Method and System for Patient Specific Planning of Cardiac Therapies on Preoperative Clinical Data and Medical Images
    11.
    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

    IPC分类号: G06F17/50

    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。

    SYSTEM AND METHODS FOR INTEGRATED AND PREDICTIVE ANALYSIS OF MOLECULAR, IMAGING, AND CLINICAL DATA FOR PATIENT-SPECIFIC MANAGEMENT OF DISEASES
    18.
    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

    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。

    Valve treatment simulation from medical diagnostic imaging data
    19.
    发明授权
    Valve treatment simulation from medical diagnostic imaging data 有权
    医疗诊断成像数据的阀门治疗模拟

    公开(公告)号:US08920322B2

    公开(公告)日:2014-12-30

    申请号:US13411711

    申请日:2012-03-05

    摘要: Valve treatment simulation is performed from patient specific imaging data for therapy planning. A model of the valve may be generated from the patient specific data automatically or with very minimal user indication of anatomy locations relative to an image. Any characteristics for the valve not extracted from images of the patient may be added to create a volumetric model. Added characteristics include chordae, such as chordae length and leaflet fiber direction. The characteristics may be adjusted based on user feedback and/or comparison with images of the patient. The effect of therapy on closure of the valve may be simulated from the model. For instance, mitral clip intervention is simulated on the patient-specific model. Valves are deformed according to the clip location. Valve closure is then simulated to predict effect of the therapy in terms of mitral regurgitation.

    摘要翻译: 从治疗计划的患者特异性成像数据进行瓣膜治疗模拟。 阀的模型可以从患者特定数据自动生成,或者相对于图像的解剖位置的非常小的用户指示来生成。 可以添加不从患者图像中提取的瓣膜的任何特征以产生体积模型。 增加的特征包括腱索,如腱索长度和小叶纤维方向。 可以基于用户反馈和/或与患者的图像进行比较来调整特征。 可以从模型中模拟治疗对瓣膜闭合的影响。 例如,对患者特异性模型模拟二尖瓣夹持干预。 阀门根据夹子位置变形。 然后模拟瓣膜闭合以预测治疗在二尖瓣反流方面的效果。

    VALVE TREATMENT SIMULATION FROM MEDICAL DIAGNOSTIC IMAGING DATA
    20.
    发明申请
    VALVE TREATMENT SIMULATION FROM MEDICAL DIAGNOSTIC IMAGING DATA 有权
    医学诊断成像数据的阀门处理模拟

    公开(公告)号:US20120232386A1

    公开(公告)日:2012-09-13

    申请号:US13411711

    申请日:2012-03-05

    IPC分类号: A61B8/00

    摘要: Valve treatment simulation is performed from patient specific imaging data for therapy planning. A model of the valve may be generated from the patient specific data automatically or with very minimal user indication of anatomy locations relative to an image. Any characteristics for the valve not extracted from images of the patient may be added to create a volumetric model. Added characteristics include chordae, such as chordae length and leaflet fiber direction. The characteristics may be adjusted based on user feedback and/or comparison with images of the patient. The effect of therapy on closure of the valve may be simulated from the model. For instance, mitral clip intervention is simulated on the patient-specific model. Valves are deformed according to the clip location. Valve closure is then simulated to predict effect of the therapy in terms of mitral regurgitation.

    摘要翻译: 从治疗计划的患者特异性成像数据进行瓣膜治疗模拟。 阀的模型可以从患者特定数据自动生成,或者相对于图像的解剖位置的非常小的用户指示来生成。 可以添加不从患者图像中提取的瓣膜的任何特征以产生体积模型。 增加的特征包括腱索,如腱索长度和小叶纤维方向。 可以基于用户反馈和/或与患者的图像进行比较来调整特征。 可以从模型中模拟治疗对瓣膜闭合的影响。 例如,对患者特异性模型模拟二尖瓣夹持干预。 阀门根据夹子位置变形。 然后模拟瓣膜闭合以预测治疗在二尖瓣反流方面的效果。