循环多尺度解剖和功能建模的方法和系统。冠状动脉和心脏的患者特异性解剖模型由患者的医学图像数据产生。基于患者特异性解剖模型产生冠状动脉循环的多尺度功能模型。使用冠状动脉循环的多尺度功能模型在至少一个冠状动脉的至少一个狭窄区域中模拟血流量。计算血流动力学量，例如分数流量储备（FFR），以确定狭窄的功能评估，并使用冠状动脉循环的多尺度函数模型进行虚拟干预模拟，以进行决策支持和干预计划。

4. 发明申请

WO2013028762A1 METHOD AND SYSTEM FOR INTEGRATED RADIOLOGICAL AND PATHOLOGICAL INFORMATION FOR DIAGNOSIS, THERAPY SELECTION, AND MONITORING 审中-公开
标题翻译：用于诊断，治疗选择和监测的综合放射学和病理学信息的方法和系统
公开(公告)号：WO2013028762A1
公开(公告)日：2013-02-28
申请号：PCT/US2012/051869
申请日：2012-08-22
申请人： SIEMENS CORPORATION , KAMEN, Ali , GRADY, Leo , PALADINI, Gianluca , KHURD, Parmeshwar , KUTTER, Oliver , COMANICIU, Dorin
发明人： KAMEN, Ali , GRADY, Leo , PALADINI, Gianluca , KHURD, Parmeshwar , KUTTER, Oliver , COMANICIU, Dorin
IPC分类号： A61B6/00 , A61B8/00 , G06F19/00 , A61B10/00
CPC分类号： G06T7/0012 , A61B6/12 , A61B6/463 , A61B6/467 , A61B8/0841 , A61B8/463 , A61B8/465 , A61B8/467 , A61B10/02 , G06F19/00 , G06F19/3481 , G06T2207/30004 , G16H50/20
摘要： A method and system for integrating radiological and pathological information for cancer diagnosis, therapy selection, and monitoring is disclosed. A radiological image of a patient, such as a magnetic resonance (MR), computed tomography (CT), positron emission tomography (PET), or ultrasound image, is received. A location corresponding to each of one or more biopsy samples is determined in the at least one radiological image. An integrated display is used to display a histological image corresponding to the each biopsy samples, the radiological image, and the location corresponding to each biopsy samples in the radiological image. Pathological information and radiological information are integrated by combining features extracted from the histological images and the features extracted from the corresponding locations in the radiological image for cancer grading, prognosis prediction, and therapy selection.
摘要翻译：公开了用于整合放射学和病理学信息用于癌症诊断，治疗选择和监测的方法和系统。接收患者的放射学图像，例如磁共振（MR），计算机断层摄影（CT），正电子发射断层摄影（PET）或超声图像。在至少一个放射图像中确定与一个或多个活检样本中的每一个对应的位置。使用集成显示器来显示对应于每个活检样本，放射图像和对应于放射图像中的每个活检样本的位置的组织学图像。通过组合图像提取的特征和从放射图像中相应位置提取的特征，进行癌症分级，预后预测和治疗选择，整合病理信息和放射学信息。

