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公开(公告)号：US20160292372A1
公开(公告)日：2016-10-06
申请号：US14442517
申请日：2013-11-15
CPC分类号： G16H50/20 , G06N3/0472 , G06N3/08
摘要： A method of identifying an optimum treatment for a patient suffering from coronary artery disease, comprising: (i) providing patient information selected from: (a) status in the patient of one or more coronary disease associated biomarkers; (b) one or more items of medical history information selected from prior condition history, intervention history and medication history; (c) one or more items of diagnostic history, if the patient has a diagnostic history; and (d) one or more items of demographic data; (ii) aggregating the patient information in: (a) a Bayesian network; (b) a machine learning and neural network; (c) a rule-based system; and (d) a regression-based system; (iii) deriving a predicted probabilistic adverse event outcome for each intervention comprising percutaneous coronary intervention by placement of a bare metal stent, or a drug-coated stent; or by coronary artery bypass grafting; and (iv) determining the intervention having the lowest predicted probabilistic adverse outcome.
摘要翻译： 一种鉴定患有冠状动脉疾病的患者的最佳治疗的方法，包括：（i）提供患者信息，所述患者信息选自：（a）患者中一种或多种冠状动脉疾病相关生物标志物的状态; （b）从先前情况史，干预史和用药史选择的一项或多项病史信息; （c）患者具有诊断史的一项或多项诊断史; 和（d）一个或多个人口统计数据项目; （ii）在以下方面聚合患者信息：（a）贝叶斯网络; （b）机器学习和神经网络; （c）基于规则的制度; 和（d）基于回归的系统; （iii）通过放置裸金属支架或药物涂层的支架，导出包括经皮冠状动脉介入的每个干预的预测概率不良事件结果; 或通过冠状动脉旁路移植术; 和（iv）确定具有最低预测概率不良结果的干预。
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公开(公告)号：US11450431B2
公开(公告)日：2022-09-20
申请号：US14442517
申请日：2013-11-15
摘要： A method of identifying an optimum treatment for a patient suffering from coronary artery disease, comprising: (i) providing patient information selected from: (a) status in the patient of one or more coronary disease associated biomarkers; (b) one or more items of medical history information selected from prior condition history, intervention history and medication history; (c) one or more items of diagnostic history, if the patient has a diagnostic history; and (d) one or more items of demographic data; (ii) aggregating the patient information in: (a) a Bayesian network; (b) a machine learning and neural network; (c) a rule-based system; and (d) a regression-based system; (iii) deriving a predicted probabilistic adverse event outcome for each intervention comprising percutaneous coronary intervention by placement of a bare metal stent, or a drug-coated stent; or by coronary artery bypass grafting; and (iv) determining the intervention having the lowest predicted probabilistic adverse outcome.
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3.发明授权Method and system for cooperative diversity visual cognition in wireless video sensor networks 有权无线视频传感器网络中协同多样性视觉认知的方法与系统公开(公告)号：US09398268B2
公开(公告)日：2016-07-19
申请号：US13480064
申请日：2012-05-24
CPC分类号： H04N7/181
摘要： A method and system for cooperative diversity visual cognition in a wireless sensor network is disclosed. The method and system are capable of solving distributed visual cognition tasks (for example, online simultaneous reconstruction of 3D models of a large area) by using multiple video streams and exploiting cooperative diversity video sensing information while ensuring an optimal tradeoff between energy consumption and video quality of images received from said multiple video streams.
摘要翻译： 本发明公开了一种无线传感器网络中的协同分集视觉认知的方法和系统。 该方法和系统能够通过使用多个视频流解决分布式视觉认知任务（例如，大面积的3D模型的在线同时重建），并利用协同分集视频传感信息，同时确保能量消耗与视频质量之间的最佳权衡 从所述多个视频流接收的图像。
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4.发明申请Method and System for Cooperative Diversity Visual Cognition in Wireless Video Sensor Networks 有权无线视频传感器网络中协作多样性视觉认知的方法与系统公开(公告)号：US20120300068A1
公开(公告)日：2012-11-29
申请号：US13480064
申请日：2012-05-24
IPC分类号： H04N7/18
CPC分类号： H04N7/181
摘要： A method and system for cooperative diversity visual cognition in a wireless sensor network is disclosed. The method and system are capable of solving distributed visual cognition tasks (for example, online simultaneous reconstruction of 3D models of a large area) by using multiple video streams and exploiting cooperative diversity video sensing information while ensuring an optimal tradeoff between energy consumption and video quality of images received from said multiple video streams.
