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1. 发明申请

WO2008016530A3 COMPUTER AIDED DETECTION AND DECISION SUPPORT 审中-公开
标题翻译：计算机辅助检测和决策支持
公开(公告)号：WO2008016530A3
公开(公告)日：2008-04-24
申请号：PCT/US2007016780
申请日：2007-07-26
申请人： SIEMENS MEDICAL SOLUTIONS , SIEMENS CORP RES INC , SIEMENS AG , ZHOU XIANG , GUPTA ALOK , KRISHNAN ARUN , COMANICIU DORIN , FREUND JOERG
发明人： ZHOU XIANG , GUPTA ALOK , KRISHNAN ARUN , COMANICIU DORIN , FREUND JOERG
IPC分类号： G06F17/30
CPC分类号： G06F17/30247 , G06F19/321 , G06T7/0012 , G06T2207/30004 , G06T2207/30196 , G16H50/70
摘要： A system (100) for computer aided detection and decision support includes an ontology of image representations (101) for injecting meaning into and adding relationships among image contents, an image understanding and parsing module (103) in communication with the ontology of image representations (101) for extracting structures from an image (104) including the image contents, and a reasoning engine (102) in communication with the ontology and the image understanding and parsing module (103) for classifying the image contents, wherein the system (100) receives the image (104) and corresponding descriptive information (105).
摘要翻译：一种用于计算机辅助检测和决策支持的系统（100）包括：图像表示（101）的本体，用于将图像内容中的意义注入和添加关系，以及与图像表示本体通信的图像理解和解析模块（103） 101），用于从包括图像内容的图像（104）提取结构，以及与本体通信的推理引擎（102）和用于对图像内容进行分类的图像理解和解析模块（103），其中系统（100）接收图像（104）和对应的描述信息（105）。

2. 发明申请

WO2006029227A3 SYSTEM AND METHOD FOR ANATOMICAL STRUCTURE PARSING AND DETECTION 审中-公开
标题翻译：用于解剖结构分析和检测的系统和方法
公开(公告)号：WO2006029227A3
公开(公告)日：2006-06-01
申请号：PCT/US2005031912
申请日：2005-09-06
申请人： SIEMENS CORP RES INC , SIEMENS MEDICAL SOLUTIONS , TU ZHUOWEN , ZHOU XIANG SEAN , COMANICIU DORIN , SCHULTZ CHRISTIAN P
发明人： TU ZHUOWEN , ZHOU XIANG SEAN , COMANICIU DORIN , SCHULTZ CHRISTIAN P
IPC分类号： G06T5/00
CPC分类号： G06K9/6256 , G06T7/11 , G06T7/143 , G06T2207/10072 , G06T2207/30004
摘要： A method for segmenting a digitized image includes providing a digitized image comprising a plurality of intensities defined on a lattice of pixels, initializing (22) a Bayesian prior probability and likelihood function for segmenting said image, decomposing (23) said image into a union of a plurality of subspaces wherein each subspace is a product of k-partitions, and distributing a plurality Bayesian posterior probability functions over said subspaces, updating (25) said Bayesian posterior probability functions via a data-driven Markov-chain, and selecting (27) a subset of said Bayesian posterior probability functions that approximate a true Bayesian posterior probability function.
摘要翻译：一种用于分割数字化图像的方法包括提供包括在像素的格子上定义的多个强度的数字化图像，初始化（22）用于分割所述图像的贝叶斯先验概率和似然函数，将所述图像分解为（23）多个子空间，其中每个子空间是k分区的乘积，并且在所述子空间上分布多个贝叶斯后验概率函数，经由数据驱动的马尔科夫链更新（25）所述贝叶斯后验概率函数，并且选择（27）所述贝叶斯后验概率函数的子集近似真实的贝叶斯后验概率函数。

3. 发明申请

WO2004044819A8 SYSTEM AND METHOD FOR REAL-TIME FEATURE SENSITIVITY ANALYSIS BASED ON CONTEXTUAL INFORMATION 审中-公开
标题翻译：基于背景信息的实时特征灵敏度分析系统与方法
公开(公告)号：WO2004044819A8
公开(公告)日：2004-12-16
申请号：PCT/US0335573
申请日：2003-11-07
申请人： SIEMENS CORP RES INC , SIEMENS MEDICAL SOLUTIONS
发明人： COMANICIU DORIN , KRISHNAN ARUN , ZHOU XIANG SEAN , DUGGIRALA BHAVANI , PAINE DIANE
IPC分类号： A61B8/08 , G06F19/00 , G06K9/62
CPC分类号： A61B8/08 , A61B8/0883 , A61B8/463 , A61B8/465 , G06K9/6217 , G16H50/20
摘要： A system and method for assigning feature sensitivity values to a set of potential measurements to be taken during a medical procedure of a patient in order to provide a medical diagnosis is disclosed. Data is received from a sensor that represents a particular medical measurement. The received data and context data are analyzed with respect to one or more sets of training models. Feature sensitivity values are derived for the particular medical measurement and other potential measurements to be taken based the analysis, and the feature sensitivity values are outputted

