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1. 发明专利

JP2009072593A Automated detection method of plane from three-dimensional echocardiographic data 审中-公开
标题翻译：自动检测方法从三维地球化学数据
公开(公告)号：JP2009072593A
公开(公告)日：2009-04-09
申请号：JP2008240045
申请日：2008-09-18
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： LU XIAOGUANG , GEORGESCU BOGDAN , ZHENG YEFENG , JOANNE OTSUKI , DORIN COMANICIU
IPC分类号： A61B8/08 , G06F19/00
CPC分类号： A61B8/00 , A61B8/06 , A61B8/065 , A61B8/08 , A61B8/0883 , A61B8/0891 , A61B8/13 , A61B8/14 , A61B8/463 , A61B8/483 , A61B8/488 , A61B8/523 , G06F19/321 , G06K9/468 , G06K9/6256 , G16H50/20
摘要： PROBLEM TO BE SOLVED: To provide a method for automatically detecting planes from three-dimensional echocardiographic data. SOLUTION: A plane position for a standard view is detected from three-dimensional echocardiographic data (step 36). The position of the plane within the volume is defined by translation, orientation (rotation), and/or scale. Possible positions are detected (step 36) and other possible positions are ruled out. The classification of the possible positions occurs sequentially by translation (step 26), then orientation (step 28), and then scale (step 30). The sequential process may limit calculations required to identify the plane position for a desired view. COPYRIGHT: (C)2009,JPO&INPIT
摘要翻译：要解决的问题：提供一种用于从三维超声心动图数据自动检测平面的方法。解决方案：从三维超声心动图数据检测标准视图的平面位置（步骤36）。平面在体积内的位置由平移，定向（旋转）和/或刻度来定义。检测到可能的位置（步骤36），排除其它可能的位置。可能的位置的分类通过平移（步骤26），然后取向（步骤28），然后按比例（步骤30）顺序地进行。顺序过程可能会限制为所需视图识别平面位置所需的计算。版权所有（C）2009，JPO＆INPIT

2. 发明专利

JP2008080132A System and method for detecting object in high-dimensional image space 审中-公开
标题翻译：用于检测高维图像空间中物体的系统和方法
公开(公告)号：JP2008080132A
公开(公告)日：2008-04-10
申请号：JP2007254196
申请日：2007-09-28
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： BARBU ADRIAN , ZHENG YEFENG , YANG JIN , GEORGESCU BOGDAN , COMANICIU DORIN
IPC分类号： A61B6/03 , G06T1/00
CPC分类号： G06K9/6292
摘要： PROBLEM TO BE SOLVED: To provide a method for a high speed detection of an object in a high-dimensional space by which the searching space can remarkably be reduced while still maintaining an accurate result.
SOLUTION: This system and this method for detecting the object in the high dimensional image space are disclosed. The three-dimensional image of the object is received. The training of a first classifier is performed in an edge space at the object central positions which form the central positions of a predetermined number of candidate objects. The training of a second classifier is performed in order to recognize the possible object central positions and the orientations from the central positions of the predetermined number of candidate objects. The training of a third classifier is performed in order to recognize the possible positions, the orientations and the scales of the object centers from a subsidiary setting for the central positions of the candidate objects. A single candidate object pose for the object is recognized.
COPYRIGHT: (C)2008,JPO&INPIT
摘要翻译：要解决的问题：提供一种用于高维度空间中的对象的高速检测的方法，通过该方法可以显着地减少搜索空间，同时仍然保持精确的结果。公开了该系统和用于检测高维图像空间中的对象的该方法。接收对象的三维图像。在形成预定数量候选对象的中心位置的对象中心位置的边缘空间中执行第一分类器的训练。执行第二分类器的训练以便从预定数量的候选对象的中心位置识别可能的对象中心位置和取向。执行第三分类器的训练，以便从候选对象的中心位置的辅助设置识别对象中心的可能位置，方向和尺度。识别对象的单个候选对象姿势。版权所有（C）2008，JPO＆INPIT

