公开(公告)号：US20110096964A1

公开(公告)日：2011-04-28

申请号：US12901600

申请日：2010-10-11

申请人： Yefeng Zheng ,  David Liu ,  Jan Boese ,  Dorin Comaniciu

发明人： Yefeng Zheng ,  David Liu ,  Jan Boese ,  Dorin Comaniciu

IPC分类号： G06K9/00

CPC分类号： G06T7/77 ,  G06T7/12 ,  G06T7/143 ,  G06T7/149 ,  G06T2207/10072 ,  G06T2207/20081 ,  G06T2207/20124 ,  G06T2207/30048

摘要： A method and system for automatic extraction of personalized left atrium models is disclosed. A left atrium chamber body is segmented from a 3D image volume. At least one pulmonary venous ostium is detected on the segmented left atrium chamber body. At least one pulmonary vein trunk connected to the left atrium chamber body is segmented based on the detected pulmonary venous ostia.

摘要翻译： 公开了一种用于自动提取个性化左心房模型的方法和系统。 左心房腔体从3D图像体积分割。 在分割的左心房腔体上检测到至少一个肺静脉口。 基于检测到的肺静脉口，将连接到左心房腔体的至少一个肺静脉干线分段。

公开(公告)号：US08422753B2

公开(公告)日：2013-04-16

申请号：US12901600

申请日：2010-10-11

申请人： Yefeng Zheng ,  David Liu ,  Jan Boese ,  Dorin Comaniciu

发明人： Yefeng Zheng ,  David Liu ,  Jan Boese ,  Dorin Comaniciu

IPC分类号： G06K9/00 ,  G06K9/34

CPC分类号： G06T7/77 ,  G06T7/12 ,  G06T7/143 ,  G06T7/149 ,  G06T2207/10072 ,  G06T2207/20081 ,  G06T2207/20124 ,  G06T2207/30048

摘要： A method and system for automatic extraction of personalized left atrium models is disclosed. A left atrium chamber body is segmented from a 3D image volume. At least one pulmonary venous ostium is detected on the segmented left atrium chamber body. At least one pulmonary vein trunk connected to the left atrium chamber body is segmented based on the detected pulmonary venous ostia.

摘要翻译： 公开了一种用于自动提取个性化左心房模型的方法和系统。 左心房腔体从3D图像体积分割。 在分割的左心房腔体上检测到至少一个肺静脉口。 基于检测到的肺静脉口，将连接到左心房腔体的至少一个肺静脉干线分段。

公开(公告)号：US10719986B2

公开(公告)日：2020-07-21

申请号：US12975714

申请日：2010-12-22

申请人： Dominik Zaeuner ,  Razvan Ioan Ionasec ,  Bogdan Georgescu ,  Yefeng Zheng ,  Dorin Comaniciu ,  Ingmar Voigt ,  Jan Boese

发明人： Dominik Zaeuner ,  Razvan Ioan Ionasec ,  Bogdan Georgescu ,  Yefeng Zheng ,  Dorin Comaniciu ,  Ingmar Voigt ,  Jan Boese

IPC分类号： G06T17/00 ,  G06T19/00 ,  G16H50/50 ,  G06F19/00

摘要： A method and system for virtual percutaneous valve implantation is disclosed. A patient-specific anatomical model of a heart valve is estimated based on 3D cardiac medical image data and an implant model representing a valve implant is virtually deployed into the patient-specific anatomical model of the heart valve. A library of implant models, each modeling geometrical properties of a corresponding valve implant, is maintained. The implant models maintained in the library are virtually deployed into the patient specific anatomical model of the heart valve to select an implant type and size and deployment location and orientation for percutaneous valve implantation.

公开(公告)号：US09014423B2

公开(公告)日：2015-04-21

申请号：US13412882

申请日：2012-03-06

申请人： Peng Wang ,  Yefeng Zheng ,  Matthias John ,  Jan Boese ,  Gareth Funka-Lea ,  Dorin Comaniciu

发明人： Peng Wang ,  Yefeng Zheng ,  Matthias John ,  Jan Boese ,  Gareth Funka-Lea ,  Dorin Comaniciu

IPC分类号： G06K9/00 ,  A61B6/00 ,  A61B6/12 ,  G06T7/20

CPC分类号： A61B6/487 ,  A61B6/12 ,  A61B6/503 ,  G06T7/246 ,  G06T2207/10016 ,  G06T2207/10064 ,  G06T2207/20076 ,  G06T2207/20081 ,  G06T2207/30021 ,  G06T2207/30048

摘要： A method and system for adaptive discriminant learning and measurement fusion for image based catheter tracking is disclosed. An adaptive discriminant model is trained online based on a tracked object, such as a pigtail catheter tip, in at least one previous frame of a fluoroscopic image sequence. The object is tracked in the current frame of the fluoroscopic image sequence based at least on the adaptive discriminant model trained online. The object may be tracked in the current frame based on a fusion of three types of measurement models including the adaptive discriminant model trained online, an object detection model trained offline, and an online appearance model.