5. 发明申请

WO2004081875A2 SYSTEM AND METHOD FOR TRACKING A GLOBAL SHAPE OF AN OBJECT IN MOTION 审中-公开
标题翻译：跟踪运动对象的全球形状的系统和方法
公开(公告)号：WO2004081875A2
公开(公告)日：2004-09-23
申请号：PCT/US2004/007068
申请日：2004-03-08
申请人： SIEMENS CORPORATE RESEARCH INC. , SIEMENS MEDICAL SOLUTIONS USA INC , COMANICIU, Dorin , KRISHNAN, Sriram , ZHOU, Xiang Sean , GEORGESCU, Bogdan
发明人： COMANICIU, Dorin , KRISHNAN, Sriram , ZHOU, Xiang Sean , GEORGESCU, Bogdan
IPC分类号： G06T7/20
CPC分类号： G06K9/6247 , G06K9/3216 , G06K9/629 , G06K2209/051 , G06T7/215 , G06T7/251 , G06T2207/10132 , G06T2207/30048
摘要： A system and method for tracking a global shape of an object in motion is disclosed. One or more control points along an initial contour of the global shape are defined. Each of the one or more control points is tracked as the object is in motion. Uncertainty of a location of a control point in motion is represented using a number of techniques. The uncertainty to constrain the global shape is exploited using a prior shape model. In an alternative embodiment, multiple appearance models are built for each control point and the motion vectors produced by each model are combined in order to track the shape of the object. The movement of the shape of the object can be visually tracked using a display and color vectors.
摘要翻译：公开了一种跟踪运动对象的全局形状的系统和方法。定义沿着全局形状初始轮廓的一个或多个控制点。一个或多个控制点中的每一个在物体运动时被跟踪。使用许多技术来表示控制点在运动中的位置的不确定性。使用先前的形状模型来利用限制全局形状的不确定性。在替代实施例中，为每个控制点构建多个外观模型，并且组合由每个模型产生的运动矢量以跟踪对象的形状。可以使用显示和颜色向量来可视地跟踪对象的形状的移动。

6. 发明申请

WO2006052681A1 METHOD OF DATABASE-GUIDED SEGMENTATION OF ANATOMICAL STRUCTURES HAVING COMPLEX APPEARANCES 审中-公开
标题翻译：数据库指导性分类具有复杂外观的解剖结构的方法
公开(公告)号：WO2006052681A1
公开(公告)日：2006-05-18
申请号：PCT/US2005/039838
申请日：2005-11-03
申请人： SIEMENS CORPORATE RESEARCH, INC. , SIEMENS MEDICAL SOLUTIONS USA, INC. , GEORGESCU, Bogdan , ZHOU, Xiang , COMANICIU, Dorin , RAO, R. Bharat , GUPTA, Alok
发明人： GEORGESCU, Bogdan , ZHOU, Xiang , COMANICIU, Dorin , RAO, R. Bharat , GUPTA, Alok
IPC分类号： G06K9/62 , G06T7/00
CPC分类号： G06K9/6255 , G06T7/11 , G06T2207/10132 , G06T2207/20081 , G06T2207/30048 , Y10S128/922 , Y10S128/923
摘要： A method for segmenting an anatomical structure of interest within an image is disclosed. The anatomical structure of interest is compared to a database of images of like anatomical structures. Those database images of like anatomical structures that are similar to the anatomical structure of interest are identified. The identified database images are used to detect the anatomical structure of interest in the image. The identified database images are also used to determine the shape of the anatomical structure of interest. The anatomical structure of interest is segmented from the image.
摘要翻译：公开了一种用于分割图像内感兴趣的解剖结构的方法。感兴趣的解剖结构与类似解剖结构的图像的数据库进行比较。识别与感兴趣的解剖结构相似的类似解剖结构的数据库图像。识别的数据库图像用于检测图像中感兴趣的解剖结构。所识别的数据库图像也用于确定感兴趣的解剖结构的形状。感兴趣的解剖结构从图像中分割。

