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    Method and System for Detecting 3D Anatomical Structures Using Constrained Marginal Space Learning
    83.
    发明申请
    Method and System for Detecting 3D Anatomical Structures Using Constrained Marginal Space Learning 有权
    使用约束边际空间学习检测3D解剖结构的方法和系统

    公开(公告)号：US20090304251A1

    公开(公告)日：2009-12-10

    申请号：US12471761

    申请日：2009-05-26

    申请人： Yefeng Zheng ,  Bogdan Georgescu ,  Haibin Ling ,  Michael Scheuering ,  Dorin Comaniciu

    发明人： Yefeng Zheng ,  Bogdan Georgescu ,  Haibin Ling ,  Michael Scheuering ,  Dorin Comaniciu

    IPC分类号： G06K9/00

    CPC分类号： G06K9/3233 ,  G06K2209/051 ,  G06T7/75 ,  G06T2207/10081 ,  G06T2207/30004

    摘要： A method and apparatus for detecting 3D anatomical objects in medical images using constrained marginal space learning (MSL) is disclosed. A constrained search range is determined for an input medical image volume based on training data. A first trained classifier is used to detect position candidates in the constrained search range. Position-orientation hypotheses are generated from the position candidates using orientation examples in the training data. A second trained classifier is used to detect position-orientation candidates from the position-orientation hypotheses. Similarity transformation hypotheses are generated from the position-orientation candidates based on scale examples in the training data. A third trained classifier is used to detect similarity transformation candidates from the similarity transformation hypotheses, and the similarity transformation candidates define the position, translation, and scale of the 3D anatomic object in the medical image volume.

    摘要翻译： 公开了一种使用受限边际空间学习（MSL）检测医学图像中3D解剖学对象的方法和装置。 基于训练数据确定输入医学图像体积的约束搜索范围。 第一训练分类器用于检测约束搜索范围内的位置候选。 使用训练数据中的取向示例从位置候选者生成位置取向假设。 第二训练分类器用于从位置定向假设检测位置方向候选。 基于训练数据中的比例示例，从位置定位候选生成相似度转换假设。 第三训练分类器用于从相似变换假设检测相似变换候选，并且相似变换候选定义医学图像体积中的3D解剖对象的位置，平移和比例。

    Method and system for dynamic pulmonary trunk modeling in computed tomography and magnetic resonance imaging
    86.
    发明申请
    Method and system for dynamic pulmonary trunk modeling in computed tomography and magnetic resonance imaging 有权
    计算机断层扫描和磁共振成像中动态肺动脉造影的方法和系统

    公开(公告)号：US20090154785A1

    公开(公告)日：2009-06-18

    申请号：US12315343

    申请日：2008-12-01

    申请人： Michael Lynch ,  Razvan Ionasec ,  Bogdan Georgescu ,  Dorin Comaniciu ,  Dime Vitanovski

    发明人： Michael Lynch ,  Razvan Ionasec ,  Bogdan Georgescu ,  Dorin Comaniciu ,  Dime Vitanovski

    IPC分类号： G06T7/00

    CPC分类号： G06T7/38 ,  G06T7/33 ,  G06T2207/10076 ,  G06T2207/10081 ,  G06T2207/10088 ,  G06T2207/30048

    摘要： A method and system for modeling the pulmonary trunk in 4D image data, such as 4D CT and MRI data, is disclosed. Bounding boxes are detected in frames of the 4D image data. Anatomic landmarks are detected in the frames of the 4D image data based on the bounding boxes. Ribs or centerlines of the pulmonary artery are detected in the frames of the 4D image data based on the anatomic landmarks, and a physiological pulmonary trunk model is fit the frames of the 4D image data based on the detected ribs and anatomic landmarks. The boundary of the pulmonary trunk is detected in order to refine the boundary of the pulmonary trunk model in the frames of the 4D image data, resulting in a dynamic model of the pulmonary trunk. The pulmonary trunk can be quantitatively evaluated using the dynamic model.

    摘要翻译： 公开了4D图像数据（如4D CT和MRI数据）对肺动脉干线进行建模的方法和系统。 在4D图像数据的帧中检测边界框。 基于边界框在4D图像数据的帧中检测解剖标志。 基于解剖标志，在4D图像数据的帧中检测肺动脉的肋或中心线，并且基于检测到的肋和解剖标志，生理性肺动脉干模型适合4D图像数据的帧。 检测肺动脉干的边界，以便在4D图像数据的帧中改善肺动脉干模型的边界，得到肺动脉的动态模型。 可以使用动态模型定量评估肺动脉干。

    Method and system for detection of contrast injection in fluoroscopic image sequences
    87.
    发明申请
    Method and system for detection of contrast injection in fluoroscopic image sequences 有权
    荧光图像序列中对比度注入检测方法和系统

    公开(公告)号：US20090090873A1

    公开(公告)日：2009-04-09

    申请号：US12231770

    申请日：2008-09-05

    申请人： Benjamin J. Sapp ,  Wei Zhang ,  Bogdan Georgescu ,  Simone Prummer ,  Dorin Comaniciu

