公开(公告)号：US09730609B2

公开(公告)日：2017-08-15

申请号：US13713603

申请日：2012-12-13

申请人： Sasa Grbic ,  Razvan Ioan Ionasec ,  Fernando Vega-Higuera ,  Dominik Bernhardt ,  Dorin Comaniciu

发明人： Sasa Grbic ,  Razvan Ioan Ionasec ,  Fernando Vega-Higuera ,  Dominik Bernhardt ,  Dorin Comaniciu

IPC分类号： A61B5/055 ,  G06T17/00 ,  G06T7/11 ,  G06T7/149 ,  G06T7/162

CPC分类号： A61B5/055 ,  G06T7/11 ,  G06T7/149 ,  G06T7/162 ,  G06T17/00 ,  G06T2207/20081 ,  G06T2207/20156 ,  G06T2207/30048 ,  G06T2207/30101

摘要： A method and system for automatic aortic valve calcification evaluation is disclosed. A patient-specific aortic valve model in a 3D medical image volume, such as a 3D computed tomography (CT) volume. Calcifications in a region of the 3D medical image volume defined based on the aortic valve model. A 2D calcification plot is generated that shows locations of the segmented calcifications relative to aortic valve leaflets of the patient-specific aortic valve model. The 2D calcification plot can be used for assessing the suitability of a patient for a Transcatheter Aortic Valve Replacement (TAVI) procedure, as well as risk assessment, positioning of an aortic valve implant, and selection of a type of aortic valve implant.

公开(公告)号：US09196049B2

公开(公告)日：2015-11-24

申请号：US13416168

申请日：2012-03-09

申请人： Razvan Ioan Ionasec ,  Dime Vitanovski ,  Alexey Tsymbal ,  Gareth Funka-Lea ,  Dorin Comaniciu ,  Andreas Greiser ,  Edgar Mueller

发明人： Razvan Ioan Ionasec ,  Dime Vitanovski ,  Alexey Tsymbal ,  Gareth Funka-Lea ,  Dorin Comaniciu ,  Andreas Greiser ,  Edgar Mueller

IPC分类号： A61B5/055 ,  G06T7/00

CPC分类号： G06T7/0083 ,  G06T7/12 ,  G06T2207/10088 ,  G06T2207/20076 ,  G06T2207/20081 ,  G06T2207/30048

摘要： A system and method for regression-based segmentation of the mitral valve in 2D+t cardiac magnetic resonance (CMR) slices is disclosed. The 2D+t CMR slices are acquired according to a mitral valve-specific acquisition protocol introduced herein. A set of mitral valve landmarks is detected in each 2D CMR slice and mitral valve contours are estimated in each 2D CMR slice based on the detected landmarks. A full mitral valve model is reconstructed from the mitral valve contours estimated in the 2D CMR slices using a trained regression model. Each 2D CMR slice may be a cine image acquired over a full cardiac cycle. In this case, the segmentation method reconstructs a patient-specific 4D dynamic mitral valve model from the 2D+t CMR image data.

摘要翻译： 公开了一种用于2D + t心脏磁共振（CMR）切片二尖瓣回归分割的系统和方法。 根据本文引入的二尖瓣特异性获取方案获取2D + t CMR切片。 在每个2D CMR切片中检测到一组二尖瓣地标，并且基于检测到的界标在每个2D CMR切片中估计二尖瓣轮廓。 使用训练有素的回归模型，从2D CMR切片中估算的二尖瓣轮廓重建完整的二尖瓣模型。 每个2D CMR切片可以是在整个心动周期上获取的电影图像。 在这种情况下，分割方法从2D + t CMR图像数据重建患者特有的4D动态二尖瓣模型。

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。

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。

公开(公告)号：US08948484B2

公开(公告)日：2015-02-03

申请号：US13293239

申请日：2011-11-10

申请人： Xiaoguang Lu ,  Jens Guehring ,  Marie-Pierre Jolly ,  Bogdan Georgescu ,  Carmel Hayes ,  Peter Speier ,  Michaela Schmidt ,  Xiaoming Bi ,  Randall Kroeker ,  Dorin Comaniciu ,  Edgar Mueller

发明人： Xiaoguang Lu ,  Jens Guehring ,  Marie-Pierre Jolly ,  Bogdan Georgescu ,  Carmel Hayes ,  Peter Speier ,  Michaela Schmidt ,  Xiaoming Bi ,  Randall Kroeker ,  Dorin Comaniciu ,  Edgar Mueller

IPC分类号： G06K9/00 ,  G06K9/68 ,  G06K9/62

CPC分类号： G06K9/6857 ,  G06K9/6282

摘要： A method and system for automated view planning for cardiac magnetic resonance imaging (MRI) acquisition is disclosed. The method and system automatically generate a full scan prescription using a single 3D MRI volume. The left ventricle (LV) is segmented in the 3D MRI volume. Cardiac landmarks are detected in the automatically prescribed slices. A full scan prescription, including a short axis stack and 2-chamber, 3-chamber, and 4-chamber views, is automatically generated based on cardiac anchors provided by the segmented left ventricle and the detected cardiac landmarks in the 3D MRI volume.