4. 发明申请

WO2005096226A3 SYSTEMS AND METHODS PROVIDING AUTOMATED DECISION SUPPORT FOR MEDICAL IMAGING 审中-公开
标题翻译：提供医疗成像自动化决策支持的系统和方法
公开(公告)号：WO2005096226A3
公开(公告)日：2006-04-27
申请号：PCT/US2005009646
申请日：2005-03-23
申请人： SIEMENS MEDICAL SOLUTIONS , SIEMENS CORP RES INC , KRISHNAN SRIRAM , COMANICIU DORIN , XIANG SEAN ZHOU , CANNON MICHAEL G , DUTTON ALLEN
发明人： KRISHNAN SRIRAM , COMANICIU DORIN , XIANG SEAN ZHOU , CANNON MICHAEL G , DUTTON ALLEN
IPC分类号： G06T7/00
CPC分类号： G06T7/0012
摘要： Systems and methods are provided for processing a medical image to automatically identify the anatomy and view (or pose) from the medical image and automatically assess the diagnostic quality of the medical image. In one aspect a method for automated decision support for medical imaging includes obtaining image data, extracting feature data from the image data, and automatically performing anatomy identification, view identification and/or determining a diagnostic quality of the image data, using the extracted feature data.
摘要翻译：提供了系统和方法来处理医学图像以自动识别解剖结构并从医学图像中观察（或姿势）并自动评估医学图像的诊断质量。一方面，用于医学成像的自动决策支持的方法包括从所述图像数据获取图像数据，提取特征数据，以及使用所提取的特征数据自动执行解剖识别，查看识别和/或确定图像数据的诊断质量。

5. 发明申请

WO2005081168A3 SYSTEMS AND METHODS FOR AUTOMATED DIAGNOSIS AND DECISION SUPPORT FOR HEART RELATED DISEASES AND CONDITIONS 审中-公开
标题翻译：自动诊断和心理支持的系统与方法相关疾病和病症
公开(公告)号：WO2005081168A3
公开(公告)日：2005-12-01
申请号：PCT/US2004040757
申请日：2004-12-06
申请人： SIEMENS MEDICAL SOLUTIONS , SIEMENS CORP RES INC , KRISHNAN SRIRAM , GUPTA ALOK , RAO R BHARAT , COMANICIU DORIN , ZHOU XIANG SEAN
发明人： KRISHNAN SRIRAM , GUPTA ALOK , RAO R BHARAT , COMANICIU DORIN , ZHOU XIANG SEAN
IPC分类号： A61B5/05 , G06F17/00 , G06F19/00
CPC分类号： G16H50/20
摘要： CAD (computer-aided diagnosis) systems and applications for cardiac imaging are provided, which implement methods to automatically extract and analyze features from a collection of patient information (including image data and/or non-image data) of a subject patient, to provide decision support for various aspects of physician workflow including, for example, automated assessment of regional myocardial function through wall motion analysis, automated diagnosis of heart diseases and conditions such as cardiomyopathy, coronary artery disease and other heart-related medical conditions, and other automated decision support functions. The CAD systems implement machine-learning techniques that use a set of training data obtained (learned) from a database of labeled patient cases in one or more relevant clinical domains and/or expert interpretations of such data to enable the CAD systems to "learn" to analyze patient data and make proper diagnostic assessments and decisions for assisting physician workflow.
摘要翻译：提供了用于心脏成像的CAD（计算机辅助诊断）系统和应用，其实现了从受试患者的患者信息（包括图像数据和/或非图像数据）的集合中自动提取和分析特征的方法，以提供对医师工作流程的各个方面的决策支持，包括例如通过壁运动分析自动评估区域心肌功能，心脏疾病的自动诊断和诸如心肌病，冠状动脉疾病和其他与心脏相关的医疗状况等条件，以及其他自动化决策支持功能。 CAD系统实施机器学习技术，其使用从一个或多个相关临床领域的标记的患者病例的数据库获得（学习）的一组训练数据和/或对这些数据的专家解释，使得CAD系统能够“学习” 分析患者数据，进行适当的诊断评估和决策，以协助医师的工作流程。

