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公开(公告)号：US07634123B2
公开(公告)日：2009-12-15
申请号：US11370302
申请日：2006-03-08
IPC分类号： G06K9/00
CPC分类号： G06K9/38 , G06T7/12 , G06T7/149 , G06T2207/10081 , G06T2207/10088 , G06T2207/30048
摘要： A method and related system for automatically and efficiently isolating the heart in Computer Tomography (CT) or Magnetic Resonance Imaging cardiac scans is disclosed. The method involves segmenting a heart within a set of volumetric data. In accordance with one aspect of the present invention, the set of volumetric data is processed to determine the minimum value of an energy function having a first term, a second term and a third term. The heart is segmented based on the processing of the set of volumetric data.
摘要翻译： 公开了一种用于在计算机断层扫描（CT）或磁共振成像心脏扫描中自动和有效隔离心脏的方法和相关系统。 该方法涉及在一组体积数据内分割心脏。 根据本发明的一个方面，处理一组体积数据以确定具有第一项，第二项和第三项的能量函数的最小值。 基于体积数据集合的处理来分割心脏。
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公开(公告)号：US20060239553A1
公开(公告)日：2006-10-26
申请号：US11370302
申请日：2006-03-08
IPC分类号： G06K9/34
CPC分类号： G06K9/38 , G06T7/12 , G06T7/149 , G06T2207/10081 , G06T2207/10088 , G06T2207/30048
摘要： A method and related system for automatically and efficiently isolating the heart in Computer Tomography (CT) or Magnetic Resonance Imaging cardiac scans is disclosed. The method involves segmenting a heart within a set of volumetric data. In accordance with one aspect of the present invention, the set of volumetric data is processed to determine the minimum value of an energy function having a first term, a second term and a third term. The heart is segmented based on the processing of the set of volumetric data.
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3.发明申请Semi-automatic Segmentation of Cardiac Ultrasound Images using a Dynamic Model of the Left Ventricle 审中-公开使用左心室动态模型对心脏超声图像进行半自动分割公开(公告)号：US20090161926A1
公开(公告)日：2009-06-25
申请号：US12028884
申请日：2008-02-11
CPC分类号： A61B8/00 , A61B8/0883 , G06T7/12 , G06T7/149 , G06T2207/10016 , G06T2207/10132 , G06T2207/20104 , G06T2207/30048
摘要： A method for segmenting a sequence of images includes developing an autoregressive model using training data including segmented images of a same type as the sequence of images. The sequence of images showing a progression of a subject through a cycle is acquired. At least two images from the sequence of images are identified. A region of interest is manually segmented from the identified images. The manually segmented images are parameterized. The autoregressive model is adapted to the parameterized segmented images. The autoregressive model is used to perform segmentation on the region of interest for a plurality of images of the sequence of images.
摘要翻译： 用于分割图像序列的方法包括使用包括与图像序列相同类型的分割图像的训练数据来开发自回归模型。 获取通过循环显示受检者进展的图像序列。 识别来自图像序列的至少两个图像。 感兴趣的区域是从识别的图像手动分割的。 手动分割的图像被参数化。 自回归模型适用于参数化分割图像。 自回归模型用于对图像序列的多个图像在感兴趣区域上进行分割。
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公开(公告)号：US08073252B2
公开(公告)日：2011-12-06
申请号：US11754476
申请日：2007-05-29
IPC分类号： G06K9/34
CPC分类号： G06T7/149 , G06T7/12 , G06T7/143 , G06T2207/10072 , G06T2207/20081 , G06T2207/30056
摘要： A computer readable medium is provided embodying instructions executable by a processor to perform a method for sparse volume segmentation for 3D scan of a target. The method including learning prior knowledge, providing volume data comprising the target, selecting a plurality of key contours of the image of the target, building a 3D spare model of the image of the target given the plurality of key contours, segmenting the image of the target given the 3D sparse model, and outputting a segmentation of the image of the target.
