公开(公告)号：US08527251B2

公开(公告)日：2013-09-03

申请号：US12770850

申请日：2010-04-30

申请人： Razvan Ioan Ionasec ,  Puneet Sharma ,  Bogdan Georgescu ,  Andrey Torzhkov ,  Fabian Moerchen ,  Gayle M. Wittenberg ,  Dmitriy Fradkin ,  Dorin Comaniciu

发明人： Razvan Ioan Ionasec ,  Puneet Sharma ,  Bogdan Georgescu ,  Andrey Torzhkov ,  Fabian Moerchen ,  Gayle M. Wittenberg ,  Dmitriy Fradkin ,  Dorin Comaniciu

IPC分类号： G06G7/58

CPC分类号： A61B5/0263 ,  G01R33/56 ,  G01R33/5608 ,  G06F19/00 ,  G06F19/321 ,  G06T17/00 ,  G16H50/20 ,  G16H50/50

摘要： A method and system for generating a patient specific anatomical heart model is disclosed. Volumetric image data, such as computed tomography (CT), echocardiography, or magnetic resonance (MR) image data of a patient's cardiac region is received. Individual models for multiple heart components, such as the left ventricle (LV) endocardium, LV epicardium, right ventricle (RV), left atrium (LA), right atrium (RA), mitral valve, aortic valve, aorta, and pulmonary trunk, are estimated in said volumetric cardiac image data. A multi-component patient specific anatomical heart model is generated by integrating the individual models for each of the heart components. Fluid Structure Interaction (FSI) simulations are performed on the patient specific anatomical model, and patient specific clinical parameters are extracted based on the patient specific heart model and the FSI simulations. Disease progression modeling and risk stratification are performed based on the patient specific clinical parameters.

摘要翻译： 公开了一种用于生成患者特异性解剖心脏模型的方法和系统。 接收患者心脏区域的体积图像数据，例如计算机断层摄影（CT），超声心动图或磁共振（MR）图像数据。 用于多个心脏组件的单独模型，例如左心室（LV）心内膜，LV心外膜，右心室（RV），左心房（LA），右心房（RA），二尖瓣，主动脉瓣，主动脉和肺动脉干， 在所述体积心脏图像数据中估计。 通过对每个心脏组件的各个模型进行整合，产生多组分患者特异性解剖心脏模型。 对患者特异性解剖模型进行流体结构相互作用（FSI）模拟，并根据患者特异性心脏模型和FSI模拟提取患者特异性临床参数。 疾病进展模型和风险分层是根据患者的具体临床参数进行的。

公开(公告)号：US20120150504A1

公开(公告)日：2012-06-14

申请号：US13310829

申请日：2011-12-05

申请人： Ioannis Akrotirianakis ,  Andrey Torzhkov

发明人： Ioannis Akrotirianakis ,  Andrey Torzhkov

IPC分类号： G06F17/11

CPC分类号： G06F17/00 ,  G06F17/11 ,  H02J2003/007 ,  Y02E40/76 ,  Y02E60/76 ,  Y04S10/545 ,  Y04S40/22

摘要： A solution to the optimal power flow (OPF) problem for electrical generation and distribution systems utilizes a re-configuration of the OPF problem that allows for a simplified analysis and resolution of a network-based OPF problem in a minimal number of iterations. The standard mixed integer quadratic problem (MIQP) definition is be reconfigured, using the chain rule, to a relatively compact linear system of six equations with six unknowns (the smallest reducible (atomic) problem). Advantageously, the reduction in the complexity of the problem does not require any assumptions and yields a solution equivalent to the original problem.

摘要翻译： 用于发电和配电系统的最佳功率流（OPF）问题的解决方案利用OPF问题的重新配置，允许在最小次数的迭代中简化分析和解决基于网络的OPF问题。 使用链规则将标准混合整数二次问题（MIQP）定义重新配置为具有六个未知数（最小可还原（原子）问题）的六个方程的相对紧凑的线性系统。 有利地，减少问题的复杂性不需要任何假设，并产生与原始问题相当的解决方案。

