中科微点-全球专利检索

  1. Login
  2. Sign Up

Search Results

33 records (took 0.015 seconds)

    SYSTEMS AND METHODS FOR MODELING NUTRIENT TRANSPORT AND/OR PREDICTING WEIGHT CHANGE
    1.
    发明申请
    SYSTEMS AND METHODS FOR MODELING NUTRIENT TRANSPORT AND/OR PREDICTING WEIGHT CHANGE 审中-公开
    用于模拟营养物输送和/或预测重量变化的系统和方法

    公开(公告)号：WO2018031663A1

    公开(公告)日：2018-02-15

    申请号：PCT/US2017/046104

    申请日：2017-08-09

    Applicant: HEARTFLOW, INC.

    Inventor： SANKARAN, Sethuraman ,  ZARINS, Christopher ,  TAYLOR, Charles, A. ,  GRADY, Leo

    IPC: G06F19/00

    CPC classification number: G09B23/303 ,  G06F19/3475 ,  G06N5/048 ,  G06N20/00 ,  G09B9/00 ,  G16H50/20 ,  G16H50/50

    Abstract: Systems and methods are disclosed for identifying and modeling unresolved vessels, and the effects thereof, in image-based patient-specific hemodynamic models. One method includes: receiving a patient-specific anatomical model of at least a portion of a visceral vascular system of the patient; receiving patient-specific information related to the patient's food intake; generating a patient-specific model of blood flow in the patient-specific anatomical model of the portion of the visceral vascular system of the patient; generating a patient-specific model of nutrient transport from at least a part of a gastrointestinal system of the patient to the portion of the visceral vascular system of the patient based on the patient-specific information related to the patient's food intake; and determining an indicia of energy available in the patient based on the patient-specific model of nutrient transport.

    Abstract translation: 公开了用于在基于图像的患者特异性血液动力学模型中识别和建模未分解血管及其效果的系统和方法。 一种方法包括：接收患者的至少一部分内脏血管系统的患者特异性解剖模型; 接收与患者食物摄入有关的患者特异性信息; 在所述患者的所述内脏血管系统的所述部分的所述患者特异性解剖模型中生成患者特异性血流模型; 基于与患者食物摄取有关的患者特异性信息，生成从患者的胃肠系统的至少一部分到患者的内脏血管系统的一部分的营养转运的患者特异性模型; 并且基于患者特定的营养输送模型来确定患者中可用的能量标记。

    SYSTEMS AND METHODS FOR PREDICTING PERFUSION DEFICITS FROM PHYSIOLOGICAL, ANATOMICAL, AND PATIENT CHARACTERISTICS
    2.
    发明申请
    SYSTEMS AND METHODS FOR PREDICTING PERFUSION DEFICITS FROM PHYSIOLOGICAL, ANATOMICAL, AND PATIENT CHARACTERISTICS 审中-公开
    从生理学，解剖学和患者特征预测灌注缺陷的系统和方法

    公开(公告)号：WO2016161308A1

    公开(公告)日：2016-10-06

    申请号：PCT/US2016/025595

    申请日：2016-04-01

    Applicant: HEARTFLOW, INC.

    Inventor： GRADY, Leo ,  SCHAAP, Michiel ,  TAYLOR, Charles, A. ,  JAQUET, Clara

    IPC: A61B5/02 ,  A61B5/026 ,  G06F19/00

    CPC classification number: G06F19/3437 ,  A61B5/02007 ,  A61B5/026 ,  G06F19/00 ,  G06F19/321 ,  G16H50/20 ,  G16H50/50

    Abstract: Systems and methods are disclosed for using patient specific anatomical models and physiological parameters to estimate perfusion of a target tissue to guide diagnosis or treatment of cardiovascular disease. One method includes receiving a patient-specific vessel model and a patent-specific tissue model of a patient anatomy; extracting one or more patient-specific physiological parameters (e.g. blood flow, anatomical characteristics, image characteristics, etc.) from the vessel or tissue models for one or more physiological states of the patient; estimating a characteristic of the perfusion of the patient-specific tissue model (e.g., via a trained machine learning algorithm) using the patient-specific physiological parameters; and outputting the estimated perfusion characteristic to a display.

    Abstract translation: 公开了使用患者特异性解剖模型和生理参数来估计靶组织灌注以指导心血管疾病诊断或治疗的系统和方法。 一种方法包括接收患者特异性血管模型和患者解剖结构的专利特定组织模型; 从患者的一个或多个生理状态从血管或组织模型提取一个或多个患者特异性生理参数（例如血液流动，解剖特征，图像特征等） 使用患者特异性生理参数来估计患者特异性组织模型的灌注特征（例如经由训练的机器学习算法）; 并将估计的灌注特性输出到显示器。

    SYSTEMS AND METHODS FOR REPORTING BLOOD FLOW CHARACTERISTICS
    3.
    发明申请
    SYSTEMS AND METHODS FOR REPORTING BLOOD FLOW CHARACTERISTICS 审中-公开
    用于报告血流特征的系统和方法

    公开(公告)号：WO2015184169A1

    公开(公告)日：2015-12-03

    申请号：PCT/US2015/033030

    申请日：2015-05-28

    Applicant: HEARTFLOW, INC.

