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11. 发明专利

JP2011031053A Method for detecting and matching anatomical structure in image, method for matching anatomical structure in image, and system for detecting and matching anatomical structure in image 有权
标题翻译：检测和匹配图像中的解剖结构的方法，图像中匹配解剖结构的方法，以及用于检测和匹配图像中的解剖结构的系统
公开(公告)号：JP2011031053A
公开(公告)日：2011-02-17
申请号：JP2010208240
申请日：2010-09-16
申请人： Siemens Medical Solutions Usa Inc , シーメンスメディカルソリューションズユーエスエーインコーポレイテッドSiemens Medical Solutions USA,Inc.
发明人： ZHOU XIANG SEAN , GEORGESCU BOGDAN , COMANICIU DORIN , RAO R BHARAT , GUPTA ALOK
IPC分类号： A61B8/00 , A61B5/117 , G06K9/62 , G06K9/64 , G06T1/00 , G06T7/00
CPC分类号： G06K9/6206 , G06K9/6256 , G06T7/12 , G06T7/149 , G06T7/251 , G06T2207/10132 , G06T2207/30048
摘要： PROBLEM TO BE SOLVED: To match anatomical structures by using appearances and shapes. SOLUTION: An image of a candidate anatomical structure is received, and the features are extracted from the image. The features associated with similarly shaped anatomical structures are compared to the candidate anatomical structure. A determination is made for the shape of the candidate anatomical structure by using the shape of at least one nearest neighbor from a training set. COPYRIGHT: (C)2011,JPO&INPIT
摘要翻译：要解决的问题：通过使用外观和形状来匹配解剖结构。解决方案：接收候选解剖结构的图像，并从图像中提取特征。将与类似形状的解剖结构相关联的特征与候选解剖结构进行比较。通过使用来自训练集的至少一个最近邻的形状来确定候选解剖结构的形状。版权所有（C）2011，JPO＆INPIT

12. 发明专利

JP2011031052A Method for detecting object in image 审中-公开
标题翻译：检测图像对象的方法
公开(公告)号：JP2011031052A
公开(公告)日：2011-02-17
申请号：JP2010208239
申请日：2010-09-16
申请人： Siemens Medical Solutions Usa Inc , シーメンスメディカルソリューションズユーエスエーインコーポレイテッドSiemens Medical Solutions USA,Inc.
发明人： ZHOU XIANG SEAN , GEORGESCU BOGDAN , COMANICIU DORIN , RAO R BHARAT , GUPTA ALOK
IPC分类号： A61B8/00 , A61B5/117 , G06K9/62 , G06K9/64 , G06T1/00 , G06T7/00
CPC分类号： G06K9/6206 , G06K9/6256 , G06T7/12 , G06T7/149 , G06T7/251 , G06T2207/10132 , G06T2207/30048
摘要： PROBLEM TO BE SOLVED: To detect an object by using appearances and shapes.
SOLUTION: A feature value is computed for a classifier in a window in an image. A determination is made as to whether the feature value is above a predetermined threshold value. If the feature value is above the threshold value, a subsequent feature value is computed for a subsequent classifier in the window of the image. The value of the feature value and the subsequent feature value are combined. A determination is made as to whether the combined feature value is above a combination threshold value for a current combination. If the combined feature value is above the combination threshold value, further the combined feature value is computed to include the subsequent classifiers until there are no subsequent classifiers, or the combined feature value is not above the combination threshold value. A final combined feature value is used to determine if the object has been detected.
COPYRIGHT: (C)2011,JPO&INPIT
摘要翻译：要解决的问题：通过使用外观和形状来检测物体。
解决方案：为图像中的窗口中的分类器计算特征值。确定特征值是否高于预定阈值。如果特征值高于阈值，则为图像的窗口中的后续分类器计算后续特征值。组合特征值和后续特征值的值。确定组合特征值是否高于当前组合的组合阈值。如果组合特征值高于组合阈值，则进一步计算组合特征值以包括后续分类器，直到没有后续分类器，或者组合特征值不高于组合阈值。最后的组合特征值用于确定是否检测到对象。版权所有（C）2011，JPO＆INPIT