摘要翻译： 公开了一种用于基于图像的导管跟踪的自适应判别学习和测量融合的方法和系统。 在荧光镜像图像序列的至少一个先前帧中，基于跟踪对象（例如尾纤导管尖端）在线训练自适应判别模型。 至少基于在线训练的自适应判别模型，在透视图像序列的当前帧中跟踪对象。 基于三种类型的测量模型的融合，可以在当前帧中跟踪对象，包括在线训练的自适应判别模型，离线训练的对象检测模型和在线外观模型。

公开(公告)号：US20120123250A1

公开(公告)日：2012-05-17

申请号：US13297373

申请日：2011-11-16

申请人： Yu Pang ,  Yefeng Zheng ,  Matthias John ,  Jan Boese ,  Dorin Comaniciu

发明人： Yu Pang ,  Yefeng Zheng ,  Matthias John ,  Jan Boese ,  Dorin Comaniciu

IPC分类号： A61B6/00

CPC分类号： A61B6/487 ,  A61B6/12 ,  A61B6/5264 ,  G06T7/246 ,  G06T7/277 ,  G06T2207/10121 ,  G06T2207/30021

摘要： A method and system for autoregressive model based pigtail catheter motion prediction in a fluoroscopic image sequence is disclosed. Parameters of an autoregressive model are estimated based on observed pigtail catheter tip positions in a plurality of previous frames of a fluoroscopic image sequence. A pigtail catheter tip position in a current frame of the fluoroscopic image sequence is predicted using the fitted autoregressive model. The predicted pigtail catheter tip position can be used to constrain pigtail catheter tip detection in the current frame. The predicted pigtail catheter tip position may also be used to predict abnormal motion in the fluoroscopic image sequence.

摘要翻译： 公开了一种在透视图像序列中基于自回归模型的尾纤导管运动预测的方法和系统。 基于在透视图像序列的多个先前帧中的观察到的尾纤导管尖端位置来估计自回归模型的参数。 使用拟合的自回归模型预测荧光镜图像序列的当前帧中的尾纤导管尖端位置。 预测的猪尾导管尖端位置可用于限制当前帧中的尾纤导管尖端检测。 预测的猪尾导管尖端位置也可以用于预测荧光镜像图像序列中的异常运动。

公开(公告)号：US09349197B2

公开(公告)日：2016-05-24

申请号：US13533234

申请日：2012-06-26

申请人： Mingqing Chen ,  Yefeng Zheng ,  Kerstin Mueller ,  Christopher Rohkohl ,  Günter Lauritsch ,  Jan Boese ,  Gareth Funka-Lea ,  Dorin Comaniciu

发明人： Mingqing Chen ,  Yefeng Zheng ,  Kerstin Mueller ,  Christopher Rohkohl ,  Günter Lauritsch ,  Jan Boese ,  Gareth Funka-Lea ,  Dorin Comaniciu

IPC分类号： G06K9/00 ,  G06T11/00 ,  G06T7/20

CPC分类号： G06T7/251 ,  G06T11/005 ,  G06T2207/10081 ,  G06T2207/30048 ,  G06T2211/412

摘要： The left ventricle epicardium is estimated in medical diagnostic imaging. C-arm x-ray data is used to detect an endocardium at different phases. The detected endocardium at the different phases is compared to sample endocardiums at different phases. The sample endocardiums have corresponding sample epicardiums. The transformation between the most similar sample endocardium or endocardiums over time and the detected endocardium over time is applied to the corresponding sample epicardium or epicardiums. The transformed sample epicardium over time is the estimated epicardium over time for the C-arm x-ray data.