3. 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

4. 发明专利

DE102007046065A1 未知
公开(公告)号：DE102007046065A1
公开(公告)日：2008-05-15
申请号：DE102007046065
申请日：2007-09-26
申请人： SIEMENS MEDICAL SOLUTIONS
发明人： BARBU ADRIAN , ZHENG YEFENG , YANG JING , GEORGESCU BOGDAN , COMANICIU DORIN
IPC分类号： G06T7/60 , G06T1/40
摘要： A system and method for detecting an object in a high dimensional image space is disclosed. A three dimensional image of an object is received. A first classifier is trained in the marginal space of the object center location which generates a predetermined number of candidate object center locations. A second classifier is trained to identify potential object center locations and orientations from the predetermined number of candidate object center locations and maintaining a subset of the candidate object center locations. A third classifier is trained to identify potential locations, orientations and scale of the object center from the subset of the candidate object center locations. A single candidate object pose for the object is identified.

5. 发明专利

DE102008046861A1 未知
公开(公告)号：DE102008046861A1
公开(公告)日：2009-05-14
申请号：DE102008046861
申请日：2008-09-12
申请人： SIEMENS MEDICAL SOLUTIONS
发明人： LU XIAOGUANG , GEORGESCU BOGDAN , ZHENG YEFENG , OTSUKI JOANNE , COMANICIU DORIN
IPC分类号： A61B8/13 , A61B8/08 , G06F19/00
摘要： A plane position for a standard view is detected from three-dimensional echocardiographic data. The position of the plane within the volume is defined by translation, orientation (rotation), and/or scale. Possible positions are detected and other possible positions are ruled out. The classification of the possible positions occurs sequentially by translation, then orientation, and then scale. The sequential process may limit calculations required to identify the plane position for a desired view.

6. 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.

7. 发明专利

DE102008046861B4 Automatisierte Detektion von Ebenen aus echokardiographischen 3D Daten 未知
公开(公告)号：DE102008046861B4
公开(公告)日：2011-06-01
申请号：DE102008046861
申请日：2008-09-12
申请人： SIEMENS MEDICAL SOLUTIONS
发明人： LU XIAOGUANG , GEORGESCU BOGDAN , ZHENG YEFENG , OTSUKI JOANNE , COMANICIU DORIN
IPC分类号： A61B8/13 , A61B8/08 , G06F19/00 , G06T15/00

8. 发明专利

JP2010000349A Method and system for detecting 3d anatomical object using restricted marginal space learning 有权
标题翻译：使用限制性空间学习检测3D解剖学对象的方法和系统
公开(公告)号：JP2010000349A
公开(公告)日：2010-01-07
申请号：JP2009135170
申请日：2009-06-04
申请人： Siemens Ag , シーメンスアクチエンゲゼルシヤフトSiemens Aktiengesellschaft
发明人： ZHENG YEFENG , GEORGESCU BOGDAN , LING HAIBIN , SCHEUERING MICHAEL , DORIN COMANICIU
IPC分类号： A61B6/03 , G06F17/30 , G06T1/00
CPC分类号： G06K9/3233 , G06K2209/051 , G06T7/75 , G06T2207/10081 , G06T2207/30004
摘要： PROBLEM TO BE SOLVED: To more improve an efficiency for detecting an anatomical object by using an MSL in the detection of the 3D anatomical object.
SOLUTION: As for an inputted medical image, a restricted search range is determined in accordance with a training volume. A position candidate is detected within the restricted search range by using a first classification member to be trained. In the training volume, a direction example is used to form a position-direction assumption from the position candidate. A position-direction candidate is detected from the position-direction assumption by using a second classification member to be trained. In the training volume, a similarity converting assumption is formed from the position-direction candidate in accordance with a scale example. Similarity converting candidates are detected from the similarity converting assumption by using a third classification member to be trained. In accordance with at least one of the similarity converting candidates, the 3D anatomical object is detected in a medical image volume.
COPYRIGHT: (C)2010,JPO&INPIT
摘要翻译：要解决的问题：通过在检测3D解剖体中使用MSL来更有效地提高检测解剖体的效率。
解决方案：对于输入的医学图像，根据训练量确定受限搜索范围。通过使用要训练的第一分类成员在受限搜索范围内检测候选位置。在训练量中，使用方向例来从候选位置形成位置方向假设。通过使用要训练的第二分类成员从位置方向假设检测位置方向候选。在训练量中，根据比例示例从位置方向候补形成相似度转换假设。通过使用要训练的第三分类成员从相似性转换假设检测相似度转换候选。根据相似度转换候选中的至少一个，在医学图像体积中检测3D解剖对象。版权所有（C）2010，JPO＆INPIT