摘要翻译： 提供了一种计算机可读介质，其包含可由处理器执行的指令，以执行用于目标的3D扫描的稀疏卷分割的方法。 该方法包括学习预先知识，提供包括目标的体数据，选择目标图像的多个关键轮廓，构建给定多个关键轮廓的目标图像的3D备用模型，分割图像的图像 给定3D稀疏模型的目标，并输出目标图像的分割。
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公开(公告)号：US20110123095A1
公开(公告)日：2011-05-26
申请号：US11754476
申请日：2007-05-29
IPC分类号： G06K9/00
CPC分类号： G06T7/149 , G06T7/12 , G06T7/143 , G06T2207/10072 , G06T2207/20081 , G06T2207/30056
摘要： A computer readable medium is provided embodying instructions executable by a processor to perform a method for sparse volume segmentation for 3D scan of a target. The method including learning prior knowledge, providing volume data comprising the target, selecting a plurality of key contours of the image of the target, building a 3D spare model of the image of the target given the plurality of key contours, segmenting the image of the target given the 3D sparse model, and outputting a segmentation of the image of the target.
摘要翻译： 提供了一种计算机可读介质，其包含可由处理器执行的指令，以执行用于目标的3D扫描的稀疏卷分割的方法。 该方法包括学习预先知识，提供包括目标的体数据，选择目标图像的多个关键轮廓，构建给定多个关键轮廓的目标图像的3D备用模型，分割图像的图像 给定3D稀疏模型的目标，并输出目标图像的分割。
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公开(公告)号：US20130004052A1
公开(公告)日：2013-01-03
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
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。
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7.发明申请SYSTEM AND METHOD FOR DETECTION OF ACOUSTIC SHADOWS AND AUTOMATIC ASSESSMENT OF IMAGE USABILITY IN 3D ULTRASOUND IMAGES 有权用于检测声音阴影的系统和方法以及3D超声图像中图像可用性的自动评估公开(公告)号：US20120243757A1
公开(公告)日：2012-09-27
申请号：US13177050
申请日：2011-07-06
申请人： Gareth Funka-Lea , Jeffrey Stoll , Luca Valente
发明人： Gareth Funka-Lea , Jeffrey Stoll , Luca Valente
CPC分类号： G06T7/0002 , G06T2207/10132 , G06T2207/30004 , G06T2207/30168
摘要： A method for automatically assessing medical ultrasound (US) image usability, includes extracting one or more features from at least one part of a medical ultrasound image, calculating for each feature a feature score for each pixel of the at least one part of the ultrasound image, and classifying one or more image pixels of the at least one part as either usable or unusable, based on a combination of feature scores for each pixel, where usable pixels have intensity values substantially representative of one or more anatomical structures.
摘要翻译： 一种用于自动评估医学超声（US）图像可用性的方法包括从医用超声图像的至少一部分提取一个或多个特征，为每个特征计算超声图像的至少一部分的每个像素的特征得分 ，并且基于每个像素的特征得分的组合，将所述至少一个部分中的一个或多个图像像素分类为可用或不可用，其中可用像素具有基本上代表一个或多个解剖结构的强度值。
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8.发明申请Method and System for Multi-Part Left Atrium Segmentation in C-Arm Computed Tomography Volumes Using Shape Constraints 有权使用形状约束的C臂计算机断层扫描中多部分左心房分割的方法和系统公开(公告)号：US20120230570A1
公开(公告)日：2012-09-13
申请号：US13415890
申请日：2012-03-09
申请人： Yefeng Zheng , Tianzhou Wang , Matthias John , Gareth Funka-Lea , Jan Boese , Dorin Comaniciu
发明人： Yefeng Zheng , Tianzhou Wang , Matthias John , Gareth Funka-Lea , Jan Boese , Dorin Comaniciu
IPC分类号： G06K9/00
CPC分类号： G06T17/20 , G06T7/12 , G06T7/149 , G06T2200/08 , G06T2207/10081 , G06T2207/20081 , G06T2207/30048 , G06T2210/41
摘要： A method and system for multi-part left atrium (LA) segmentation in a C-arm CT volume is disclosed. Multiple LA part models, including an LA chamber body mesh, an appendage mesh, a left inferior pulmonary vein (PV) mesh, a left superior PV mesh, a right inferior PV mesh, and a right superior PV mesh, are segmented in a 3D volume. The LA chamber body mesh and the appendage mesh may be segmented as a combined object and the PV meshes may be segmented subject to a statistical shape constraint. A consolidated LA mesh is generated from the segmented LA part models.