    发明人： Benjamin J. Sapp ,  Wei Zhang ,  Bogdan Georgescu ,  Simone Prummer ,  Dorin Comaniciu

    IPC分类号： F21V9/16 ,  A61B6/00 ,  G06K9/00 ,  G01N33/48 ,  G01D18/00

    CPC分类号： G06K9/00 ,  G06K2209/05 ,  G06T7/0012

    摘要： A method and system for detecting a spatial and temporal location of a contrast injection in a fluoroscopic image sequence is disclosed. Training volumes generated by stacking a sequence of 2D fluoroscopic images in time order are annotated with ground truth contrast injection points. A heart rate is globally estimated for each training volume, and local frequency and phase is estimated in a neighborhood of the ground truth contrast injection point for each training volume. Frequency and phase invariant features are extracted from each training volume based on the heart rate, local frequency and phase, and a detector is trained based on the training volumes and the features extracted for each training volume. The detector can be used to detect the spatial and temporal location of a contrast injection in a fluoroscopic image sequence.

    摘要翻译： 公开了一种用于检测透视图像序列中的对比度注入的空间和时间位置的方法和系统。 通过以时间顺序堆叠一系列2D透视图像而产生的训练体积用地面真实对比度注入点注释。 对于每个训练体积，全局估计心率，并且在每个训练体积的地面真实对比度注入点的邻域中估计局部频率和相位。 基于心率，局部频率和相位从每个训练体积中提取频率和相位不变特征，并且基于训练量和针对每个训练体积提取的特征来训练检测器。 检测器可用于检测透视图像序列中对比度注入的空间和时间位置。

    Component-Based Approach For Fast Left Ventricle Detection
    89.
    发明申请
    Component-Based Approach For Fast Left Ventricle Detection 审中-公开
    基于组件的快速左心室检测方法

    公开(公告)号：US20080086053A1

    公开(公告)日：2008-04-10

    申请号：US11866712

    申请日：2007-10-03

    申请人： Shaohua Zhou ,  Jingdan Zhang ,  Bogdan Georgescu ,  Dorin Comaniciu

    发明人： Shaohua Zhou ,  Jingdan Zhang ,  Bogdan Georgescu ,  Dorin Comaniciu

    IPC分类号： A61B8/00

    CPC分类号： A61B8/08 ,  A61B6/503

    摘要： A method for estimating a configuration of an internal structure within a medical image includes detecting a location of the internal structure. Component-based identification is performed within the detected location of the internal structure to identify a plurality of components. The configuration of the internal structure is estimated based on the relative position of the identified components.

    摘要翻译： 用于估计医学图像内部结构的配置的方法包括检测内部结构的位置。 在检测到的内部结构的位置内执行基于组件的识别以识别多个组件。 基于所识别的组件的相对位置来估计内部结构的配置。

    SYSTEM AND METHOD FOR SEMANTIC INDEXING AND NAVIGATION OF VOLUMETRIC IMAGES
    90.
    发明申请
    SYSTEM AND METHOD FOR SEMANTIC INDEXING AND NAVIGATION OF VOLUMETRIC IMAGES 有权
    体积图像的语义索引和导航的系统和方法

    公开(公告)号：US20070127798A1

    公开(公告)日：2007-06-07

    申请号：US11532556

    申请日：2006-09-18

    申请人： Amit Chakraborty ,  Bogdan Georgescu ,  Nemanja Petrovic ,  Paolo Favaro ,  Dorin Comaniciu

    发明人： Amit Chakraborty ,  Bogdan Georgescu ,  Nemanja Petrovic ,  Paolo Favaro ,  Dorin Comaniciu

    IPC分类号： G06K9/00

    CPC分类号： G06F17/30265 ,  G06F17/30014 ,  G06F19/00 ,  G06F19/321

    摘要： A method for navigating digital medical images includes providing a digitized patient medical image of a structure of interest in a patient, using a pre-trained classifier to segment the structure of interest from the image, creating links from the structure of interest to a corresponding structure in an anatomical atlas, receiving a query to view the structure of interest, parsing the query to identify one or more keywords from noun phrases in the query, mapping a keyword to a corresponding structure in the anatomical atlas, wherein the anatomical atlas structure is associated with a link to the corresponding structure in the patient image, and following the link to display said patient structure of interest.

    摘要翻译： 用于导航数字医学图像的方法包括使用预训练的分类器从图像中分割感兴趣的结构，从感兴趣的结构到相应的结构建立链接来提供患者的感兴趣的结构的数字化的患者医学图像 在解剖图谱中，接收查询以查看感兴趣的结构，解析查询以从查询中的名词短语识别一个或多个关键词，将关键字映射到解剖图谱中的对应结构，其中解剖图谱结构相关联 具有到患者图像中的对应结构的链接，并且跟随链接以显示感兴趣的所述患者结构。