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    System and Method for Detection of Fetal Anatomies From Ultrasound Images Using a Constrained Probabilistic Boosting Tree
    1.
    发明申请
    System and Method for Detection of Fetal Anatomies From Ultrasound Images Using a Constrained Probabilistic Boosting Tree 有权
    使用约束概率增强树从超声图像检测胎儿解剖的系统和方法

    公开(公告)号：US20080240532A1

    公开(公告)日：2008-10-02

    申请号：US12056107

    申请日：2008-03-26

    申请人： Gustavo Henrique de Barros Carneiro ,  Bogdan Georgescu ,  Sara Good ,  Dorin Comaniciu

    发明人： Gustavo Henrique de Barros Carneiro ,  Bogdan Georgescu ,  Sara Good ,  Dorin Comaniciu

    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。

    System and method for detection of fetal anatomies from ultrasound images using a constrained probabilistic boosting tree
    2.
    发明授权
    System and method for detection of fetal anatomies from ultrasound images using a constrained probabilistic boosting tree 有权
    使用约束概率增强树从超声图像中检测胎儿解剖结构的系统和方法

    公开(公告)号：US07995820B2

    公开(公告)日：2011-08-09

    申请号：US12056107

    申请日：2008-03-26

    申请人： Gustavo Henrique Monteiro de Barros Carneiro ,  Bogdan Georgescu ,  Sara Good ,  Dorin Comaniciu

    发明人： Gustavo Henrique Monteiro de Barros Carneiro ,  Bogdan Georgescu ,  Sara Good ,  Dorin Comaniciu

    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，指定在由参数矢量和姿势确定的区域S中要检测的解剖特征;提供一系列概率增强树分类器，每个具有预先 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（e）= { - 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。 通过对参数矢量和参数的参数空间进行均匀采样来检测该特征; 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，并且每个后续分类器使用用于训练所述先前分类器的较小采样间隔向量来对由先前分类器标识的正样本进行分类。 每个分类器形成其正样本与上一分类器的并集。

    SYSTEM AND METHOD FOR FETAL BIOMETRIC MEASUREMENTS FROM ULTRASOUND DATA AND FUSION OF SAME FOR ESTIMATION OF FETAL GESTATIONAL AGE
    4.
    发明申请
    SYSTEM AND METHOD FOR FETAL BIOMETRIC MEASUREMENTS FROM ULTRASOUND DATA AND FUSION OF SAME FOR ESTIMATION OF FETAL GESTATIONAL AGE 有权
    用于超声波数据进行生物量子化测量的系统和方法，用于估计FET AL AL AL AL OF OF OF E E

    公开(公告)号：US20070081705A1

    公开(公告)日：2007-04-12

    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。

    System and method for fetal biometric measurements from ultrasound data and fusion of same for estimation of fetal gestational age
    6.
    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。

    Method and system for advanced measurements computation and therapy planning from medical data and images using a multi-physics fluid-solid heart model
    9.
    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。