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405 条记录 (耗时 0.048 秒)

    Method and system for hemodynamic assessment of aortic coarctation from medical image data
    91.
    发明授权
    Method and system for hemodynamic assessment of aortic coarctation from medical image data 有权
    医学图像数据主动脉缩窄血流动力学评估方法与系统

    公开(公告)号：US09135699B2

    公开(公告)日：2015-09-15

    申请号：US13826307

    申请日：2013-03-14

    申请人： Kristof Ralovich ,  Lucian Mihai Itu ,  Viorel Mihalef ,  Puneet Sharma ,  Razvan Ioan Ionasec ,  Dime Vitanovski ,  Waldemar Krawtschuk ,  Dorin Comaniciu

    发明人： Kristof Ralovich ,  Lucian Mihai Itu ,  Viorel Mihalef ,  Puneet Sharma ,  Razvan Ioan Ionasec ,  Dime Vitanovski ,  Waldemar Krawtschuk ,  Dorin Comaniciu

    IPC分类号： G06K9/00 ,  G06T7/00

    CPC分类号： G06T7/0012 ,  G06T2207/10076 ,  G06T2207/10096 ,  G06T2207/30104

    摘要： A method and system for non-invasive hemodynamic assessment of aortic coarctation from medical image data, such as magnetic resonance imaging (MRI) data is disclosed. Patient-specific lumen anatomy of the aorta and supra-aortic arteries is estimated from medical image data of a patient, such as contrast enhanced MRI. Patient-specific aortic blood flow rates are estimated from the medical image data of the patient, such as velocity encoded phase-contrasted MRI cine images. Patient-specific inlet and outlet boundary conditions for a computational model of aortic blood flow are calculated based on the patient-specific lumen anatomy, the patient-specific aortic blood flow rates, and non-invasive clinical measurements of the patient. Aortic blood flow and pressure are computed over the patient-specific lumen anatomy using the computational model of aortic blood flow and the patient-specific inlet and outlet boundary conditions.

    摘要翻译： 公开了一种用于从医学图像数据（如磁共振成像（MRI））数据进行主动脉缩窄的非侵入性血流动力学评估的方法和系统。 从患者的医学图像数据估计主动脉和超主动脉血管的患者特异性内腔解剖结构，例如对比度增强的MRI。 根据患者的医学图像数据估计患者特异性主动脉血流速率，例如速度编码的相位对比MRI电影图像。 基于患者特异性内腔解剖，患者特异性主动脉血流速率和患者的非侵入性临床测量，计算主动脉血流计算模型的患者特异性入口和出口边界条件。 使用主动脉血流计算模型和患者特定的入口和出口边界条件，计算患者特异性内腔解剖结构的主动脉血流和压力。

    Method and system for advanced measurements computation and therapy planning from medical data and images using a multi-physics fluid-solid heart model
    92.
    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 automatic native and bypass coronary ostia detection in cardiac computed tomography volumes
    93.
    发明授权
    Method and system for automatic native and bypass coronary ostia detection in cardiac computed tomography volumes 有权
    心脏计算机断层扫描体积中自动原位和旁路冠状动脉口腔检测的方法和系统

    公开(公告)号：US09042619B2

    公开(公告)日：2015-05-26

    申请号：US13233220

    申请日：2011-09-15

    申请人： Yefeng Zheng ,  Fernando Vega-Higuera ,  Shaohua Kevin Zhou ,  Dorin Comaniciu

    发明人： Yefeng Zheng ,  Fernando Vega-Higuera ,  Shaohua Kevin Zhou ,  Dorin Comaniciu

    IPC分类号： G06K9/00 ,  G06K9/62 ,  G06K9/34 ,  G06T7/00

    CPC分类号： G06T7/0081 ,  G06T7/11 ,  G06T7/12 ,  G06T2207/10072 ,  G06T2207/30048 ,  G06T2207/30101 ,  G06T2207/30172

    摘要： A method and system for detection of native and bypass coronary ostia in a 3D volume, such as a CT volume, is disclosed. Native coronary ostia are detected by detecting a bounding box defining locations of a left native coronary ostium and a right native coronary ostium in the 3D volume using marginal space learning (MSL), and locally refining the locations of the left native coronary ostium and the right native coronary ostium using a trained native coronary ostium detector. Bypass coronary ostia are detected by segmenting an ascending aorta surface mesh in the 3D volume, generating a search region of a plurality of mesh points on the ascending aorta surface mesh based on a distribution of annotated bypass coronary ostia in a plurality of training volumes, and detecting the bypass coronary ostia by searching the plurality of mesh points in the search region.