摘要翻译： 公开了一种在无线传感器网络中进行协同多样化视觉认知的方法和系统。 该方法和系统能够通过使用多个视频流解决分布式视觉认知任务（例如，大面积的3D模型的在线同时重建），并利用协同分集视频传感信息，同时确保能量消耗与视频质量之间的最佳权衡 从所述多个视频流接收的图像。
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公开(公告)号：US20190197199A9
公开(公告)日：2019-06-27
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.
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公开(公告)号：US10297341B2
公开(公告)日：2019-05-21
申请号：US14025039
申请日：2013-09-12
申请人： Lucian Mihai Itu , Puneet Sharma , Ali Kamen , Dorin Comaniciu
发明人： Lucian Mihai Itu , Puneet Sharma , Ali Kamen , Dorin Comaniciu
摘要： A method for modeling a blood vessel includes: (a) modeling a first segment of the blood vessel based on medical imaging data acquired from a subject; (b) computing a first modeling parameter at an interior point of the first segment; and (c) computing a second modeling parameter at a boundary point of the first segment using a viscoelastic wall model. Systems for modeling a blood vessel are described.
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公开(公告)号：US10296809B2
公开(公告)日：2019-05-21
申请号：US13780230
申请日：2013-02-28
申请人： Saikiran Rapaka , Tommaso Mansi , Bogdan Georgescu , Ali Kamen , Dorin Comaniciu
发明人： Saikiran Rapaka , Tommaso Mansi , Bogdan Georgescu , Ali Kamen , Dorin Comaniciu
摘要： A method and system for patient-specific cardiac electrophysiology is disclosed. Particularly, a patient-specific anatomical model of a heart is generated from medical image data of a patient, a level-set representation of the patient-specific anatomical model is generated of the heart on a Cartesian grid; and a transmembrane action potential at each node of the level-set representation of the of the patient-specific anatomical model of the heart is computed on a Cartesian grid.
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8.发明授权Method and system for integrated radiological and pathological information for diagnosis, therapy selection, and monitoring 有权用于诊断，治疗选择和监测的综合放射学和病理学信息的方法和系统公开(公告)号：US09478022B2
公开(公告)日：2016-10-25
申请号：US14240534
申请日：2012-08-22
申请人： Ali Kamen , Leo Grady , Gianluca Paladini , Parmeshwar Khurd , Oliver Kutter , Dorin Comaniciu
发明人： Ali Kamen , Leo Grady , Gianluca Paladini , Parmeshwar Khurd , Oliver Kutter , Dorin Comaniciu
CPC分类号： G06T7/0012 , A61B6/12 , A61B6/463 , A61B6/467 , A61B8/0841 , A61B8/463 , A61B8/465 , A61B8/467 , A61B10/02 , G06F19/00 , G06F19/3481 , G06T2207/30004 , G16H50/20
摘要： A method and system for integrating radiological and pathological information for cancer diagnosis, therapy selection, and monitoring is disclosed. A radiological image of a patient, such as a magnetic resonance (MR), computed tomography (CT), positron emission tomography (PET), or ultrasound image, is received. A location corresponding to each of one or more biopsy samples is determined in the at least one radiological image. An integrated display is used to display a histological image corresponding to the each biopsy samples, the radiological image, and the location corresponding to each biopsy samples in the radiological image. Pathological information and radiological information are integrated by combining features extracted from the histological images and the features extracted from the corresponding locations in the radiological image for cancer grading, prognosis prediction, and therapy selection.