公开(公告)号：US20140032187A1

公开(公告)日：2014-01-30

申请号：US13880449

申请日：2011-11-04

申请人： Motto Alexis Legbedji ,  Andrey Torzhkov ,  Amit Chakraborty

发明人： Motto Alexis Legbedji ,  Andrey Torzhkov ,  Amit Chakraborty

IPC分类号： G06F17/50

CPC分类号： G06F17/5009 ,  G05B13/042 ,  G05B17/02 ,  G06F17/10

摘要： A method of approximating a solution of a stochastic state estimation (SSE) model of an electric grid, includes choosing (70) starting anchor points in an SSE model of an electric grid, relaxing (71) constraints of an SSE objective function to solve for a feasible solution of the SSE model, calculating (72) updated dual variables and infeasibility reduction directions from the feasible solution, generating (73) a linear cut for the chosen starting anchor points, choosing (74) a step size toward the reduction directions, and updating (75) the anchor points through branching by making the chosen step, wherein each anchor point defines a rectangle that at least partially covers a feasible solution set of the SSE model and the set of rectangles covering the feasible solution set of the SSE model define an approximate solution of the SSE model of said electric grid.

摘要翻译： 一种近似电网随机状态估计（SSE）模型解的方法包括选择（70）在电网SSE模型中启动锚点，放松（71）SSE目标函数的约束，以求解 从可行解中计​​算（72）更新的双变量和不可行性减少方向，对所选择的起始锚点产生（73）线性切割，选择（74）向减小方向的步长， 以及通过进行所选择的步骤来通过分支来更新（75）所述锚定点，其中每个锚点定义至少部分地覆盖所述SSE模型的可行解集合的矩形，并且覆盖所述SSE模型的可行解集的矩形集合 定义所述电网的SSE模型的近似解。

公开(公告)号：US20100280352A1

公开(公告)日：2010-11-04

申请号：US12770850

申请日：2010-04-30

申请人： Razvan Ioan Ionasec ,  Puneet Sharma ,  Bogdan Georgescu ,  Andrey Torzhkov ,  Fabian Moerchen ,  Gayle M. Wittenberg ,  Dmitriy Fradkin ,  Dorin Comaniciu

发明人： Razvan Ioan Ionasec ,  Puneet Sharma ,  Bogdan Georgescu ,  Andrey Torzhkov ,  Fabian Moerchen ,  Gayle M. Wittenberg ,  Dmitriy Fradkin ,  Dorin Comaniciu

IPC分类号： A61B5/05 ,  A61B5/00 ,  G06F17/50 ,  G06G7/60 ,  G06N5/02

CPC分类号： A61B5/0263 ,  G01R33/56 ,  G01R33/5608 ,  G06F19/00 ,  G06F19/321 ,  G06T17/00 ,  G16H50/20 ,  G16H50/50

摘要： A method and system for generating a patient specific anatomical heart model is disclosed. Volumetric image data, such as computed tomography (CT), echocardiography, or magnetic resonance (MR) image data of a patient's cardiac region is received. Individual models for multiple heart components, such as the left ventricle (LV) endocardium, LV epicardium, right ventricle (RV), left atrium (LA), right atrium (RA), mitral valve, aortic valve, aorta, and pulmonary trunk, are estimated in said volumetric cardiac image data. A multi-component patient specific anatomical heart model is generated by integrating the individual models for each of the heart components. Fluid Structure Interaction (FSI) simulations are performed on the patient specific anatomical model, and patient specific clinical parameters are extracted based on the patient specific heart model and the FSI simulations. Disease progression modeling and risk stratification are performed based on the patient specific clinical parameters.

摘要翻译： 公开了一种用于产生患者特异性解剖心脏模型的方法和系统。 接收患者心脏区域的体积图像数据，例如计算机断层摄影（CT），超声心动图或磁共振（MR）图像数据。 用于多个心脏组件的单独模型，例如左心室（LV）心内膜，LV心外膜，右心室（RV），左心房（LA），右心房（RA），二尖瓣，主动脉瓣，主动脉和肺动脉干， 在所述体积心脏图像数据中估计。 通过对每个心脏组件的各个模型进行整合，产生多组分患者特异性解剖心脏模型。 对患者特异性解剖模型进行流体结构相互作用（FSI）模拟，并根据患者特异性心脏模型和FSI模拟提取患者特异性临床参数。 疾病进展模型和风险分层是根据患者的具体临床参数进行的。