7. 发明申请

WO2006041548A1 ULTRASOUND SIGNAL EXTRACTION FROM MEDICAL ULTRTASOUND IMAGES 审中-公开
标题翻译：超声波信号从医疗超声图像提取
公开(公告)号：WO2006041548A1
公开(公告)日：2006-04-20
申请号：PCT/US2005/026441
申请日：2005-07-26
申请人： SIEMENS CORPORATE RESEARCH, INC. , SIEMENS MEDICAL SOLUTIONS USA, INC. , COMANICIU, Dorin , KRISHNAN, Sriram , GEORGESCU, Bogdan , ZHOU, Ziang Sean
发明人： COMANICIU, Dorin , KRISHNAN, Sriram , GEORGESCU, Bogdan , ZHOU, Ziang Sean
IPC分类号： G06T5/00
CPC分类号： G06T7/215 , G06T7/12 , G06T2207/10132 , G06T2207/20068 , G06T2207/30004
摘要： Ultrasound signal information (40) is detected from a sequence of images (42). A robust automated delineation of the border of the fan or ultrasound signal information (40) in echocardiographic or other ultrasound image sequence is provided. The processor (12) implemented delineation uses a single image (42) or a sequence of images (42) to better identify ultrasound signal data. Variation through a sequence generally identifies (24) the signal area. Projecting the filtered variation information to two likely directions identifies (26) approximate edge locations along the sides of the border. Robust regression fits (28) lines to the edges to find accurate border locations. The bottom of the border is identified (30) with a histogram of the variation information as a function of radius from an intersection of the fit lines
摘要翻译：从图像序列（42）检测超声信号信息（40）。提供了在超声心动图或其他超声图像序列中对风扇或超声信号信息（40）的边界的鲁棒自动描绘。执行描绘的处理器（12）使用单个图像（42）或图像序列（42）来更好地识别超声信号数据。通过序列的变化通常标识（24）信号区域。将过滤的变化信息投影到两个可能的方向，标识（26）边界边缘的近似边缘位置。强大的回归符合（28）线到边缘以找到准确的边界位置。识别边界的底部（30），其中变化信息的直方图作为与拟合线的交点相关的半径的函数

8. 发明申请

WO2006029037A2 SYSTEM AND METHOD FOR TRACKING ANATOMICAL STRUCTURES IN THREE DIMENSIONAL IMAGES 审中-公开
标题翻译：用于跟踪三维图像中的解剖结构的系统和方法
公开(公告)号：WO2006029037A2
公开(公告)日：2006-03-16
申请号：PCT/US2005/031444
申请日：2005-09-02
申请人： SIEMENS CORPORATE RESEARCH, INC. , XIAO, Jing , GEORGESCU, Bogdan , ZHOU, Xiang, Sean , COMANICIU, Dorin
发明人： XIAO, Jing , GEORGESCU, Bogdan , ZHOU, Xiang, Sean , COMANICIU, Dorin
IPC分类号： G06T7/20 , A61B5/00
CPC分类号： G06K9/3216 , A61B8/08 , A61B8/0883 , A61B8/463 , A61B8/483 , G06K2209/051 , G06T7/0016 , G06T7/12 , G06T7/149 , G06T7/246 , G06T7/277 , G06T2200/04 , G06T2200/24 , G06T2207/10136 , G06T2207/30048 , Y10S128/922
摘要： A system and method for defining and tracking a deformable shape of a candidate anatomical structure wall in a three dimensional (3D) image is disclosed. The shape of the candidate anatomical structure is represented by a plurality of labeled 3D landmark points. At least one 3D landmark point of the deformable shape in an image frame is defined. A 3D cuboid is defined around the detected 3D landmark point. For each landmark point associated with the anatomical structure, its location and location uncertainty matrix is estimated in subsequent frames relative to the reference anatomical structures. A shape model is generated to represent dynamics of the deformable shape in subsequent image frames. The shape model includes statistical information from a training data set of 3D images of representative anatomical structures. The shape model is aligned to the deformable shape of the candidate anatomical structure. The shape model is fused with the deformable shape. A current shape of the candidate anatomical strucutre is estimated.
摘要翻译：公开了一种在三维（3D）图像中定义和跟踪候选解剖结构壁的可变形形状的系统和方法。候选解剖结构的形状由多个标记的3D地标点表示。定义图像帧中的可变形形状的至少一个3D地标点。 3D立方体围绕检测到的3D地标点定义。对于与解剖结构相关联的每个界标点，在相对于参考解剖结构的后续帧中估计其位置和位置不确定性矩阵。生成形状模型以表示后续图像帧中的可变形形状的动态。形状模型包括来自代表性解剖结构的3D图像的训练数据集的统计信息。形状模型与候选解剖结构的可变形形状对准。形状模型与可变形的形状融合。估计候选解剖结构的当前形状。