    Inventor： TAYLOR, Charles, A. ,  HART, Gregory, R.

    IPC: G01N33/48

    CPC classification number: G06F19/3437 ,  A61B5/02007 ,  A61B5/026 ,  A61B5/743 ,  A61B5/7475 ,  G06F19/00 ,  G06F19/321 ,  G16H10/60 ,  G16H50/50

    Abstract: Embodiments include a system for displays cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart and create a model representing at least a portion of the patient's heart based on the patient-specific data. The computer system may determine at least one value of the blood flow characteristic within the patient's heart based on the model. The computer system may also display a report comprising a representation of at least one artery corresponding to at least a portion the model, and display one or more indicators of the value of the blood flow characteristic on a corresponding portion of the at least one artery.

    Abstract translation: 实施例包括用于显示患者的心血管信息的系统。 系统可以包括至少一个计算机系统，其被配置为接收关于患者心脏的几何形状的患者特定数据，并且基于患者特定数据创建表示患者心脏的至少一部分的模型。 计算机系统可以基于模型确定患者心脏内的血流特性的至少一个值。 计算机系统还可以显示包括至少一个与至少一部分模型对应的动脉的表示的报告，并且在至少一个动脉的相应部分上显示血流特征值的一个或多个指示符。

    SYSTEMS AND METHODS FOR PREDICTING LOCATION, ONSET, AND/OR CHANGE OF CORONARY LESIONS
    4.
    发明申请
    SYSTEMS AND METHODS FOR PREDICTING LOCATION, ONSET, AND/OR CHANGE OF CORONARY LESIONS 审中-公开
    用于预测冠状动脉置入位置，ONSET和/或变化的系统和方法

    公开(公告)号：WO2015030998A2

    公开(公告)日：2015-03-05

    申请号：PCT/US2014/049562

    申请日：2014-08-04

    Applicant: HEARTFLOW, INC.

    Inventor： CHOI, Gilwoo ,  GRADY, Leo ,  TAYLOR, Charles, A.

    CPC classification number: G06T7/0012 ,  A61B5/02007 ,  A61B5/7275 ,  G06F19/00 ,  G06K9/4604 ,  G06K9/66 ,  G06N7/005 ,  G06N99/005 ,  G06T2207/10081 ,  G06T2207/10088 ,  G06T2207/10104 ,  G06T2207/10108 ,  G06T2207/10132 ,  G06T2207/30096 ,  G06T2207/30101 ,  G06T2207/30104 ,  G16H50/20 ,  G16H50/50

    Abstract: Systems and methods are disclosed for predicting the location, onset, or change of coronary lesions from factors like vessel geometry, physiology, and hemodynamics. One method includes: acquiring, for each of a plurality of individuals, a geometric model, blood flow characteristics, and plaque information for part of the individual's vascular system; training a machine learning algorithm based on the geometric models and blood flow characteristics for each of the plurality of individuals, and features predictive of the presence of plaque within the geometric models and blood flow characteristics of the plurality of individuals; acquiring, for a patient, a geometric model and blood flow characteristics for part of the patient's vascular system; and executing the machine learning algorithm on the patient's geometric model and blood flow characteristics to determine, based on the predictive features, plaque information of the patient for at least one point in the patient's geometric model.

    Abstract translation: 公开的系统和方法用于从血管几何，生理学和血液动力学等因素预测冠状动脉病变的位置，发病或变化。 一种方法包括：针对个体血管系统的一部分，为多个个体中的每一个获取几何模型，血流特征和斑块信息; 基于所述多个个体中的每个个体的几何模型和血液流动特征来训练机器学习算法，以及预测所述多个个体的几何模型和血液流动特征内斑块的存在的特征; 为患者获取部分患者血管系统的几何模型和血流特征; 以及对所述患者的几何模型和血液流动特性执行所述机器学习算法，以根据所述预测特征确定所述患者的患者几何模型中的至少一个点的斑块信息。

    SYSTEMS AND METHODS FOR VASCULAR DIAGNOSIS USING BLOOD FLOW MAGNITUDE AND/OR DIRECTION
    5.
    发明申请
    SYSTEMS AND METHODS FOR VASCULAR DIAGNOSIS USING BLOOD FLOW MAGNITUDE AND/OR DIRECTION 审中-公开
    使用血液流量和/或方向进行血管造影诊断的系统和方法

    公开(公告)号：WO2016126612A1

    公开(公告)日：2016-08-11

    申请号：PCT/US2016/015987

    申请日：2016-02-01

    Applicant: HEARTFLOW, INC.

