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1. 发明申请

WO2018057529A1 SYSTEM AND METHODS FOR ESTIMATION OF BLOOD FLOW CHARACTERISTICS USING REDUCED ORDER MODEL AND MACHINE LEARNING 审中-公开
标题翻译：用降阶模型和机器学习估计血流特征的系统和方法
公开(公告)号：WO2018057529A1
公开(公告)日：2018-03-29
申请号：PCT/US2017/052317
申请日：2017-09-19
申请人： HEARTFLOW, INC.
发明人： SANDERS, Travis, Michael , SANKARAN, Sethuraman , GRADY, Leo , SPAIN, David , XIAO, Nan , KIM, Jin , TAYLOR, Charles
IPC分类号： G06F19/00 , A61B5/02 , G06F19/10 , G06Q50/22
摘要： Systems and methods are disclosed for determining blood flow characteristics of a patient. One method includes: receiving, in an electronic storage medium, patient-specific image data of at least a portion of vasculature of the patient having geometric features at one or more points; generating a patient-specific reduced order mode! from the received image data, the patient-specific reduced order model comprising estimates of impedance values and a simplification of the geometric features at the one or more points of the vasculature of the patient; creating a feature vector comprising the estimates of impedance values and geometric features for each of the one or more points of the patient-specific reduced order model; and determining blood flow characteristics at the one or more points of the patient- specific reduced order model using a machine learning algorithm trained to predict blood flow characteristics based on the created feature vectors at the one or more points.
摘要翻译：公开了用于确定患者的血流特征的系统和方法。一种方法包括：在电子存储介质中接收在一个或多个点处具有几何特征的患者的脉管系统的至少一部分的患者特异性图像数据; 生成患者特定的降序模式！从所接收的图像数据中确定患者特异性降阶模型，其包括患者脉管系统的一个或多个点处的阻抗值的估计和几何特征的简化; 创建特征向量，所述特征向量包括所述患者特异性降阶模型的所述一个或多个点中的每个点的阻抗值和几何特征的估计值; 以及使用机器学习算法确定在患者特异性降阶模型的一个或多个点处的血流特性，所述机器学习算法被训练成基于在一个或多个点处生成的特征矢量来预测血流特性。

2. 发明申请

WO2016022533A1 SYSTEMS AND METHODS FOR TREATMENT PLANNING BASED ON PLAQUE PROGRESSION REGRESSION CURVES 审中-公开
标题翻译：基于PLAQUE进程回归曲线的处理规划系统与方法
公开(公告)号：WO2016022533A1
公开(公告)日：2016-02-11
申请号：PCT/US2015/043565
申请日：2015-08-04
申请人： HEARTFLOW, INC.
发明人： SANKARAN, Sethuraman , TAYLOR, Charles, A. , CHOI, Gilwoo , SCHAAP, Michael , ZARINS, Christopher, K. , GRADY, Leo, J.
IPC分类号： A61B5/02 , G06F19/00 , A61B5/00 , A61B6/00 , A61B5/026 , G06T7/00
CPC分类号： A61B34/10 , A61B5/02007 , A61B5/02028 , A61B5/026 , A61B5/7275 , A61B6/032 , A61B6/504 , A61B6/507 , A61B6/5217 , A61B2034/105 , G06F17/50 , G06F17/5009 , G06F19/00 , G06F19/26 , G06F19/325 , G06T7/0012 , G06T2207/30096 , G06T2207/30101 , G16H50/20 , G16H50/30 , G16H50/50
摘要： Systems and methods are disclosed for evaluating a patient with vascular disease. One method includes receiving patient-specific data regarding a geometry of the patient's vasculature; creating an anatomic model representing at least a portion of a location of disease in the patient's vasculature based on the received patient-specific data; identifying one or more changes in geometry of the anatomic model based on a modeled progression or regression of disease at the location; calculating one or more values of a blood flow characteristic within the patient's vasculature using a computational model based on the identified one or more changes in geometry of the anatomic model; and generating an electronic graphical display of a relationship between the one or more values of the calculated blood flow characteristic and the identified one or more changes in geometry of the anatomic model.
摘要翻译：公开了用于评估血管疾病患者的系统和方法。一种方法包括接收关于患者脉管系统的几何形状的患者特定数据; 基于所接收的患者特定数据，创建代表病人脉管系统中疾病位置的至少一部分的解剖模型; 基于在该位置处的疾病的建模进展或消退来识别解剖模型的几何的一个或多个变化; 使用基于所识别的解剖模型的几何形状的一个或多个改变的计算模型来计算患者脉管系统内的血流特性的一个或多个值; 以及生成计算出的血流特性的一个或多个值与所识别的一个或多个解剖模型的几何变化之间的关系的电子图形显示。