摘要翻译： 公开了用于整合放射学和病理学信息用于癌症诊断，治疗选择和监测的方法和系统。 接收患者的放射学图像，例如磁共振（MR），计算机断层摄影（CT），正电子发射断层摄影（PET）或超声图像。 在至少一个放射图像中确定与一个或多个活检样本中的每一个对应的位置。 使用集成显示器来显示对应于每个活检样本，放射图像和对应于放射图像中的每个活检样本的位置的组织学图像。 通过组合图像提取的特征和从放射图像中相应位置提取的特征，进行癌症分级，预后预测和治疗选择，整合病理信息和放射学信息。
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9.发明申请公开(公告)号：US20140136174A1
公开(公告)日：2014-05-15
申请号：US14071688
申请日：2013-11-05
申请人： Chloe Audigier , Tommaso Mansi , Viorel Mihalef , Ali Kamen , Dorin Comaniciu , Puneet Sharma , Saikiran Rapaka , Herve Delingette , Nicholas Ayache
发明人： Chloe Audigier , Tommaso Mansi , Viorel Mihalef , Ali Kamen , Dorin Comaniciu , Puneet Sharma , Saikiran Rapaka , Herve Delingette , Nicholas Ayache
IPC分类号： G06F19/12
CPC分类号： G16H50/50 , G06F19/00 , G06F19/3481 , G09B23/30
摘要： A method and system for tumor ablation planning and guidance based on a patient-specific model of liver tumor ablation is disclosed. A patient-specific anatomical model of the liver and circulatory system of the liver is estimated from 3D medical image data of a patient. Blood flow in the liver and the circulatory system of the liver is simulated based on the patient-specific anatomical model. Heat diffusion due to ablation is simulated based on a virtual ablation probe position and the simulated blood flow in the liver and the venous system of the liver. Cellular necrosis in the liver is simulated based on the simulated heat diffusion. A visualization of a simulated necrosis region is generated and displayed to the user for decision making and optimal therapy planning and guidance.
摘要翻译： 公开了一种基于肝肿瘤消融的患者特异性模型的肿瘤消融计划和指导的方法和系统。 根据患者的3D医学图像数据估计肝脏和肝脏循环系统的患者特异性解剖模型。 根据患者特异性解剖模型模拟肝脏和肝脏循环系统的血流。 基于虚拟消融探针位置和肝脏和肝脏静脉系统中的模拟血流模拟了消融引起的热扩散。 基于模拟热扩散模拟肝脏细胞坏死。 生成模拟坏死区域的可视化，并向用户显示决策和最佳治疗计划和指导。
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10.发明申请Method and System for Multi-Scale Anatomical and Functional Modeling of Coronary Circulation 审中-公开冠状动脉循环多尺度解剖与功能建模方法与系统公开(公告)号：US20130132054A1
公开(公告)日：2013-05-23
申请号：US13672781
申请日：2012-11-09
申请人： Puneet Sharma , Lucian Mihai Itu , Bogdan Georgescu , Viorel Mihalef , Ali Kamen , Dorin Comaniciu
发明人： Puneet Sharma , Lucian Mihai Itu , Bogdan Georgescu , Viorel Mihalef , Ali Kamen , Dorin Comaniciu
IPC分类号： G06F19/12
CPC分类号： G06F19/12 , G06F19/00 , G06F19/321 , G16H50/30 , G16H50/50
摘要： A method and system for multi-scale anatomical and functional modeling of coronary circulation is disclosed. A patient-specific anatomical model of coronary arteries and the heart is generated from medical image data of a patient. A multi-scale functional model of coronary circulation is generated based on the patient-specific anatomical model. Blood flow is simulated in at least one stenosis region of at least one coronary artery using the multi-scale function model of coronary circulation. Hemodynamic quantities, such as fractional flow reserve (FFR), are computed to determine a functional assessment of the stenosis, and virtual intervention simulations are performed using the multi-scale function model of coronary circulation for decision support and intervention planning.
摘要翻译： 公开了一种用于冠状循环多尺度解剖和功能建模的方法和系统。 冠状动脉和心脏的患者特异性解剖模型由患者的医学图像数据产生。 基于患者特异性解剖模型产生冠状动脉循环的多尺度功能模型。 使用冠状动脉循环的多尺度功能模型在至少一个冠状动脉的至少一个狭窄区域中模拟血流量。 计算血流动力学量，例如分数流量储备（FFR），以确定狭窄的功能评估，并使用冠状动脉循环的多尺度函数模型进行虚拟干预模拟，以进行决策支持和干预计划。
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