6. 发明申请

WO2004081875A3 SYSTEM AND METHOD FOR TRACKING A GLOBAL SHAPE OF AN OBJECT IN MOTION 审中-公开
标题翻译：跟踪运动对象的全球形状的系统和方法
公开(公告)号：WO2004081875A3
公开(公告)日：2005-10-06
申请号：PCT/US2004007068
申请日：2004-03-08
申请人： SIEMENS CORP RES INC , SIEMENS MEDICAL SOLUTIONS , COMANICIU DORIN , KRISHNAN SRIRAM , ZHOU XIANG SEAN , GEORGESCU BOGDAN
发明人： COMANICIU DORIN , KRISHNAN SRIRAM , ZHOU XIANG SEAN , GEORGESCU BOGDAN
IPC分类号： G06K9/00 , G06T5/00 , G06T7/20
CPC分类号： G06K9/6247 , G06K9/3216 , G06K9/629 , G06K2209/051 , G06T7/215 , G06T7/251 , G06T2207/10132 , G06T2207/30048
摘要： A system and method for tracking a global shape of an object in motion is disclosed. One or more control points along an initial contour of the global shape are defined. Each of the one or more control points is tracked as the object is in motion. Uncertainty of a location of a control point in motion is represented using a number of techniques. The uncertainty to constrain the global shape is exploited using a prior shape model. In an alternative embodiment, multiple appearance models are built for each control point and the motion vectors produced by each model are combined in order to track the shape of the object. The movement of the shape of the object can be visually tracked using a display and color vectors.
摘要翻译：公开了一种跟踪运动对象的全局形状的系统和方法。定义沿着全局形状初始轮廓的一个或多个控制点。一个或多个控制点中的每一个在物体运动时被跟踪。使用许多技术来表示控制点在运动中的位置的不确定性。使用先前的形状模型来利用限制全局形状的不确定性。在替代实施例中，为每个控制点构建多个外观模型，并且组合由每个模型产生的运动矢量以跟踪对象的形状。可以使用显示和颜色向量来可视地跟踪对象的形状的移动。

7. 发明申请

WO2006044242A2 METHOD FOR DETECTING POLYPS IN A THREE DIMENSIONAL IMAGE VOLUME 审中-公开
标题翻译：在三维图像体积中检测多边形的方法
公开(公告)号：WO2006044242A2
公开(公告)日：2006-04-27
申请号：PCT/US2005036123
申请日：2005-10-07
申请人： SIEMENS CORP RES INC , SIEMENS MEDICAL SOLUTIONS , TU ZHUOWEN , ZHOU XIANG SEAN , BARBU ADRIAN , BOGONI LUCA , COMANICIU DORIN
发明人： TU ZHUOWEN , ZHOU XIANG SEAN , BARBU ADRIAN , BOGONI LUCA , COMANICIU DORIN
IPC分类号： G06K9/62
CPC分类号： G06K9/4614 , G06K9/6206 , G06K9/6214 , G06K9/6257 , G06K2209/053 , G06T7/0012 , G06T2207/10072 , G06T2207/30032
摘要： A method for detecting target objects in a three dimensional (3D) image volume of an anatomical structure is disclosed. A set of candidate locations in the image volume are obtained. For each candidate location, sub-volumes of at least two different scales are cropped out. Each sub-volume comprises a plurality of voxels. For each of the sub-volumes, each sub-volume is rotated in at least two different orientations. A shape classifier is applied to each sub-volume. If the voxels in the sub-volume pass the shape classifier, a gradient direction is computed for the voxels. If the gradient direction for the voxels is one of a predefined orientation, a probability classifier is applied to the voxels. A probability measure computed by the probability classifier as a confidence measure is used for the sub-volume. If the confidence measure is above a predetermined threshold value, the sub-volume is determined to contain the target object
摘要翻译：公开了一种用于检测解剖结构的三维（3D）图像体积中的目标对象的方法。获得图像体积中的一组候选位置。对于每个候选位置，至少有两个不同比例的子卷被裁剪掉。每个子体积包括多个体素。对于每个子体积，每个子体积至少在两个不同的方向旋转。形状分类器应用于每个子卷。如果子体积中的体素通过形状分类器，则为体素计算梯度方向。如果体素的梯度方向是预定义方向之一，则将概率分类器应用于体素。由概率分类器计算的概率度量作为置信度量度用于子量。如果置信度量高于预定阈值，则确定子量包含目标对象

