利索-全球专利检索

  1. 登录
  2. 注册

搜索结果

33 条记录 (耗时 0.037 秒)

    SYSTEM AND METHODS FOR INTEGRATED AND PREDICTIVE ANALYSIS OF MOLECULAR, IMAGING, AND CLINICAL DATA FOR PATIENT-SPECIFIC MANAGEMENT OF DISEASES
    2.
    发明申请
    SYSTEM AND METHODS FOR INTEGRATED AND PREDICTIVE ANALYSIS OF MOLECULAR, IMAGING, AND CLINICAL DATA FOR PATIENT-SPECIFIC MANAGEMENT OF DISEASES 审中-公开
    用于疾病特异性管理的分子，成像和临床数据的综合和预测分析的系统和方法

    公开(公告)号：US20140012558A1

    公开(公告)日：2014-01-09

    申请号：US13928430

    申请日：2013-06-27

    申请人： Tommaso Mansi ,  Wei Keat Lim ,  Vanessa King ,  Andreas Kremer ,  Bogdan Georgescu ,  Xudong Zheng ,  Ali Kamen ,  Andreas Keller ,  Cord Friedrich Staehler ,  Emil Wirsz ,  Dorin Comaniciu

    发明人： Tommaso Mansi ,  Wei Keat Lim ,  Vanessa King ,  Andreas Kremer ,  Bogdan Georgescu ,  Xudong Zheng ,  Ali Kamen ,  Andreas Keller ,  Cord Friedrich Staehler ,  Emil Wirsz ,  Dorin Comaniciu

    IPC分类号： G06F19/00

    CPC分类号： G16H50/50 ,  G06F19/12

    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.

    摘要翻译： 以多种模式操作以提供与患者相关联的分子数据，成像数据和临床数据的集成分析的系统包括多尺度模型，分子模型和连接部件。 多尺度模型被配置为当系统以第一模式操作时，基于临床数据和成像数据生成一个或多个估计的多尺度参数，并且基于一个或多个推断的多尺度模型生成器官功能模型， 系统在第二模式下运行时的缩放参数。 分子模型被配置为基于分子数据的分子网络分析产生一个或多个第一分子发现，其中当系统以第一模式操作时，分子模型受到估计参数约束。 可操作地耦合到多尺度模型和分子模型的连接部件被配置为当系统在第一模式下操作时将估计的多尺度参数从多尺度模型传递到分子模型，并且生成 ，使用机器学习过程，当系统在第二模式下操作时，基于分子发现的推断的多尺度参数。

    Method and system for advanced measurements computation and therapy planning from medical data and images using a multi-physics fluid-solid heart model
    5.
    发明授权
    Method and system for advanced measurements computation and therapy planning from medical data and images using a multi-physics fluid-solid heart model 有权
    使用多物理流体 - 固体心脏模型的医学数据和图像进行高级测量计算和治疗计划的方法和系统

    公开(公告)号：US09129053B2

    公开(公告)日：2015-09-08

    申请号：US13757517

    申请日：2013-02-01

    申请人： Tommaso Mansi ,  Viorel Mihalef ,  Xudong Zheng ,  Bogdan Georgescu ,  Saikiran Rapaka ,  Puneet Sharma ,  Ali Kamen ,  Dorin Comaniciu

    发明人： Tommaso Mansi ,  Viorel Mihalef ,  Xudong Zheng ,  Bogdan Georgescu ,  Saikiran Rapaka ,  Puneet Sharma ,  Ali Kamen ,  Dorin Comaniciu

    IPC分类号： G06F19/00 ,  G06T19/00

    CPC分类号： G06F19/3437 ,  G06F19/00 ,  G06T19/00 ,  G06T2210/41 ,  G16H50/50

    摘要： Method and system for computation of advanced heart measurements from medical images and data; and therapy planning using a patient-specific multi-physics fluid-solid heart model is disclosed. A patient-specific anatomical model of the left and right ventricles is generated from medical image patient data. A patient-specific computational heart model is generated based on the patient-specific anatomical model of the left and right ventricles and patient-specific clinical data. The computational model includes biomechanics, electrophysiology and hemodynamics. To generate the patient-specific computational heart model, initial patient-specific parameters of an electrophysiology model, initial patient-specific parameters of a biomechanics model, and initial patient-specific computational fluid dynamics (CFD) boundary conditions are marginally estimated. A coupled fluid-structure interaction (FSI) simulation is performed using the initial patient-specific parameters, and the initial patient-specific parameters are refined based on the coupled FSI simulation. The estimated model parameters then constitute new advanced measurements that can be used for decision making.

    摘要翻译： 用于从医学图像和数据计算先进心脏测量的方法和系统; 并且公开了使用患者特定的多物理流体 - 固体心脏模型的治疗计划。 从医学图像患者数据生成左心室和右心室的患者特异性解剖模型。 基于左心室和右心室的患者特异性解剖模型和患者特异性临床数据生成患者特异性计算心脏模型。 计算模型包括生物力学，电生理学和血液动力学。 为了产生患者特异性计算心脏模型，电生理模型的初始患者特异性参数，生物力学模型的初始患者特异性参数和初始患者特异性计算流体动力学（CFD）边界条件被轻微估计。 使用初始患者特异性参数进行耦合的流体结构相互作用（FSI）模拟，并且基于耦合的FSI模拟来改进初始的患者特异性参数。 估计的模型参数然后构成可用于决策的新的高级测量。