3. 发明申请

WO2018031663A1 SYSTEMS AND METHODS FOR MODELING NUTRIENT TRANSPORT AND/OR PREDICTING WEIGHT CHANGE 审中-公开
标题翻译：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
申请人： HEARTFLOW, INC.
发明人： SANKARAN, Sethuraman , ZARINS, Christopher , TAYLOR, Charles, A. , GRADY, Leo
IPC分类号： G06F19/00
CPC分类号： G09B23/303 , G06F19/3475 , G06N5/048 , G06N20/00 , G09B9/00 , G16H50/20 , G16H50/50
摘要： 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.
摘要翻译：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。

4. 发明申请

WO2017160994A1 SYSTEMS AND METHODS FOR ESTIMATING HEALTHY LUMEN DIAMETER AND STENOSIS QUANTIFICATION IN CORONARY ARTERIES 审中-公开
标题翻译：用于评估冠状动脉中健康的直径和狭窄量化的系统和方法
公开(公告)号：WO2017160994A1
公开(公告)日：2017-09-21
申请号：PCT/US2017/022525
申请日：2017-03-15
申请人： HEARTFLOW, INC.
发明人： SANKARAN, Sethuraman , SCHAAP, Michiel , GRADY, Leo
IPC分类号： A61B5/02 , G06T7/00
摘要： Systems and methods are disclosed for predicting healthy lumen radius and calculating a vessel lumen narrowing score One method of identifying a lumen diameter of a patient's vasculature includes: receiving a data set including one or more lumen segmentations of known healthy vessel segments of a plurality of individuals; extracting one or more lumen features for each of the vessel segments; receiving a lumen segmentation of a patient's vasculature; determining a section of the patient's vasculature; and determining a healthy lumen diameter of the section of the patient's vasculature using the extracted one or more features for each of the known healthy vessel segments of the plurality of individuals.
摘要翻译：公开了用于预测健康管腔半径和计算血管管腔变窄分数的系统和方法。识别患者脉管系统的管腔直径的一种方法包括：接收包括一个或多个已知的管腔分割的数据集多个个体的健康血管片段; 为每个血管段提取一个或多个腔特征; 接收患者脉管系统的管腔分割; 确定患者脉管系统的一部分; 以及使用针对多个个体的每个已知健康血管段的提取的一个或多个特征来确定患者脉管系统的部分的健康管腔直径。

5. 发明申请

WO2017096242A1 SYSTEMS AND METHODS FOR ASSOCIATING MEDICAL IMAGES WITH A PATIENT 审中-公开
标题翻译：用于将医学图像与患者相关联的系统和方法
公开(公告)号：WO2017096242A1
公开(公告)日：2017-06-08
申请号：PCT/US2016/064741
申请日：2016-12-02
申请人： HEARTFLOW, INC.
发明人： GRADY, Leo , ZARINS, Christopher , HAHN, Edward, Karl , BAI, Ying , SANKARAN, Sethuraman , PETERSEN, Peter, K. , SCHAAP, Michiel
IPC分类号： G06F19/00
CPC分类号： G16H50/50 , A61B5/4842 , A61B5/4848 , A61B5/7271 , A61B5/742 , A61B2576/00 , G06F19/00 , G06F19/321 , G06T7/0016 , G16H10/60
摘要： Systems and methods are disclosed for associating medical images with a patient. One method includes: receiving two or more medical images of patient anatomy in an electronic storage medium; generating an anatomical model for each of the received medical images; comparing the generated anatomical models; determining a score assessing the likelihood that the two or more medical images belong to the same patient, using the comparison of the generated anatomical models; and outputting the score to an electronic storage medium or display.
摘要翻译：公开了用于将医学图像与患者相关联的系统和方法。一种方法包括：在电子存储介质中接收患者解剖结构的两个或更多个医学图像; 为每个所接收的医学图像生成解剖模型; 比较产生的解剖模型; 使用所产生的解剖模型的比较来确定评估所述两个或更多个医学图像属于同一患者的可能性的分数; 并将分数输出到电子存储介质或显示器。