    摘要翻译： 公开了用于检测3D体积中的天然和旁路冠状动脉口腔的方法和系统，例如CT体积。 通过使用边缘空间学习（MSL）检测在3D体积中定义左天然冠状动脉口和右天然冠状动脉口的位置的边界框来检测本地冠状动脉，并且局部改善左天然冠状动脉口和右侧的位置 使用训练有素的本地冠状动脉口腔检测器进行本地冠状动脉口。 通过分割3D体积中的上升主动脉表面网格来检测旁路冠状动脉口腔，基于多个训练体积中注释旁路冠状动脉口腔的分布，生成升主动脉表面网格上的多个网格点的搜索区域，以及 通过搜索搜索区域中的多个网格点来检测旁路冠状动脉口。

    Data transmission in remote computer assisted detection
    96.
    发明授权
    Data transmission in remote computer assisted detection 有权
    远程计算机辅助检测中的数据传输

    公开(公告)号：US08811697B2

    公开(公告)日：2014-08-19

    申请号：US13080891

    申请日：2011-04-06

    申请人： Michal Sofka ,  Kristof Ralovich ,  Jingdan Zhang ,  Shaohua Kevin Zhou ,  Gianluca Paladini ,  Dorin Comaniciu

    发明人： Michal Sofka ,  Kristof Ralovich ,  Jingdan Zhang ,  Shaohua Kevin Zhou ,  Gianluca Paladini ,  Dorin Comaniciu

    IPC分类号： G06K9/00 ,  G06K9/62 ,  G06T7/00

    CPC分类号： G06K9/6256 ,  G06F19/00 ,  G06F19/321 ,  G06T7/0012 ,  G06T2200/16 ,  G06T2207/20016

    摘要： For cloud-based computer assisted detection, hierarchal detection is used, allowing detection on data at progressively greater resolutions. Detected locations at coarser resolutions are used to limit the data transmitted at greater resolutions. Data is only transmitted for neighborhoods around the previously detected locations. Subsequent detection using higher resolution data refines the locations, but only for regions associated with previous detection. By limiting the number and/or size of regions provided at greater resolutions based on the previous detection, the progressive transmission avoids transmission of some data. Additionally, or alternatively, lossy compression may be used without or with minimal reduction in detection sensitivity.

    摘要翻译： 对于基于云的计算机辅助检测，使用层次检测，允许以逐渐更大的分辨率检测数据。 较粗分辨率下的检测位置用于限制以更高分辨率传输的数据。 仅针对先前检测到的位置周围的邻域发送数据。 使用较高分辨率数据的后续检测会优化位置，但仅适用于与先前检测相关的区域。 通过基于先前的检测限制以更大分辨率提供的区域的数量和/或尺寸，逐行传输避免了一些数据的传输。 另外或者可选地，可以使用有损压缩，而不用或以最小的检测灵敏度降低。

    Method and system for heart isolation in cardiac computed tomography volumes for patients with coronary artery bypasses
    99.
    发明授权
    Method and system for heart isolation in cardiac computed tomography volumes for patients with coronary artery bypasses 有权
    冠状动脉旁路患者心脏计算机断层摄影术中心脏隔离的方法和系统

    公开(公告)号：US08675943B2

    公开(公告)日：2014-03-18

    申请号：US13295217

    申请日：2011-11-14

    申请人： Yefeng Zheng ,  Fernando Vega-Higuera ,  Dorin Comaniciu

    发明人： Yefeng Zheng ,  Fernando Vega-Higuera ,  Dorin Comaniciu

    IPC分类号： G06K9/00

    CPC分类号： G06T7/149 ,  G06T7/11 ,  G06T2207/10081 ,  G06T2207/20124 ,  G06T2207/30048

    摘要： A method and system for isolating the heart in a 3D volume, such as a cardiac CT volume, for patients with coronary artery bypasses is disclosed. An initial heart isolation mask is extracted from a 3D volume, such as a cardiac CT volume. The aortic root and ascending aorta are segmented in the 3D volume, resulting in an aorta mesh. The aorta mesh is expanded to include bypass coronary arteries. An expanded heart isolation mask is generated by combining the initial heart isolation mask with an expanded aorta mask defined by the expanded aorta mesh.

    摘要翻译： 公开了一种用于分离冠状动脉旁路患者的3D体积（例如心脏CT体积）中的心脏的方法和系统。 从3D体积（例如心脏CT体积）提取初始心脏隔离掩模。 主动脉根部和升主动脉在3D体积中分段，导致主动脉网。 主动脉网扩张包括旁路冠状动脉。 通过将初始心脏隔离掩模与由扩张的主动脉网所定义的扩张主动脉掩膜组合来产生扩张的心脏隔离掩模。