    Method and System for Advanced Measurements Computation and Therapy Planning from Medical Data and Images Using a Multi-Physics Fluid-Solid Heart Model
    6.
    发明申请
    Method and System for Advanced Measurements Computation and Therapy Planning from Medical Data and Images Using a Multi-Physics Fluid-Solid Heart Model 有权
    使用多物理流体固体心脏模型的医学数据和图像的高级测量计算和治疗计划的方法和系统

    公开(公告)号：US20130197884A1

    公开(公告)日：2013-08-01

    申请号：US13757517

    申请日：2013-02-01

    申请人： Tommaso Mansi ,  Viorel Mihalef ,  Xudong Zheng ,  Bogdan Georgescu ,  Saikiran Rapaka ,  Puneet Sharma ,  Ali Kamen ,  Dorin Comaniciu

    发明人： Tommaso Mansi ,  Viorel Mihalef ,  Xudong Zheng ,  Bogdan Georgescu ,  Saikiran Rapaka ,  Puneet Sharma ,  Ali Kamen ,  Dorin Comaniciu

    IPC分类号： G06F19/00

    CPC分类号： G06F19/3437 ,  G06F19/00 ,  G06T19/00 ,  G06T2210/41 ,  G16H50/50

    摘要： Method and system for computation of advanced heart measurements from medical images and data; and therapy planning using a patient-specific multi-physics fluid-solid heart model is disclosed. A patient-specific anatomical model of the left and right ventricles is generated from medical image patient data. A patient-specific computational heart model is generated based on the patient-specific anatomical model of the left and right ventricles and patient-specific clinical data. The computational model includes biomechanics, electrophysiology and hemodynamics. To generate the patient-specific computational heart model, initial patient-specific parameters of an electrophysiology model, initial patient-specific parameters of a biomechanics model, and initial patient-specific computational fluid dynamics (CFD) boundary conditions are marginally estimated. A coupled fluid-structure interaction (FSI) simulation is performed using the initial patient-specific parameters, and the initial patient-specific parameters are refined based on the coupled FSI simulation. The estimated model parameters then constitute new advanced measurements that can be used for decision making.

    摘要翻译： 用于从医学图像和数据计算先进心脏测量的方法和系统; 并且公开了使用患者特定的多物理流体 - 固体心脏模型的治疗计划。 从医学图像患者数据生成左心室和右心室的患者特异性解剖模型。 基于左心室和右心室的患者特异性解剖模型和患者特异性临床数据生成患者特异性计算心脏模型。 计算模型包括生物力学，电生理学和血液动力学。 为了产生患者特异性计算心脏模型，电生理模型的初始患者特异性参数，生物力学模型的初始患者特异性参数和初始患者特异性计算流体动力学（CFD）边界条件被轻微估计。 使用初始患者特异性参数进行耦合的流体结构相互作用（FSI）模拟，并且基于耦合的FSI模拟来改进初始的患者特异性参数。 估计的模型参数然后构成可用于决策的新的高级测量。

    Method and System for Patient Specific Planning of Cardiac Therapies on Preoperative Clinical Data and Medical Images
    7.
    发明申请
    Method and System for Patient Specific Planning of Cardiac Therapies on Preoperative Clinical Data and Medical Images 有权
    心脏手术患者术前临床资料和医学图像的方法与系统

    公开(公告)号：US20130197881A1

    公开(公告)日：2013-08-01

    申请号：US13754174

    申请日：2013-01-30

    申请人： Tommaso Mansi ,  Bogdan Georgescu ,  Xudong Zheng ,  Ali Kamen ,  Dorin Comaniciu

    发明人： Tommaso Mansi ,  Bogdan Georgescu ,  Xudong Zheng ,  Ali Kamen ,  Dorin Comaniciu

    IPC分类号： G06F17/50

    CPC分类号： G06F17/5009 ,  A61B5/0044 ,  A61B5/055 ,  A61B8/0883 ,  A61B2576/023 ,  A61N1/3627 ,  A61N1/36514 ,  A61N1/36585 ,  G06T17/00 ,  G06T2210/41 ,  G09B23/30 ,  G16H50/50

    摘要： A method and system for patient-specific planning of cardiac therapy, such as cardiac resynchronization therapy (CRT), based on preoperative clinical data and medical images, such as ECG data, magnetic resonance imaging (MRI) data, and ultrasound data, is disclosed. A patient-specific anatomical model of the left and right ventricles is generated from medical image data of a patient. A patient-specific computational heart model, which comprises cardiac electrophysiology, biomechanics and hemodynamics, is generated based on the patient-specific anatomical model of the left and right ventricles and clinical data. Simulations of cardiac therapies, such as CRT at one or more anatomical locations are performed using the patient-specific computational heart model. Changes in clinical cardiac parameters are then computed from the patient-specific model, constituting predictors of therapy outcome useful for therapy planning and optimization.

    摘要翻译： 公开了基于术前临床数据和医学图像（例如ECG数据，磁共振成像（MRI）数据和超声数据）的心脏治疗的患者特异性规划的方法和系统，例如心脏再同步治疗（CRT） 。 从患者的医学图像数据产生左心室和右心室的患者特异性解剖模型。 基于左心室和右心室的患者特异性解剖模型和临床数据生成包括心脏电生理学，生物力学和血液动力学的患者特异性计算心脏模型。 使用患者特异性计算心脏模型进行心脏治疗的模拟，例如在一个或多个解剖位置处的CRT。 然后从患者特异性模型计算临床心脏参数的变化，构成对治疗计划和优化有用的治疗结果的预测因子。