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141.发明授权System and method for fetal biometric measurements from ultrasound data and fusion of same for estimation of fetal gestational age 有权用于胎儿生物测量的系统和方法，用于从胎儿胎龄估计胎儿生物测定的超声数据和融合公开(公告)号：US07783095B2
公开(公告)日：2010-08-24
申请号：US11463341
申请日：2006-08-09
申请人： Gustavo Carneiro , Sara Good , Bogdan Georgescu , Paolo Favaro , Dorin Comaniciu
发明人： Gustavo Carneiro , Sara Good , Bogdan Georgescu , Paolo Favaro , Dorin Comaniciu
IPC分类号： G06K9/00
CPC分类号： G06K9/6226 , A61B8/0866 , A61B8/483 , A61B8/523 , G06K9/6289 , G06K9/6292 , G06T7/62 , G06T2207/30004
摘要： A method for segmenting and measuring anatomical structures in fetal ultrasound images includes the steps of providing a digitized ultrasound image of a fetus comprising a plurality of intensities corresponding to a domain of points on a 3-dimensional grid, providing a plurality of classifiers trained to detect anatomical structures in said image of said fetus, and segmenting and measuring an anatomical structure using said image classifiers by applying said elliptical contour classifiers to said fetal ultrasound image, wherein a plurality of 2-dimensional contours characterizing said anatomical structure are detected. The anatomical structure measurement can be combined with measurement of another anatomical structure to estimate gestational age of the fetus.
摘要翻译： 一种用于分割和测量胎儿超声图像中的解剖结构的方法包括以下步骤：提供胎儿的数字化超声图像，其包括对应于三维网格上的点的区域的多个强度，提供经过训练以检测的多个分类器 所述胎儿的所述图像中的解剖结构，以及使用所述图像分类器通过将所述椭圆轮廓分类器应用于所述胎儿超声图像来分割和测量解剖结构，其中检测表征所述解剖结构的多个二维轮廓。 解剖结构测量可以与另一种解剖结构的测量相结合，以估计胎儿的胎龄。
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142.发明授权Method for database guided simultaneous multi slice object detection in three dimensional volumetric data 有权三维体积数据中数据库引导同时多切片物体检测方法公开(公告)号：US07764817B2
公开(公告)日：2010-07-27
申请号：US11502709
申请日：2006-08-10
申请人： Bogdan Georgescu , Xiang Zhou , Wei Hong , Dorin Comaniciu , Sriram Krishnan
发明人： Bogdan Georgescu , Xiang Zhou , Wei Hong , Dorin Comaniciu , Sriram Krishnan
CPC分类号： G06T7/149 , G06T7/12 , G06T2207/10136 , G06T2207/20081 , G06T2207/30048
摘要： The present invention is directed to a method for automatic detection and segmentation of a target anatomical structure in received three dimensional (3D) volumetric medical images using a database of a set of volumetric images with expertly delineated anatomical structures. A 3D anatomical structure detection and segmentation module is trained offline by learning anatomical structure appearance using the set of expertly delineated anatomical structures. A received volumetric image for the anatomical structure of interest is searched online using the offline learned 3D anatomical structure detection and segmentation module.
摘要翻译： 本发明涉及一种使用具有专门描绘的解剖结构的一组体积图像的数据库来自动检测和分割接收的三维（3D）体积医学图像中的目标解剖结构的方法。 3D解剖结构检测和分割模块通过使用专门描绘的解剖结构集合学习解剖结构外观来进行离线训练。 使用离线学习的3D解剖结构检测和分割模块在线搜索用于感兴趣解剖结构的接收体积图像。
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公开(公告)号：US20100067768A1
公开(公告)日：2010-03-18
申请号：US12562483
申请日：2009-09-18
IPC分类号： G06K9/00
CPC分类号： G06T7/35 , G06K9/621 , G06K2209/05 , G06T7/344
摘要： A method and system for physiological image registration and fusion is disclosed. A physiological model of a target anatomical structure in estimated each of a first image and a second image. The physiological model is estimated using database-guided discriminative machine learning-based estimation. A fused image is then generated by registering the first and second images based on correspondences between the physiological model estimated in each of the first and second images.
摘要翻译： 公开了一种用于生理图像配准和融合的方法和系统。 估计每个第一图像和第二图像中的目标解剖结构的生理模型。 使用数据库引导的基于判别机器学习的估计来估计生理模型。 然后通过基于在第一和第二图像中的每一个中估计出的生理模型之间的对应来登记第一和第二图像来生成融合图像。
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公开(公告)号：US20100067760A1
公开(公告)日：2010-03-18
申请号：US12487121
申请日：2009-06-18
IPC分类号： G06K9/00
CPC分类号： G06K9/00 , G06K2209/05 , G06T7/11 , G06T7/143 , G06T2207/10081 , G06T2207/20076 , G06T2207/30101
摘要： A method and system for coronary artery detection in 3D cardiac volumes is disclosed. The heart chambers are segmented in the cardiac volume, and an initial estimation of a coronary artery is generated based on the segmented heart chambers. The initial estimation of the coronary artery is then refined based on local information in the cardiac volume in order to detect the coronary artery in the cardiac volume. The detected coronary artery can be extended using 3D dynamic programming.