9. 发明申请

WO2005034039A2 SYSTEM AND METHOD FOR LOCAL DEFORMABLE MOTION ANALYSIS 审中-公开
标题翻译：用于局部可变运动分析的系统和方法
公开(公告)号：WO2005034039A2
公开(公告)日：2005-04-14
申请号：PCT/US2004/032724
申请日：2004-10-04
申请人： SIEMENS CORPORATE RESEARCH, INC. , GEORGESCU, Bogdan , ZHOU, Xiang Sean , COMANICIU, Dorin , KRISHNAN, Sriram
发明人： GEORGESCU, Bogdan , ZHOU, Xiang Sean , COMANICIU, Dorin , KRISHNAN, Sriram
IPC分类号： G06T7/20
CPC分类号： G06T7/20 , G06T7/0016 , G06T7/251 , G06T2207/10132 , G06T2207/30048
摘要： [0061] A system and method for local deformable motion analysis and for accurately tracking motion of an object isolating local motion of an object from global motion of an object is disclosed. The object is viewed in an image sequence and image regions are sampled to identify object image regions and background image regions. The motion of at least one of the identified background image regions is estimated to identify those background image regions affected by global motion. Motion from multiple background image regions are combined to measure the global motion in that image frame. The measured global motion in the object image regions are compensated to measure local motion of the object and the local motion of the object is tracked. A system and method for accurately measuring the local deformable motion of an object as the relative motion between two control point sets is disclosed. The point sets are defined as the inner contour and the outer contour of an object. The motion of the control point sets is estimated and the relative motion is used to characterize the local deformation and local motion of the object
摘要翻译：公开了一种用于局部可变形运动分析和用于精确跟踪物体的局部运动与对象的全局运动隔离的物体的运动的系统和方法。以图像序列查看对象，并对图像区域进行采样以识别对象图像区域和背景图像区域。估计所识别的背景图像区域中的至少一个的运动以识别受全局运动影响的那些背景图像区域。来自多个背景图像区域的运动被组合以测量该图像帧中的全局运动。在对象图像区域中测量的全局运动被补偿以测量对象的局部运动，并跟踪对象的局部运动。公开了一种用于精确测量物体的局部可变形运动作为两个控制点组之间的相对运动的系统和方法。点集被定义为对象的内轮廓和外轮廓。估计控制点集的运动，并使用相对运动来表征对象的局部变形和局部运动

10. 发明申请

WO2005083634A1 METHOD AND SYSTEM FOR MULTI-MODAL COMPONENT-BASED TRACKING OF AN OBJECT USING ROBUST INFORMATION FUSION 审中-公开
标题翻译：使用稳健信息融合方法进行多模态组件跟踪的方法和系统
公开(公告)号：WO2005083634A1
公开(公告)日：2005-09-09
申请号：PCT/US2005/005248
申请日：2005-02-18
申请人： SIEMENS CORPORATE RESEARCH, INC. , GEORGESCU, Bogdan , ZHOU, Xiang Sean , COMANICIU, Dorin , RAO, R. Bharat
发明人： GEORGESCU, Bogdan , ZHOU, Xiang Sean , COMANICIU, Dorin , RAO, R. Bharat
IPC分类号： G06T7/20
CPC分类号： G06K9/3216 , G06K9/6206 , G06T7/215 , G06T7/269
摘要： [0062] A system and method for tracking an object is disclosed. A video sequence including a plurality of image frames are received. A sample based representation of object appearance distribution is maintained. An object is divided into one or more components. For each component, its location and uncertainty with respect to the sample based representation are estimated. Variable-Bandwidth Density Based Fusion (VBDF) is applied to each component to determine a most dominant motion. The motion estimate is used to determine the track of the object.
摘要翻译：公开了一种用于跟踪对象的系统和方法。接收包括多个图像帧的视频序列。保持对象外观分布的基于样本的表示。一个对象被分成一个或多个组件。对于每个组件，估计其相对于基于样本的表示的位置和不确定性。基于可变带宽密度的融合（VBDF）应用于每个组件以确定最主要的运动。运动估计用于确定对象的轨迹。

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