8. 发明申请

WO2005008592A3 METHOD FOR ROBUST SCALE-SPACE ANALYSIS OF 3D LOCAL STRUCTURES IN MEDICAL IMAGES 审中-公开
标题翻译：用于医学图像中3D局部结构的稳定尺度空间分析的方法
公开(公告)号：WO2005008592A3
公开(公告)日：2005-10-06
申请号：PCT/US2004023250
申请日：2004-07-19
申请人： SIEMENS CORP RES INC , SIEMENS MEDICAL SOLUTIONS
发明人： OKADA KAZUNORI , COMANICIU DORIN , BOGONI LUCA
IPC分类号： G06K9/00 , G06K9/36 , G06K9/46 , G06T5/00 , G06T7/00 , G06T7/60
CPC分类号： G06K9/4671 , G06T7/60 , G06T7/70 , G06T2200/04 , G06T2207/10072 , G06T2207/20016 , G06T2207/20101 , G06T2207/30096
摘要： A method for determining the location, shape and orientation of a tumor in a medical image includes finding a plurality of spatial extrema µ of a D-dimensional spatial signal f for a set of bandwidths H by performing (11) mean shift-based gradient-ascent iterations for a set of bandwidths H and then determining (12) a D-dimensional spread and orientation of the signal about each extrema µ by estimating a covariance Sigma of the signal f for each extrema µ . The optimal estimate of µ and Sigma is determined by performing (13) a Jensen-Shannon divergence on the full set µ of and Sigma .
摘要翻译：用于确定医学图像中的肿瘤的位置，形状和取向的方法包括：通过执行（11）基于平均移位的梯度相关性来找到一组带宽H的D维空间信号f的多个空间极值μ，针对一组带宽H进行上升迭代，然后通过估计每个极值μ的信号f的协方差Sigma来确定（12）关于每个极值μ的信号的D维扩展和取向。 μ和Sigma的最佳估计是通过对（Sigma）Sigma的全集μ执行（13）Jensen-Shannon发散来确定的。

9. 发明申请

WO2005052860A3 SYSTEM AND METHOD FOR DETECTING AND MATCHING ANATOMICAL STRUCTURES USING APPEARANCE AND SHAPE 审中-公开
标题翻译：使用外观和形状检测和匹配解剖结构的系统和方法
公开(公告)号：WO2005052860A3
公开(公告)日：2005-09-22
申请号：PCT/US2004038837
申请日：2004-11-19
申请人： SIEMENS CORP RES INC , SIEMENS MEDICAL SOLUTIONS , ZHOU XIANG SEAN , GEORGESCU BOGDAN , COMANICIU DORIN , RAO R BHARAT , GUPTA ALOK
发明人： ZHOU XIANG SEAN , GEORGESCU BOGDAN , COMANICIU DORIN , RAO R BHARAT , GUPTA ALOK
IPC分类号： G06K9/62 , G06K9/64 , G06T7/00 , G06F19/00
CPC分类号： G06K9/6206 , G06K9/6256 , G06T7/12 , G06T7/149 , G06T7/251 , G06T2207/10132 , G06T2207/30048
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
摘要翻译：公开了一种使用外观和形状匹配解剖结构的检测框架。使用图像的训练集合，其中对图像中的对象形状或结构进行注释。图像的第二训练集表示这种形状和结构的负面例子，即不包含这样的对象或结构的图像。在训练集上训练的分类算法用于检测其位置处的结构。该结构与训练集中的对应部分相匹配，可以提供关于结构形状和外观的详细信息

10. 发明专利

CA2560839A1 SYSTEMS AND METHODS PROVIDING AUTOMATED DECISION SUPPORT FORMEDICAL IMAGING 未知
公开(公告)号：CA2560839A1
公开(公告)日：2005-10-13
申请号：CA2560839
申请日：2005-03-23
申请人： SIEMENS MEDICAL SOLUTIONS , SIEMENS CORP RES INC
发明人： DUTTON ALLEN , KRISHNAN SRIRAM , COMANICIU DORIN , ZHOU XIANG SEAN , CANNON MICHAEL G
IPC分类号： G06T7/00
摘要： Systems and methods are provided for processing a medical image to automatically identify the anatomy and view (or pose) from the medical image and automatically assess the diagnostic quality of the medical image. In one aspect a method for automated decision support for medical imaging includes obtaining image data, extracting feature data from the image data, and automatically performing anatomy identification, view identification and/or determining a diagnostic quality of the image data, using the extracted feature data.

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