6. 发明申请

WO2017015062A1 SYSTEMS AND METHODS FOR ASSESSING THE SEVERITY OF PLAQUE AND/OR STENOTIC LESIONS USING CONTRAST DISTRIBUTION PREDICTIONS AND MEASUREMENTS 审中-公开
标题翻译：使用对比分布预测和测量来评估PLAQUE和/或STENOTION LESIONS的严重程度的系统和方法
公开(公告)号：WO2017015062A1
公开(公告)日：2017-01-26
申请号：PCT/US2016/042325
申请日：2016-07-14
申请人： HEARTFLOW, INC.
发明人： TAYLOR, Charles A. , GRADY, Leo , SANKARAN, Sethuraman , SENGUPTA, Souma , KIM, Hyun Jin , XIAO, Nan
IPC分类号： G06F19/00
CPC分类号： A61B6/563 , A61B5/026 , A61B6/032 , A61B6/504 , A61B6/507 , A61B6/5217 , A61B8/06 , A61B8/481 , G06F19/00 , G06T7/0012 , G06T2207/10081 , G06T2207/30101 , G06T2207/30104 , G16H50/50
摘要： Systems and methods are disclosed for assessing the severity of plaque and/or stenotic lesions using contrast distribution predictions and measurements. One method includes: receiving patient-specific images of a patient's vasculature and a measured distribution of a contrast agent delivered through the patient's vasculature; associating the measured distribution of the contrast agent with a patient-specific anatomic model of the patient's vasculature; defining physiological and boundary conditions of a blood flow model of the patient's blood flow and pressure; simulating the distribution of the contrast agent through the patient-specific anatomic model; comparing the measured distribution of the contrast agent and the simulated distribution of the contrast agent through the patient-specific anatomic model to determine whether a similarity condition is satisfied; and updating the defined physiological and boundary conditions and re-simulating distribution of the contrast agent through the one or more points of the patient-specific anatomic model until the similarity condition is satisfied.
摘要翻译：公开了使用对比度分布预测和测量来评估斑块和/或狭窄病变的严重性的系统和方法。一种方法包括：接收患者脉管系统的患者特异性图像和通过患者脉管系统递送的造影剂的测量分布; 将造影剂的测量分布与患者脉管系统的患者特异性解剖模型相关联; 定义患者血流和血压的血流模型的生理和边界条件; 通过患者特异性解剖模型模拟造影剂的分布; 通过患者特异性解剖模型比较造影剂的测量分布和造影剂的模拟分布，以确定是否满足相似性条件; 以及更新所定义的生理和边界条件，并通过患者特异性解剖模型的一个或多个点重新模拟造影剂的分布，直到满足相似性条件。

7. 发明申请

WO2016172203A1 SYSTEMS AND METHODS FOR RISK ASSESSMENT AND TREATMENT PLANNING OF ARTERIO-VENOUS MALFORMATION 审中-公开
标题翻译：风险评估与治疗方法的系统与方法
公开(公告)号：WO2016172203A1
公开(公告)日：2016-10-27
申请号：PCT/US2016/028432
申请日：2016-04-20
申请人： HEARTFLOW, INC.
发明人： SANKARAN, Sethuraman , ZARINS, Christopher , GRADY, Leo
IPC分类号： G06F19/00 , A61B5/00 , A61B5/02 , A61B5/055 , A61B8/06
CPC分类号： A61B34/10 , A61B5/0035 , A61B5/0073 , A61B5/02007 , A61B5/055 , A61B5/4848 , A61B5/7275 , A61B2034/105 , A61B2505/05 , G06F19/00 , G06T7/0012 , G06T7/20 , G06T11/003 , G06T2207/10081 , G06T2207/10088 , G06T2207/30104 , G16H50/30 , G16H50/50
摘要： A computer implemented method for assessing an arterio-venous malformation (AVM) may include, for example, receiving a patient-specific model of a portion of an anatomy of a patient; using a computer processor to analyze the patient-specific model for identifying one or more blood vessels associated with the AVM, in the patient-specific model; and estimating a risk of an undesirable outcome caused by the AVM, by performing computer simulations of blood flow through the one or more blood vessels associated with the AVM in the patient-specific model.
摘要翻译：用于评估动静脉畸形（AVM）的计算机实现的方法可以包括例如接收患者的解剖结构的一部分的患者特定模型; 使用计算机处理器在患者特异性模型中分析用于识别与AVM相关联的一个或多个血管的患者特异性模型; 以及通过对患者特定模型中与AVM相关联的一个或多个血管进行血流的计算机模拟来估计由AVM引起的不期望的结果的风险。