公开(公告)号：US08775136B2

公开(公告)日：2014-07-08

申请号：US13310829

申请日：2011-12-05

申请人： Ioannis Akrotirianakis ,  Andrey Torzhkov

发明人： Ioannis Akrotirianakis ,  Andrey Torzhkov

IPC分类号： G06F7/60 ,  G06F17/00 ,  H02J3/00

CPC分类号： G06F17/00 ,  G06F17/11 ,  H02J2003/007 ,  Y02E40/76 ,  Y02E60/76 ,  Y04S10/545 ,  Y04S40/22

摘要： A solution to the optimal power flow (OPF) problem for electrical generation and distribution systems utilizes a re-configuration of the OPF problem that allows for a simplified analysis and resolution of a network-based OPF problem in a minimal number of iterations. The standard mixed integer quadratic problem (MIQP) definition is be reconfigured, using the chain rule, to a relatively compact linear system of six equations with six unknowns (the smallest reducible (atomic) problem). Advantageously, the reduction in the complexity of the problem does not require any assumptions and yields a solution equivalent to the original problem.

摘要翻译： 用于发电和配电系统的最佳功率流（OPF）问题的解决方案利用OPF问题的重新配置，允许在最小次数的迭代中简化分析和解决基于网络的OPF问题。 使用链规则将标准混合整数二次问题（MIQP）定义重新配置为具有六个未知数（最小可还原（原子）问题）的六个方程的相对紧凑的线性系统。 有利地，减少问题的复杂性不需要任何假设，并产生与原始问题相当的解决方案。

公开(公告)号：US08396572B2

公开(公告)日：2013-03-12

申请号：US12691909

申请日：2010-01-22

申请人： Andrey Torzhkov ,  Amit Chakraborty

发明人： Andrey Torzhkov ,  Amit Chakraborty

IPC分类号： G05B13/02

CPC分类号： G05B17/02 ,  G05B13/042

摘要： A method for optimizing operational settings for a plurality of energy devices includes representing each of the plurality of energy devices in terms of a set of decision variables and operational parameters. The decision variables and operational parameters are constrained based on operational conditions and interrelationship within the plurality of energy devices. A two-tiered model of the plurality of energy devices is generated wherein a top tier of the model represents interaction of various sub-models and a bottom tier of the model includes a set of the sub-models that form the top tier, each sub-model representing detailed operation of the plurality of energy devices. The two-tiered model is optimized to provide either a schedule of operation for the plurality of energy devices or real-time control for the plurality of energy devices.

摘要翻译： 用于优化多个能量设备的操作设置的方法包括根据一组决策变量和操作参数来表示多个能量设备中的每一个。 决定变量和操作参数基于多个能量设备内的操作条件和相互关系来约束。 生成多个能量装置的两层模型，其中模型的顶层表示各种子模型的交互作用，模型的底层包括形成顶层的子模型集合，每个子模型 - 表示多个能量装置的详细操作的模型。 双层模型被优化以提供多个能量装置的操作计划或者用于多个能量装置的实时控制。

公开(公告)号：US20110066258A1

公开(公告)日：2011-03-17

申请号：US12691909

申请日：2010-01-22

申请人： Andrey Torzhkov ,  Amit Chakraborty

发明人： Andrey Torzhkov ,  Amit Chakraborty

IPC分类号： G05B13/02

CPC分类号： G05B17/02 ,  G05B13/042

摘要： A method for optimizing operational settings for a plurality of energy devices includes representing each of the plurality of energy devices in terms of a set of decision variables and operational parameters. The decision variables and operational parameters are constrained based on operational conditions and interrelationship within the plurality of energy devices. A two-tiered model of the plurality of energy devices is generated wherein a top tier of the model represents interaction of various sub-models and a bottom tier of the model includes a set of the sub-models that form the top tier, each sub-model representing detailed operation of the plurality of energy devices. The two-tiered model is optimized to provide either a schedule of operation for the plurality of energy devices or real-time control for the plurality of energy devices.

摘要翻译： 用于优化多个能量设备的操作设置的方法包括根据一组决策变量和操作参数来表示多个能量设备中的每一个。 决定变量和操作参数基于多个能量设备内的操作条件和相互关系来约束。 生成多个能量装置的两层模型，其中模型的顶层表示各种子模型的交互作用，模型的底层包括形成顶层的子模型集合，每个子模型 - 表示多个能量装置的详细操作的模型。 双层模型被优化以提供多个能量装置的操作计划或者用于多个能量装置的实时控制。