13. 发明专利

JP2011000462A Method and system for detecting and tracking deformable shape of candidate object in image 有权
标题翻译：用于检测和跟踪图像中候选对象的可变形状的方法和系统
公开(公告)号：JP2011000462A
公开(公告)日：2011-01-06
申请号：JP2010208241
申请日：2010-09-16
申请人： Siemens Medical Solutions Usa Inc , シーメンスメディカルソリューションズユーエスエーインコーポレイテッドSiemens Medical Solutions USA,Inc.
发明人： ZHOU XIANG SEAN , GEORGESCU BOGDAN , COMANICIU DORIN , RAO R BHARAT , GUPTA ALOK
IPC分类号： A61B8/08 , G06K9/62 , G06K9/64 , G06T1/00 , G06T7/00
CPC分类号： G06K9/6206 , G06K9/6256 , G06T7/12 , G06T7/149 , G06T7/251 , G06T2207/10132 , G06T2207/30048
摘要： PROBLEM TO BE SOLVED: To detect and track a deformable shape of a candidate object in an image using appearance and shape.SOLUTION: This method and system for detecting and tracking the deformable shape of the candidate object in the image includes carrying out steps of detecting at least one control point of the deformable shape in an image frame; computing a location uncertainty matrix for each control point associated with the candidate object; generating a shape model to represent dynamics of the deformable shape in subsequent image frames in which the shape model includes statistical information from a training data set of images of representative objects; aligning the shape model to the deformable shape of the candidate object; fusing the shape model with the deformable shape; and evaluating a current shape of the candidate object.
摘要翻译：要解决的问题：使用外观和形状来检测和跟踪图像中候选物体的可变形形状。解决方案：用于检测和跟踪图像中候选物体的可变形形状的方法和系统包括执行检测步骤图像帧中的可变形形状的至少一个控制点; 计算与候选对象相关联的每个控制点的位置不确定性矩阵; 生成形状模型以表示后续图像帧中的可变形形状的动态，其中形状模型包括来自代表性对象的图像的训练数据集的统计信息; 将形状模型对准候选对象的可变形形状; 将形状模型与可变形的形状融合; 以及评估候选对象的当前形状。

14. 发明申请

WO2005034039A3 SYSTEM AND METHOD FOR LOCAL DEFORMABLE MOTION ANALYSIS 审中-公开
标题翻译：用于局部可变形运动分析的系统和方法
公开(公告)号：WO2005034039A3
公开(公告)日：2005-07-21
申请号：PCT/US2004032724
申请日：2004-10-04
申请人： SIEMENS CORP RES INC , GEORGESCU BOGDAN , ZHOU XIANG SEAN , COMANICIU DORIN , KRISHNAN SRIRAM
发明人： GEORGESCU BOGDAN , ZHOU XIANG SEAN , COMANICIU DORIN , KRISHNAN SRIRAM
IPC分类号： G06K9/00 , G06T7/20
CPC分类号： G06T7/20 , G06T7/0016 , G06T7/251 , G06T2207/10132 , G06T2207/30048
摘要： [0061] A system and method for local deformable motion analysis and for accurately tracking motion of an object isolating local motion of an object from global motion of an object is disclosed. 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. A system and method for accurately measuring the local deformable motion of an object as the relative motion between two control point sets is disclosed. The point sets are defined as the inner contour and the outer contour of an object. The motion of the control point sets is estimated and the relative motion is used to characterize the local deformation and local motion of the object
摘要翻译：公开了一种用于局部可变形运动分析和准确跟踪物体的运动的系统和方法，该物体隔离物体的局部运动与物体的全局运动。该对象在图像序列中被查看并且图像区域被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。对物体图像区域中的测量的全局运动进行补偿以测量物体的局部运动，并跟踪物体的局部运动。公开了一种用于精确测量物体的局部可变形运动的系统和方法，作为两个控制点集之间的相对运动。点集被定义为对象的内部轮廓和外部轮廓。估计控制点集的运动，并使用相对运动来表征物体的局部变形和局部运动

15. 发明申请

WO2006029037A3 SYSTEM AND METHOD FOR TRACKING ANATOMICAL STRUCTURES IN THREE DIMENSIONAL IMAGES 审中-公开
标题翻译：用于跟踪三维图像中的解剖结构的系统和方法
公开(公告)号：WO2006029037A3
公开(公告)日：2006-08-17
申请号：PCT/US2005031444
申请日：2005-09-02
申请人： SIEMENS MEDICAL SOLUTIONS , XIAO JING , GEORGESCU BOGDAN , ZHOU XIANG SEAN , COMANICIU DORIN
发明人： XIAO JING , GEORGESCU BOGDAN , ZHOU XIANG SEAN , COMANICIU DORIN
IPC分类号： G06T7/20
CPC分类号： G06K9/3216 , A61B8/08 , A61B8/0883 , A61B8/463 , A61B8/483 , G06K2209/051 , G06T7/0016 , G06T7/12 , G06T7/149 , G06T7/246 , G06T7/277 , G06T2200/04 , G06T2200/24 , G06T2207/10136 , G06T2207/30048 , Y10S128/922
摘要： A system and method for defining and tracking a deformable shape of a candidate anatomical structure wall in a three dimensional (3D) image is disclosed. The shape of the candidate anatomical structure is represented by a plurality of labeled 3D landmark points. At least one 3D landmark point of the deformable shape in an image frame is defined. A 3D cuboid is defined around the detected 3D landmark point. For each landmark point associated with the anatomical structure, its location and location uncertainty matrix is estimated in subsequent frames relative to the reference anatomical structures. A shape model is generated to represent dynamics of the deformable shape in subsequent image frames. The shape model includes statistical information from a training data set of 3D images of representative anatomical structures. The shape model is aligned to the deformable shape of the candidate anatomical structure. The shape model is fused with the deformable shape. A current shape of the candidate anatomical strucutre is estimated.
摘要翻译：公开了一种用于定义和追踪三维（3D）图像中的候选解剖结构壁的可变形形状的系统和方法。候选解剖结构的形状由多个标记的3D地标点表示。定义了图像帧中至少一个可变形形状的3D地标点。在检测到的3D地标点周围定义3D立方体。对于与解剖结构相关联的每个界标点，在相对于参考解剖结构的后续帧中估计其位置和位置不确定性矩阵。生成形状模型以表示随后图像帧中的可变形形状的动态。形状模型包括来自代表性解剖结构的3D图像的训练数据集的统计信息。形状模型与候选解剖结构的可变形形状对齐。形状模型与可变形形状融合。估计候选解剖结构的当前形状。