摘要翻译： 估计左心室心外膜在医学诊断成像中。 C臂X射线数据用于检测不同阶段的心内膜。 将检测到的不同阶段的心内膜与不同阶段的样品心内膜进行比较。 样品心内膜具有相应的样品心外膜。 随着时间的推移，最相似的样品心内膜或心内膜与随时间的检测到的心内膜之间的转化被应用于相应的样品心外膜或心外膜。 随着时间的推移，转化的样品心外膜随着时间的推移，C-arm x射线数据的估计心外膜。

公开(公告)号：US09147268B2

公开(公告)日：2015-09-29

申请号：US13533314

申请日：2012-06-26

申请人： Mingqing Chen ,  Yefeng Zheng ,  Kerstin Mueller ,  Christopher Rohkohl ,  Günter Lauritsch ,  Jan Boese ,  Gareth Funka-Lea ,  Dorin Comaniciu

发明人： Mingqing Chen ,  Yefeng Zheng ,  Kerstin Mueller ,  Christopher Rohkohl ,  Günter Lauritsch ,  Jan Boese ,  Gareth Funka-Lea ,  Dorin Comaniciu

IPC分类号： G06K9/00 ,  G06T11/00 ,  G06T7/20

CPC分类号： G06T7/251 ,  G06T11/005 ,  G06T2207/10081 ,  G06T2207/30048 ,  G06T2211/412

摘要： Background information is subtracted from projection data in medical diagnostic imaging. The background is removed using data acquired in a single rotational sweep of a C-arm. The removal may be by masking out a target, leaving the background, in the data as constructed into a volume. For subtraction, the masked background information is projected to a plane and subtracted from the data representing the plane.

摘要翻译： 医疗诊断成像中的投影数据中减去背景信息。 使用在C臂的单次旋转扫描中获取的数据来去除背景。 删除可能是通过将构建成一个卷的数据中的一个目标掩盖掉，留下背景。 对于减法，将掩蔽的背景信息投影到平面，并从表示平面的数据中减去。

公开(公告)号：US20120230568A1

公开(公告)日：2012-09-13

申请号：US13412869

申请日：2012-03-06

申请人： Sasa Grbic ,  Razvan Ioan Ionasec ,  Yang Wang ,  Bogdan Georgescu ,  Tommaso Mansi ,  Dorin Comaniciu ,  Yefeng Zheng ,  Shaohua Kevin Zhou ,  Matthias John ,  Jan Boese

发明人： Sasa Grbic ,  Razvan Ioan Ionasec ,  Yang Wang ,  Bogdan Georgescu ,  Tommaso Mansi ,  Dorin Comaniciu ,  Yefeng Zheng ,  Shaohua Kevin Zhou ,  Matthias John ,  Jan Boese

IPC分类号： G06K9/36

CPC分类号： G06K9/6289 ,  G06K9/6211

摘要： A method and system for fusion of multi-modal volumetric images is disclosed. A first image acquired using a first imaging modality is received. A second image acquired using a second imaging modality is received. A model and of a target anatomical structure and a transformation are jointly estimated from the first and second images. The model represents a model of the target anatomical structure in the first image and the transformation projects a model of the target anatomical structure in the second image to the model in the first image. The first and second images can be fused based on estimated transformation.

摘要翻译： 公开了一种用于融合多模体积图像的方法和系统。 接收使用第一成像模式获取的第一图像。 接收使用第二成像模态获取的第二图像。 从第一和第二图像共同估计模型和目标解剖结构和变换。 该模型表示第一图像中目标解剖结构的模型，并且变换将第二图像中的目标解剖结构的模型投影到第一图像中的模型。 可以基于估计的变换来融合第一和第二图像。

公开(公告)号：US20120189185A1

公开(公告)日：2012-07-26

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： G06T5/00

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：US09999399B2

公开(公告)日：2018-06-19

申请号：US13297373

申请日：2011-11-16

申请人： Yu Pang ,  Yefeng Zheng ,  Matthias John ,  Jan Boese ,  Dorin Comaniciu

发明人： Yu Pang ,  Yefeng Zheng ,  Matthias John ,  Jan Boese ,  Dorin Comaniciu

IPC分类号： A61B6/00 ,  A61B6/12 ,  G06T7/246 ,  G06T7/277

CPC分类号： A61B6/487 ,  A61B6/12 ,  A61B6/5264 ,  G06T7/246 ,  G06T7/277 ,  G06T2207/10121 ,  G06T2207/30021

摘要： A method and system for autoregressive model based pigtail catheter motion prediction in a fluoroscopic image sequence is disclosed. Parameters of an autoregressive model are estimated based on observed pigtail catheter tip positions in a plurality of previous frames of a fluoroscopic image sequence. A pigtail catheter tip position in a current frame of the fluoroscopic image sequence is predicted using the fitted autoregressive model. The predicted pigtail catheter tip position can be used to constrain pigtail catheter tip detection in the current frame. The predicted pigtail catheter tip position may also be used to predict abnormal motion in the fluoroscopic image sequence.