摘要翻译： 公开了用于心脏磁共振成像（MRI）采集的自动视图规划的方法和系统。 该方法和系统使用单个3D MRI体积自动生成全扫描处方。 左心室（LV）在3D MRI体积中分段。 在自动规定的切片中检测到心脏地标。 基于由分割的左心室提供的心脏锚定点和3D MRI体积中检测到的心脏地标，自动生成全扫描处方，包括短轴堆叠和2室，3室和4室视图。

公开(公告)号：US08923590B2

公开(公告)日：2014-12-30

申请号：US13346818

申请日：2012-01-10

申请人： Mingqing Chen ,  Yefeng Zheng ,  Gareth Funka-Lea ,  Guenter Lauritsch ,  Jan Boese ,  Dorin Comaniciu

发明人： Mingqing Chen ,  Yefeng Zheng ,  Gareth Funka-Lea ,  Guenter Lauritsch ,  Jan Boese ,  Dorin Comaniciu

IPC分类号： G06K9/00 ,  G06T7/00

CPC分类号： G06T7/0083 ,  G06T7/12 ,  G06T7/149 ,  G06T2207/10081 ,  G06T2207/30048

摘要： A method and system for estimating 3D cardiac motion from a single C-arm angiography scan is disclosed. An initial 3D volume is reconstructed from a plurality of 2D projection images acquired in a single C-arm scan. A static mesh is extracted by segmenting an object in the initial 3D volume. The static mesh is projected to each of the 2D projection images. A cardiac phase is determined for each of the 2D projection images. A deformed mesh is generated for each of a plurality of cardiac phases based on a 2D contour of the object and the projected mesh in each of the 2D projection images of that cardiac phase.

摘要翻译： 公开了一种用于从单个C臂血管造影扫描估计3D心脏运动的方法和系统。 从在单个C臂扫描中获取的多个2D投影图像重建初始3D体积。 通过在初始3D体积中分割对象来提取静态网格。 将静态网格投影到每个2D投影图像。 为每个2D投影图像确定心脏相位。 基于对象的2D轮廓和该心脏相的每个2D投影图像中的投影网格，为多个心脏相位中的每一个产生变形的网格。

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。

公开(公告)号：US08805625B2

公开(公告)日：2014-08-12

申请号：US12903501

申请日：2010-10-13

申请人： Jingdan Zhang ,  Shaohua Kevin Zhou ,  Waheed A. Abbasi ,  Chris Vierck ,  Peter Faltin ,  Daniel S. Morgan ,  Larry C. Himes ,  Dorin Comaniciu ,  Michael J. Metala

发明人： Jingdan Zhang ,  Shaohua Kevin Zhou ,  Waheed A. Abbasi ,  Chris Vierck ,  Peter Faltin ,  Daniel S. Morgan ,  Larry C. Himes ,  Dorin Comaniciu ,  Michael J. Metala

IPC分类号： G01B5/28 ,  G01N21/88 ,  G01N21/954 ,  G06T17/00 ,  G09G5/28 ,  G01N29/44 ,  G01N29/06

CPC分类号： G01N29/4463 ,  G01N29/0654 ,  G01N2291/044 ,  G01N2291/101 ,  G01N2291/2693

摘要： A method and apparatus for three-dimensional (3D) visualization and analysis for automatic non-destructive examination of a rotor bore using ultrasound. Data is acquired by scanning the rotor bore with an ultrasound pulser/transducer producing a plurality of one-dimensional ultrasound scans, each scan having a plurality of sample points. Each sample point is associated with a voxel of a regular 3D grid having a plurality of voxels. A Gaussian kernel is associated with each sample point and a value for a particular voxel is determined based on a weighted sum of sample points whose kernels cover the particular voxel. The values for the other voxels of the regular 3D grid are determined similarly. A 3D visualization of the rotor bore can be displayed to a user.

摘要翻译： 一种用于使用超声波对转子孔进行自动无损检测的三维（3D）可视化和分析的方法和装置。 通过用产生多个一维超声扫描的超声波脉冲发生器/换能器扫描转子孔获得数据，每个扫描具有多个采样点。 每个采样点与具有多个体素的规则3D网格的体素相关联。 高斯核与每个采样点相关联，并且基于其内核覆盖特定体元的采样点的加权和来确定特定体素的值。 类似地确定常规3D网格的其他体素的值。 可以向用户显示转子孔的3D可视化。

公开(公告)号：US08761480B2

公开(公告)日：2014-06-24

申请号：US13229953

申请日：2011-09-12

申请人： David Liu ,  Shaohua Kevin Zhou ,  Dominik Bernhardt ,  Dorin Comaniciu

发明人： David Liu ,  Shaohua Kevin Zhou ,  Dominik Bernhardt ,  Dorin Comaniciu

IPC分类号： G06K9/00 ,  G06T7/00

CPC分类号： G06K9/00 ,  G06K2209/05 ,  G06T7/0012 ,  G06T7/73 ,  G06T2207/10028 ,  G06T2207/10081 ,  G06T2207/20044 ,  G06T2207/20081 ,  G06T2207/30101 ,  G06T2207/30172 ,  G06T2207/30204

摘要： The present invention provides a method and system for vascular landmark detection in CT volumes. A CT volume is received and an initial position of a plurality of vascular landmarks is detected. The initial position of each of the plurality of vascular landmarks is then adjusted in order to position each vascular landmark inside a vessel lumen. A new position of each of the plurality of vascular landmarks representing the adjusted initial positions is output.

摘要翻译： 本发明提供了CT体积中血管标志物检测的方法和系统。 接收CT体积并检测多个血管界标的初始位置。 然后调整多个血管标志中的每一个的初始位置，以便将血管标记位于血管内腔内。 输出表示调整后的初始位置的多个血管界标中的每一个的新位置。

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。