16. 发明专利

DE102016108737A1 Wissensbasierte Ultraschallbildverbesserung 未知
公开(公告)号：DE102016108737A1
公开(公告)日：2016-12-01
申请号：DE102016108737
申请日：2016-05-11
申请人： SIEMENS CORP , SIEMENS MEDICAL SOLUTIONS USA INC
发明人： RAO BIMBA , HOULE HELENE , GEORGESCU BOGDAN
IPC分类号： A61B8/00
摘要： Bildverbesserung (20) wird für den medizinischen, diagnostischen Ultraschall bereitgestellt. Wissensbasierte Erkennung (14) von Anatomie oder Artefakt identifiziert zu verbessernde Lokalisationen. Die wissensbasierte Erkennung (14) der Lokalisationen kann die Identifizierung einer anderen Anatomie oder von Artefakten vermeiden. Die Bildverbesserung (20) wird bei identifizierten Lokalisationen und keinen anderen angewandt.

17. 发明专利

DE602004009960D1 未知
公开(公告)号：DE602004009960D1
公开(公告)日：2007-12-20
申请号：DE602004009960
申请日：2004-11-19
申请人： SIEMENS MEDICAL SOLUTIONS
发明人： ZHOU XIANG SEAN , GEORGESCU BOGDAN , COMANICIU DORIN , RAO R BHARAT , GUPTA ALOK
IPC分类号： G06T7/00 , G06F19/00 , G06K9/62 , G06K9/64
摘要： A detection framework that matches anatomical structures using appearance and shape is disclosed. A training set of images are used in which object shapes or structures are annotated in the images. A second training set of images represents negative examples for such shapes and structures, i.e., images containing no such objects or structures. A classification algorithm trained on the training sets is used to detect a structure at its location. The structure is matched to a counterpart in the training set that can provide details about the structure's shape and appearance.

18. 发明专利

DE112005001743T5 未知
公开(公告)号：DE112005001743T5
公开(公告)日：2007-07-26
申请号：DE112005001743
申请日：2005-08-31
申请人： SIEMENS MEDICAL SOLUTIONS
发明人： COMANICIU DORIN , GEORGESCU BOGDAN , XIAO JING , ZHOU XIANG
IPC分类号： G06T7/00
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 M i ⁢ Q k ⁢ M j T = { I D x D , i = j = k 0 D x D , ( i , j ) ∈ Phi , where Phi stands for {(i, j)|i=1, . . . , K; j=1, . . . , N, igammak}, which represents an ambiguity matrix transforming the proposed scaled rotation matrix and the proposed basis matrix into a true scaled rotation matrix and a true basis matrix; decomposing the matrix Qk into gkgkT, for k=1, . . . , K, wherein gk is a column of a D∃K%D∃K matrix G; and recovering the true scaled rotation matrix from Mx∃G and the true basis matrix from G-1x∃B.

19. 发明专利

DE102007046582A1 未知
公开(公告)号：DE102007046582A1
公开(公告)日：2008-05-08
申请号：DE102007046582
申请日：2007-09-27
申请人： SIEMENS MEDICAL SOLUTIONS , SIEMENS AG
发明人： ZHENG YEFENG , GEORGESCU BOGDAN , COMANICIU DORIN , BARBU ADRIAN , SCHEUERING MICHAEL
IPC分类号： A61B6/03 , A61B19/00 , G06T7/00

20. 发明专利

DE102006039922A1 未知
公开(公告)号：DE102006039922A1
公开(公告)日：2007-04-12
申请号：DE102006039922
申请日：2006-08-25
申请人： SIEMENS MEDICAL SOLUTIONS
发明人： ZHENG YEFENG , ZHOU XIANG , ZHOU SHAOHUA KEVIN , GEORGESCU BOGDAN , COMANICIU DORIN
IPC分类号： G06T7/40
摘要： A system and method for identifying a shape of an anatomical structure in an input image is disclosed. An input image is received and warped using a set of warping templates resulting in a set of warped images. An integral image is calculated for each warped image. Selected features are extracted based on the integral image. A boosted feature score is calculated for the combined selected features for each warped image. The warped images are ranked based on the boosted feature scores. A predetermined number of warped images are selected that have the largest feature scores. Each selected warped image is associated with its corresponding warping template. The corresponding warping templates are associated with stored shape models. The shape of the input image is identified based on the weighted average of the shapes models.

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