9. 发明专利

JP2012024582A Method and system for comprehensive patient-specific modeling of the heart 有权
标题翻译：心脏综合患者特异性建模的方法和系统
公开(公告)号：JP2012024582A
公开(公告)日：2012-02-09
申请号：JP2011159979
申请日：2011-07-21
申请人： Siemens Ag , Siemens Corp , シーメンスアクチエンゲゼルシヤフトSiemens Aktiengesellschaft , シーメンスコーポレーションSiemens Corporation
发明人： IONASEC RAZVAN IOAN , VOIGT INGMAR , MIHALEF VIOREL , GRBIC SASA , VITANOVSKI DIME , WANG YAN , ZHENG YEFENG , GEORGESCU BOGDAN , COMANICIU DORIN , MANSI TOMMASO , SHARMA PUNEET
IPC分类号： A61B6/03 , A61B5/055
摘要： PROBLEM TO BE SOLVED: To provide a method and system for patient-specific modeling of the anatomical structure of the entire heart, dynamics, hemodynamics, and fluid structure interaction from 4D medical image data.SOLUTION: A method of simulating a blood flow of the heart based on the 4D medical image data includes a step of generating a 4D anatomical model of the patient-specific heart from the 4D medical image data, and a step of simulating the blood flow of the heart by solving a Navier-Stokes solver restricted by the patient-specific 4D anatomical model in respective time steps in one cardiac cycle using a level set framework.
摘要翻译：要解决的问题：为4D医学图像数据提供整个心脏的解剖结构，动力学，血流动力学和流体结构相互作用的患者特异性建模的方法和系统。解决方案：基于4D医学图像数据模拟心脏血流的方法包括从4D医学图像数据生成患者特异性心脏的4D解剖模型的步骤，以及模拟通过使用水平设置框架在一个心动周期中的相应时间步长中解决由患者特定的4D解剖模型限制的Navier-Stokes求解器来获得心脏的血流。版权所有（C）2012，JPO＆INPIT

10. 发明专利

DE102011013505A1 Verfahren und System zur automatischen Erkennung und Klassifizierung von Koronarstenosen in Herz-CT-Volumina 未知
公开(公告)号：DE102011013505A1
公开(公告)日：2012-02-16
申请号：DE102011013505
申请日：2011-03-10
申请人： SIEMENS AG , SIEMENS CORP
发明人： MITTAL SUSHIL , GEORGESCU BOGDAN , ZHENG YEFENG , VEGA-HIGUERA FERNANDO , ZHOU SHAOHUA KEVIN , COMANICIU DORIN , KELM MICHAEL , TSYMBAL ALEXEY , BERNHARDT DOMINIK
IPC分类号： A61B19/00 , A61B6/03 , G06T7/40
摘要： Ein Verfahren und ein System zum Schaffen des Erkennens und Klassifizierens von Koronarstenosen in 3D-CT-Bilddaten werden offenbart. Mittellinien von Koronargefäßen werden aus den CT-Bilddaten extrahiert. Nicht zu Gefäßen gehörende Bereiche werden erkannt und von den Koronargefäß-Mittellinien entfernt. Die Querschnittsfläche des Lumens wird auf Grundlage der Koronargefäß-Mittellinien unter Verwendung einer trainierten Regressionsfunktion geschätzt. Stenose-Kandidaten werden in den Koronargefäßen auf Grundlage der geschätzten Lumen-Querschnittsfläche erkannt, und die signifikanten Stenose-Kandidaten werden automatisch als verkalkt, nicht verkalkt oder gemischt klassifiziert.

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