    Inventor： GRADY, Leo, J. ,  TAYLOR, Charles, A.

    IPC: A61B5/026 ,  A61B8/06 ,  G06F19/00 ,  A61B6/00 ,  A61B5/00

    CPC classification number: A61B5/026 ,  A61B5/02028 ,  A61B5/7246 ,  A61B5/7275 ,  A61B5/7278 ,  A61B5/74 ,  A61B5/742 ,  A61B8/06 ,  A61B8/0891 ,  A61B8/488 ,  G06F19/00 ,  G16H50/50

    Abstract: Systems and methods are disclosed for diagnosing and treatment planning for vascular steal syndromes and retrograde flow. One method includes receiving a reference blood flow direction at a location in a reference vasculature; determining a patient-related blood flow direction at a location in a patient's vasculature corresponding to the location in the reference vasculature; determining a difference in direction, between the reference blood flow direction of the reference vasculature and the patient-related blood flow direction of the patient's vasculature; and generating a representation of the location in the patient's vasculature associated with the difference in direction between the reference blood flow direction and the patient-related blood flow direction, or generating a treatment recommendation for the patient's vasculature based on the difference in direction between the reference blood flow direction and the patient-related blood flow direction.

    Abstract translation: 公开了用于血管性盗窃综合征和逆行流的诊断和治疗计划的系统和方法。 一种方法包括在参考脉管系统中的位置处接收参考血流方向; 在对应于所述参考脉管系统中的位置的患者脉管系统中的位置处确定与患者相关的血液流动方向; 确定参考脉管系统的参考血流方向与患者脉管系统的与患者有关的血液流动方向之间的方向上的差异; 以及生成与参考血流方向与患者相关血流方向之间的方向差异相关的病人血管系统中的位置的表示，或者基于参考血流方向与患者相关的血流方向之间的方向的差异来产生对患者血管系统的治疗推荐 血流方向和患者血流方向。

    METHOD AND SYSTEM FOR QUANTIFYING LIMITATIONS IN CORONARY ARTERY BLOOD FLOW DURING PHYSICAL ACTIVITY IN PATIENTS WITH CORONARY ARTERY DISEASE
    6.
    发明申请
    METHOD AND SYSTEM FOR QUANTIFYING LIMITATIONS IN CORONARY ARTERY BLOOD FLOW DURING PHYSICAL ACTIVITY IN PATIENTS WITH CORONARY ARTERY DISEASE 审中-公开
    冠状动脉疾病患者身体活动期间冠状动脉血流量限制的方法和系统

    公开(公告)号：WO2016040410A1

    公开(公告)日：2016-03-17

    申请号：PCT/US2015/049071

    申请日：2015-09-09

    Applicant: HEARTFLOW, INC.

    Inventor： TAYLOR, Charles, A.

    IPC: G06F19/00

    CPC classification number: A61B5/7275 ,  A61B5/0044 ,  A61B5/021 ,  A61B5/029 ,  A61B2576/023 ,  G06F19/00 ,  G16H50/30 ,  G16H50/50 ,  Y02A90/26

    Abstract: Embodiments include a system for determining cardiovascular information for a patient with coronary artery disease. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart and create a model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create, for a given level of physical activity, a physics-based model of blood flow through the patient's heart simulated during a selected level of physical activity; determine and normalize one or more values of at least one blood flow characteristic within the patient's heart during the simulated level of physical activity; and compare the one or more normalized values of the at least one blood flow characteristic to a threshold to determine whether the level of physical activity exceeds an acceptable level of risk.

    Abstract translation: 实施例包括用于确定患有冠状动脉疾病的患者的心血管信息的系统。 该系统可以包括至少一个计算机系统，其被配置为接收关于患者心脏的几何形状的患者特定数据，并且基于患者特定数据创建表示患者心脏的至少一部分的模型。 所述至少一个计算机系统可以进一步配置为针对给定水平的身体活动，在所选择的身体活动水平期间模拟通过患者心脏的基于物理学的基于物理的模型; 在模拟的身体活动水平期间确定和归一化患者心脏内的至少一个血流特性的一个或多个值; 并且将所述至少一个血流特征的一个或多个归一化值与阈值进行比较，以确定身体活动的水平是否超过可接受的风险水平。

    SYSTEMS AND METHODS FOR PREDICTING CORONARY PLAQUE VULNERABILITY FROM PATIENT-SPECIFIC ANATOMIC IMAGE DATA
    8.
    发明申请
    SYSTEMS AND METHODS FOR PREDICTING CORONARY PLAQUE VULNERABILITY FROM PATIENT-SPECIFIC ANATOMIC IMAGE DATA 审中-公开
    用于预测患者特异性解剖图像数据中的冠状病变易感性的系统和方法

    公开(公告)号：WO2015095282A1

    公开(公告)日：2015-06-25

    申请号：PCT/US2014/070760

    申请日：2014-12-17

    Applicant: HEARTFLOW INC.