8. 发明申请

WO2016073246A1 SYSTEMS AND METHODS FOR SIMULATION OF HEMODIALSIS ACCESS AND OPTIMIZATION 审中-公开
标题翻译： HEMODIALSIS访问和优化的模拟系统和方法
公开(公告)号：WO2016073246A1
公开(公告)日：2016-05-12
申请号：PCT/US2015/057731
申请日：2015-10-28
申请人： HEARTFLOW, INC
发明人： SANKARAN, Sethuraman , GRADY, Leo, J. , TAYLOR, Charles, A. , ZARINS, Christopher, K.
IPC分类号： G06F19/00 , A61M1/00
CPC分类号： A61B34/10 , A61B2034/104 , A61B2034/105 , A61M1/00 , A61M1/3653 , A61M1/3655 , A61M1/3659 , A61M1/3661 , G06F19/00 , G16H50/30 , G16H50/50
摘要： Systems and methods are disclosed for simulating or optimizing hemodialysis access. One method includes receiving a patient-specific anatomic model of a patient's vasculature; computing a pre-treatment hemodynamic characteristic of a pre-treatment geometry of a portion of the anatomic model; simulating a post-treatment geometry of a vascular access in the portion of the anatomic model; computing a post-treatment hemodynamic characteristic of the post-treatment geometry of the portion of the anatomic model having the vascular access; and generating a representation of the pre-treatment hemodynamic characteristic or the post-treatment hemodynamic characteristic.
摘要翻译：公开了用于模拟或优化血液透析通路的系统和方法。一种方法包括接收患者脉管系统的患者特异性解剖模型; 计算解剖模型的一部分的预处理几何形状的预处理血流动力学特征; 模拟解剖模型部分中的血管通路的后处理几何形状; 计算具有血管通路的解剖模型部分的后处理几何形状的后处理血流动力特性; 并产生预处理血液动力学特征或后处理血液动力学特性的表示。

9. 发明申请

WO2015164297A1 SYSTEMS AND METHODS FOR VIRTUAL CONTRAST AGENT SIMULATION AND COMPUTATIONAL FLUID DYNAMICS 审中-公开
标题翻译：虚拟对比剂仿真和计算流体动力学的系统与方法
公开(公告)号：WO2015164297A1
公开(公告)日：2015-10-29
申请号：PCT/US2015/026750
申请日：2015-04-21
申请人： HEARTFLOW, INC.
发明人： SANKARAN, Sethuraman , GRADY, Leo, J. , TAYLOR, Charles, A.
IPC分类号： G06F19/00
CPC分类号： G16H50/30 , A61B5/02007 , A61B5/026 , A61B5/7275 , A61B6/481 , A61B6/503 , A61B6/504 , A61B6/507 , A61B6/5217 , G06F19/00 , G06F19/322 , G06F19/3431 , G06F19/3437 , G06T2207/30048 , G06T2207/30104 , G16H10/60 , G16H50/50
摘要： Systems and methods are disclosed for assessing a risk of disease. One method includes obtaining an anatomic model associated with a target anatomy; modeling, using a processor, an injection of one or more virtual contrast agents into the anatomic model; performing a simulation of flow of blood and the one or more virtual contrast agents through the anatomic model; and computing one or more characteristics of concentration associated with the one or more virtual contrast agents at one or more locations in the anatomic model based on the simulation.
摘要翻译：公开了用于评估疾病风险的系统和方法。一种方法包括获得与目标解剖结构相关联的解剖模型; 建模，使用处理器，将一个或多个虚拟造影剂注射到解剖模型中; 通过解剖模型执行血液和一种或多种虚拟造影剂的流动的模拟; 以及基于所述模拟来计算在所述解剖模型中的一个或多个位置处与所述一个或多个虚拟造影剂相关联的浓度的一个或多个特征。

10. 发明申请

WO2020236639A1 SYSTEM AND METHODS FOR ESTIMATION OF BLOOD FLOW USING RESPONSE SURFACE AND REDUCED ORDER MODELING 审中-公开
公开(公告)号：WO2020236639A1
公开(公告)日：2020-11-26
申请号：PCT/US2020/033239
申请日：2020-05-15
申请人： HEARTFLOW, INC.
发明人： SANKARAN, Sethuraman , LESAGE, David , TAYLOR, Charles , XIAO, Nan , KIM, Hyun, Jin , SPAIN, David , SCHAAP, Michiel
IPC分类号： G16H50/50
摘要： Systems and methods are disclosed for blood flow simulation. For example, a method may include performing a plurality of blood flow simulations using a first model of vascular blood flow, each of the plurality of blood flow simulations simulating blood flow in a vasculature of a patient or a geometry based on the vasculature of the patient; based on results of the plurality of blood flow simulations, generating a response surface mapping one or more first parameters of the first model to one or more second parameters of a reduced order model of vascular blood; determining values for the one or more parameters of the reduced order model mapped, by the response surface, from parameter values representing a modified state of the vasculature; and performing simulation using the reduced order model parameterized by the determined values, to determine a blood flow characteristic of the modified state of the vasculature.

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