摘要翻译： 公开了用于3D心脏体积中冠状动脉检测的方法和系统。 心室在心脏体积中分段，并且基于分段心室产生冠状动脉的初始估计。 然后基于心脏体积中的局部信息来改进冠状动脉的初始估计，以便检测心脏体积中的冠状动脉。 检测到的冠状动脉可以使用3D动态规划进行扩展。
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145.发明申请公开(公告)号：US20100040272A1
公开(公告)日：2010-02-18
申请号：US12504047
申请日：2009-07-16
申请人： Yefeng Zheng , Xiaoguang Lu , Bogdan Georgescu , Edgar Müller , Dorin Comaniciu , Arne Littmann
发明人： Yefeng Zheng , Xiaoguang Lu , Bogdan Georgescu , Edgar Müller , Dorin Comaniciu , Arne Littmann
CPC分类号： G06K9/6202 , G06K2209/051
摘要： A method and system for left ventricle (LV) detection in 2D magnetic resonance imaging (MRI) images is disclosed. In order to detect the LV in a 2D MRI image, a plurality of LV candidates are detected, for example using marginal space learning (MSL) based detection. Candidates for distinctive anatomic landmarks associated with the LV are then detected in the 2D MRI image. In particular, apex candidates and base candidates are detected in the 2D MRI image. One of the LV candidates is selected as a final LV detection result using component-based voting based on the detected LV candidates, apex candidates, and base candidates.
摘要翻译： 公开了一种用于2D磁共振成像（MRI）图像中左心室（LV）检测的方法和系统。 为了检测2D MRI图像中的LV，例如使用基于边缘空间学习（MSL）的检测来检测多个LV候选。 然后在2D MRI图像中检测与LV相关的特征性解剖学标记的候选者。 特别地，在2D MRI图像中检测到顶点候选和基础候选。 使用基于检测到的LV候选，顶点候选和基础候选的基于组件的投票，将LV候选中的一个选择为最终的LV检测结果。
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146.发明申请Method and system for left ventricle endocardium surface segmentation using constrained optimal mesh smoothing 失效使用约束最优网格平滑的左心室心内膜表面分割的方法和系统公开(公告)号：US20090190811A1
公开(公告)日：2009-07-30
申请号：US12319686
申请日：2009-01-09
CPC分类号： G06K9/34 , G06K2209/051 , G06T7/12 , G06T7/149 , G06T2207/10081 , G06T2207/20124 , G06T2207/30048
摘要： A method and system for left ventricle (LV) endocardium surface segmentation using constrained optimal mesh smoothing is disclosed. The LV endocardium surface in the 3D cardiac volume is initially segmented in a 3D cardiac volume, such as a CT volume, resulting in an LV endocardium surface mesh. A smoothed LV endocardium surface mesh is generated by smoothing the LV endocardium surface mesh using constrained optimal mesh smoothing. The constrained optimal mesh smoothing determines an optimal adjustment for each point on the LV endocardium surface mesh by minimizing an objective function based at least on a smoothness measure, subject to a constraint bounding the adjustment for each point. The adjustment for each point can be constrained to prevent adjustments inward toward the blood pool in order to ensure that the smoothed LV endocardium surface mesh encloses the entire blood pool.
摘要翻译： 公开了使用约束最优网格平滑的左心室（LV）心内膜表面分割的方法和系统。 3D心脏体积中的LV心内膜表面最初在3D心脏体积（例如CT体积）中分段，导致LV心内膜表面网。 通过使用约束最优网格平滑平滑LV心内膜表面网格来生成平滑的LV心内膜表面网格。 受约束的最优网格平滑通过使至少基于平滑度量度的目标函数最小化来限制LV心内膜表面网格上的每个点的最佳调整，受限于对每个点的调整。 可以限制每个点的调整以防止向血液向内的调节，以确保平滑的LV心内膜表面网格包围整个血液池。
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147.发明授权公开(公告)号：US07460733B2
公开(公告)日：2008-12-02
申请号：US11215419
申请日：2005-08-30
申请人： Jing Xiao , Bogdan Georgescu , Xiang Zhou , Dorin Comaniciu
发明人： Jing Xiao , Bogdan Georgescu , Xiang Zhou , Dorin Comaniciu
IPC分类号： G06K9/32
CPC分类号： G06K9/00127 , G06K9/00221 , G06K9/00973 , G06T7/149
摘要： A method of registering and modeling a deformable shape in a digitized image is provided, comprising the steps of providing a measurement matrix W of N measurements of P points of a D-dimensional deformable shape, determining a basis number K for the N measurements, wherein K
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148.发明申请公开(公告)号：US20080240532A1
公开(公告)日：2008-10-02
申请号：US12056107
申请日：2008-03-26
IPC分类号： G06K9/00
CPC分类号： G06K9/46 , A61B8/0866 , G06K9/3233 , G06K9/38 , G06K9/4614 , G06K9/6282 , G06K2009/366 , G06K2209/051
摘要： A method for detecting fetal anatomic features in ultrasound images includes providing an ultrasound image of a fetus, specifying an anatomic feature to be detected in a region S determined by parameter vector θ, providing a sequence of probabilistic boosting tree classifiers, each with a pre-specified height and number of nodes. Each classifier computes a posterior probability P(y|S) where yε{−1,+1}, with P(y=+1|S) representing a probability that region S contains the feature, and P(y=−1|S) representing a probability that region S contains background information. The feature is detected by uniformly sampling a parameter space of parameter vector θ using a first classifier with a sampling interval vector used for training said first classifier, and having each subsequent classifier classify positive samples identified by a preceding classifier using a smaller sampling interval vector used for training said preceding classifier. Each classifier forms a union of its positive samples with those of the preceding classifier.