摘要翻译： 公开了一种用于C臂CT体积中多部分左心房（LA）分割的方法和系统。 多个LA部分模型，包括LA室体网，附属网，左下肺静脉（PV）网，左上PV网，右下PV网和右上PV网被分割成3D 卷。 LA室体网格和附属网格可以被分割为组合对象，并且PV网格可以被划分为受统计形状约束。 从分段的LA零件模型生成合并的LA网格。
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9.发明申请公开(公告)号：US20120230558A1
公开(公告)日：2012-09-13
申请号：US13413043
申请日：2012-03-06
申请人： Terrence Chen , Gareth Funka-Lea , Dorin Comaniciu
发明人： Terrence Chen , Gareth Funka-Lea , Dorin Comaniciu
CPC分类号： G06T7/0016 , G06T2207/10121 , G06T2207/30101
摘要： A method and system for contrast inflow detection in a sequence of fluoroscopic images is disclosed. Vessel segments are detected in each frame of a fluoroscopic image sequence. A score vector is determined for the fluoroscopic image sequence based on the detected vessel segments in each frame of the fluoroscopic image sequence. It is determined whether a contrast agent injection is present in the fluoroscopic image sequence based on the score vector. If it is determined that a contrast agent injection is present in the fluoroscopic image sequence, a contrast inflow frame, at which contrast agent inflow begins, is detected in the fluoroscopic image sequence based on the score vector.
摘要翻译： 公开了一种荧光镜图像序列中对比度流入检测的方法和系统。 在透视图像序列的每个帧中检测血管段。 基于荧光镜图像序列的每个帧中的检测到的血管片段，确定荧光镜图像序列的得分矢量。 基于得分矢量确定荧光镜图像序列中是否存在造影剂注射。 如果确定在透视图像序列中存在造影剂注射，则基于得分矢量在荧光镜图像序列中检测出造影剂流入开始的对比度流入框。
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10.发明授权System and method for automatic registration of 4D (3D plus time) renal perfusion MRI data 有权自动注册4D（3D加时间）肾灌注MRI数据的系统和方法公开(公告)号：US08150133B2
公开(公告)日：2012-04-03
申请号：US12421862
申请日：2009-04-10
申请人： Ying Sun , Gareth Funka-Lea
发明人： Ying Sun , Gareth Funka-Lea
IPC分类号： G06K9/00
CPC分类号： G06T7/33 , G06T2207/10076 , G06T2207/10088 , G06T2207/30084
摘要： A method for registering digital renal perfusion images includes selecting a volume of interest (VOI) containing a kidney in a reference renal perfusion image, computing 3D intensity gradients for a plurality of points in the VOI of the reference renal perfusion image, computing 3D intensity gradients for a plurality of points in a search window of a current renal perfusion image, and maximizing a similarity measure between the reference image VOI and the current image search window, where the similarity measure is a function of the 3D intensity gradients computed for the reference image and the current image.
摘要翻译： 用于登记数字肾灌注图像的方法包括在参考肾灌注图像中选择包含肾脏的感兴趣体积（VOI），计算参考肾灌注图像的VOI中的多个点的3D强度梯度，计算3D强度梯度 对于当前肾灌注图像的搜索窗口中的多个点，并且使参考图像VOI和当前图像搜索窗口之间的相似性度量最大化，其中相似性度量是针对参考图像计算的3D强度梯度的函数 和当前图像。
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