    Inventor： CHOI, Gilwoo ,  GRADY, Leo ,  SCHAAP, Michiel ,  TAYLOR, Charles, A.

    IPC: A61B6/00 ,  G06T7/00 ,  G06T7/60

    CPC classification number: A61B34/10 ,  A61B5/0066 ,  A61B5/02007 ,  A61B5/026 ,  A61B5/055 ,  A61B5/7275 ,  A61B6/032 ,  A61B6/503 ,  A61B6/504 ,  A61B6/5217 ,  A61B8/12 ,  G06F19/00 ,  G06T7/0012 ,  G06T2207/10104 ,  G06T2207/10108 ,  G06T2207/30104 ,  G16H50/30 ,  G16H50/50 ,  Y02A90/26

    Abstract: Systems and methods are disclosed for predicting coronary plaque vulnerability, using a computer system. One method includes acquiring anatomical image data of at least part of the patient's vascular system; performing, using a processor, one or more image characteristics analysis, geometrical analysis, computational fluid dynamics analysis, and structural mechanics analysis on the anatomical image data; predicting, using the processor, a coronary plaque vulnerability present in the patient's vascular system, wherein predicting the coronary plaque vulnerability includes calculating an adverse plaque characteristic based on results of the one or more of image characteristics analysis, geometrical analysis, computational fluid dynamics analysis, and structural mechanics analysis of the anatomical image data; and reporting, using the processor, the calculated adverse plaque characteristic.

    Abstract translation: 公开了使用计算机系统预测冠状动脉斑块脆弱性的系统和方法。 一种方法包括获取患者血管系统的至少一部分的解剖图像数据; 使用处理器对解剖图像数据进行一个或多个图像特征分析，几何分析，计算流体动力学分析和结构力学分析; 使用处理器来预测患者血管系统中存在的冠状动脉斑块脆弱性，其中预测冠状动脉斑块脆弱性包括基于图像特征分析，几何分析，计算流体动力学分析中的一个或多个的结果来计算不良斑块特征， 和解剖图像数据的结构力学分析; 并使用处理器报告计算出的不良斑块特征。

    SYSTEMS AND METHODS FOR PATIENT-SPECIFIC IMAGING AND MODELING OF DRUG DELIVERY
    9.
    发明申请
    SYSTEMS AND METHODS FOR PATIENT-SPECIFIC IMAGING AND MODELING OF DRUG DELIVERY 审中-公开
    用于患者特异性成像和药物递送建模的系统和方法

    公开(公告)号：WO2017049197A1

    公开(公告)日：2017-03-23

    申请号：PCT/US2016/052301

    申请日：2016-09-16

    Applicant: HEARTFLOW, INC.

    Inventor： CHOI, Gilwoo ,  GRADY, Leo ,  TAYLOR, Charles, A. ,  HUNLEY, Stanley, C.

    IPC: G06F19/00

    CPC classification number: G06F19/3456 ,  A61B5/4848 ,  G06F19/00 ,  G06F19/704 ,  G16H50/50

    Abstract: Systems and methods are disclosed for providing personalized chemotherapy and drug delivery using computational fluid dynamics and medical imaging with machine learning from a vascular anatomical model. One method includes receiving a patient-specific anatomical model of at least one vessel of the patient and a target tissue where a drug is to be supplied; receiving patient-specific information defining the administration of a drug; deriving patient-specific data from the patient specific anatomical model and/or the patient; determining one or more blood flow characteristics in a vascular network leading to the one or more locations in the target tissue where drug delivery data will be estimated or measured, using the patient-specific anatomical model and the patient-specific data; and computing drug delivery data at the one or more locations in the target tissue using transportation, spatial, and/or temporal distribution of the drug particles.

    Abstract translation: 公开了用于使用计算流体动力学和来自血管解剖模型的机器学习的医学成像来提供个性化化疗和药物递送的系统和方法。 一种方法包括接收患者的至少一个血管的患者特异性解剖模型和要供应药物的靶组织; 接收定义药物管理的患者特定信息; 从患者特异性解剖模型和/或患者获得患者特异性数据; 确定血管网络中的一个或多个血流特征，其导致靶组织中将使用患者特异性解剖模型和患者特异性数据估计或测量药物递送数据的一个或多个位置; 以及使用药物颗粒的运输，空间和/或时间分布来计算靶组织中的一个或多个位置处的药物递送数据。

Patent Agency Ranking