摘要翻译： 一种用于检测超声图像中的胎儿解剖特征的方法包括提供胎儿的超声图像，指定在由参数矢量θ确定的区域S中要检测的解剖特征，提供一系列概率增强树分类器， 指定的高度和节点数。 每个分类器计算出一个后验概率P（y | S），其中，y（1 + 1），其中P（y = + 1 | S）表示区域S包含特征的概率，P（y = -1 | S）表示区域S包含背景信息的概率。 通过使用具有用于训练所述第一分类器的采样间隔向量的第一分类器对参数向量θ的参数空间进行均匀采样来检测该特征，并且每个后续分类器使用使用较小的采样间隔向量来分类由先前分类器标识的正样本 训练前面的分类器。 每个分类器形成其正样本与上一分类器的并集。
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公开(公告)号：US07421101B2
公开(公告)日：2008-09-02
申请号：US10957380
申请日：2004-10-01
IPC分类号： G06K9/00
CPC分类号： G06T7/20 , G06T7/0016 , G06T7/251 , G06T2207/10132 , G06T2207/30048
摘要： A system and method for local deformable motion analysis accurately tracks the motion of an object such that local motion of an object is isolated from global motion of an object. The object is viewed in an image sequence and image regions are sampled to identify object image regions and background image regions. The motion of at least one of the identified background image regions is estimated to identify those background image regions affected by global motion. Motion from multiple background image regions are combined to measure the global motion in that image frame. The measured global motion in the object image regions are compensated to measure local motion of the object and the local motion of the object is tracked.
摘要翻译： 用于局部可变形运动分析的系统和方法准确地跟踪对象的运动，使得对象的局部运动与对象的全局运动隔离。 以图像序列查看对象，并对图像区域进行采样以识别对象图像区域和背景图像区域。 估计所识别的背景图像区域中的至少一个的运动以识别受全局运动影响的那些背景图像区域。 来自多个背景图像区域的运动被组合以测量该图像帧中的全局运动。 在对象图像区域中测量的全局运动被补偿以测量对象的局部运动，并跟踪对象的局部运动。
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150.发明申请System and Method For Simultaneously Subsampling Fluoroscopic Images and Enhancing Guidewire Visibility 失效同时采样荧光图像和提高导丝可视性的系统和方法公开(公告)号：US20080107314A1
公开(公告)日：2008-05-08
申请号：US11860591
申请日：2007-09-25
CPC分类号： G06T5/003 , G06T5/20 , G06T7/74 , G06T2207/10121 , G06T2207/20016 , G06T2207/30021
摘要： A method for downsampling fluoroscopic images and enhancing guidewire visibility during coronary angioplasty includes providing a first digitized image, filtering the image with one or more steerable filters of different angular orientations, assigning a weight W and orientation O for each pixel based on the filter response for each pixel, wherein each pixel weight is assigned to a function of a maximum filter response magnitude and the pixel orientation is calculated from the angle producing the maximum filter response if the magnitude is greater than zero, wherein guidewire pixels have a higher weight than non-guidewire pixels, and downsampling the orientation and weights to calculate a second image of half the resolution of the first image, wherein the downsampling accounts for the orientation and higher weight assigned to the guidewire pixels.
摘要翻译： 用于在冠状动脉血管成形术期间对荧光透视图像进行下采样并增强导丝线可视性的方法包括提供第一数字化图像，用一个或多个不同角取向的可转向滤光片过滤图像，基于滤波器响应为每个像素分配权重W和取向O 每个像素，其中每个像素权重被分配给最大滤波器响应幅度的函数，并且如果幅度大于零，则从产生最大滤波器响应的角度计算像素取向，其中导丝像素具有比非最大滤波器响应幅度更大的权重， 引导线像素，以及对取向和权重进行下采样以计算第一图像的分辨率的一半的第二图像，其中下采样考虑分配给导丝像素的取向和较高权重。
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