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    ECHOCARDIOGRAM VIEW CLASSIFICATION USING EDGE FILTERED SCALE-INVARIANT MOTION FEATURES
    6.
    发明申请
    ECHOCARDIOGRAM VIEW CLASSIFICATION USING EDGE FILTERED SCALE-INVARIANT MOTION FEATURES 有权
    ECHOCARDIOGRAM查看分类使用边缘过滤规模不变运动特征

    公开(公告)号：US20120288171A1

    公开(公告)日：2012-11-15

    申请号：US13560496

    申请日：2012-07-27

    申请人： David James Beymer ,  Ritwik Kailash Kumar ,  Tanveer Fathima Syeda-Mahmood ,  Fei Wang

    发明人： David James Beymer ,  Ritwik Kailash Kumar ,  Tanveer Fathima Syeda-Mahmood ,  Fei Wang

    IPC分类号： G06K9/32

    CPC分类号： G06T7/0012 ,  G06T3/4053 ,  G06T7/44 ,  G06T2207/10016 ,  G06T2207/10132 ,  G06T2207/20081 ,  G06T2207/30048

    摘要： According to one embodiment of the present invention, a method for echocardiogram view classification is provided. According to one embodiment of the present invention, a method comprises: obtaining a plurality of video images of a subject; aligning the plurality images; using the aligned images to generate a motion magnitude image; filtering the motion magnitude image using an edge map on image intensity; detecting features on the motion magnitude image, retaining only those features which lie in the neighborhood of intensity edges; encoding the remaining features by generating, x, y image coordinates, a motion magnitude histogram in a window around the feature point, and a histogram of intensity values near the feature point; and using the encoded features to classify the video images of the subject into a predetermined classification.

    摘要翻译： 根据本发明的一个实施例，提供了一种用于超声心动图视图分类的方法。 根据本发明的一个实施例，一种方法包括：获得被摄体的多个视频图像; 对准多个图像; 使用对准的图像来生成运动幅度图像; 使用边缘图对图像强度进行滤波运动幅度图像; 检测运动幅度图像上的特征，仅保留位于强度边缘附近的那些特征; 通过生成x，y图像坐标，围绕特征点的窗口中的运动幅度直方图和特征点附近的强度值的直方图对剩余特征进行编码; 以及使用编码的特征将被摄体的视频图像分类成预定的分类。

    ECHOCARDIOGRAM VIEW CLASSIFICATION USING EDGE FILTERED SCALE-INVARIANT MOTION FEATURES
    7.
    发明申请
    ECHOCARDIOGRAM VIEW CLASSIFICATION USING EDGE FILTERED SCALE-INVARIANT MOTION FEATURES 有权
    ECHOCARDIOGRAM查看分类使用边缘过滤规模不变运动特征

    公开(公告)号：US20110310964A1

    公开(公告)日：2011-12-22

    申请号：US12819183

    申请日：2010-06-19

    申请人： David James Beymer ,  Ritwik Kailash Kumar ,  Tanveer Fathima Syeda-Mahmood ,  Fei Wang

    发明人： David James Beymer ,  Ritwik Kailash Kumar ,  Tanveer Fathima Syeda-Mahmood ,  Fei Wang

    IPC分类号： H04N7/26

    CPC分类号： G06T7/0012 ,  G06T3/4053 ,  G06T7/44 ,  G06T2207/10016 ,  G06T2207/10132 ,  G06T2207/20081 ,  G06T2207/30048

    摘要： According to one embodiment of the present invention, a method for echocardiogram view classification is provided. According to one embodiment of the present invention, a method comprises: obtaining a plurality of video images of a subject; aligning the plurality images; using the aligned images to generate a motion magnitude image; filtering the motion magnitude image using an edge map on image intensity; detecting features on the motion magnitude image, retaining only those features which lie in the neighborhood of intensity edges; encoding the remaining features by generating, x, y image coordinates, a motion magnitude histogram in a window around the feature point, and a histogram of intensity values near the feature point; and using the encoded features to classify the video images of the subject into a predetermined classification.

    摘要翻译： 根据本发明的一个实施例，提供了一种用于超声心动图视图分类的方法。 根据本发明的一个实施例，一种方法包括：获得被摄体的多个视频图像; 对准多个图像; 使用对准的图像来生成运动幅度图像; 使用边缘图对图像强度进行滤波运动幅度图像; 检测运动幅度图像上的特征，仅保留位于强度边缘附近的那些特征; 通过生成x，y图像坐标，围绕特征点的窗口中的运动幅度直方图和特征点附近的强度值的直方图对剩余特征进行编码; 以及使用编码的特征将被摄体的视频图像分类成预定的分类。

    SHAPE BASED SIMILARITY OF CONTINUOUS WAVE DOPPLER IMAGES
    8.
    发明申请
    SHAPE BASED SIMILARITY OF CONTINUOUS WAVE DOPPLER IMAGES 有权
    基于形状的连续波多普勒图像的相似性

    公开(公告)号：US20120250957A1

    公开(公告)日：2012-10-04

    申请号：US13076981

    申请日：2011-03-31

    申请人： Tanveer Fathima Syeda-Mahmood ,  David James Beymer

    发明人： Tanveer Fathima Syeda-Mahmood ,  David James Beymer

    IPC分类号： G06K9/00

    CPC分类号： G06T7/0016 ,  A61B8/0883 ,  A61B8/488 ,  A61B8/5223 ,  G06K2209/05 ,  G06T2207/10132 ,  G06T2207/30048

    摘要： Continuous wave Doppler images in a data base comprising cardiac echo studies are processed to separate Doppler frames. The frames are pre-processed to extract envelope curves and their corner shape features. Shape patterns in Doppler images from echo studies of patients with known cardiac (valvular) diseases are employed to infer the similarity in valvular disease labels for purposes of automated clinical decision support. Specifically, similarity in appearance of Doppler images from the same disease class is modeled as a constrained non-rigid translation transform of velocity envelopes embedded in these images. Shape similarity between two Doppler images is then judged by recovering the alignment transform using a variant of dynamic shape warping. Since different diseases appear as characteristic shape patterns in Doppler images, measuring the similarity in the shape pattern conveyed within the velocity region of two Doppler images can infer the similarity in their diagnosis labels.

    摘要翻译： 在包括心脏回声研究的数据库中的连续波多普勒图像被处理以分离多普勒帧。 这些框架被预先处理以提取包络曲线及其拐角形状特征。 为了自动临床决策支持的目的，采用已知心脏（瓣膜）疾病患者的回波研究的多普勒图像中的形状模式来推断瓣膜疾病标签的相似性。 具体来说，来自相同疾病类别的多普勒图像的外观相似性被建模为嵌入在这些图像中的速度包络的约束非刚性平移变换。 然后通过使用动态形状翘曲的变体恢复对准变换来判断两个多普勒图像之间的形状相似性。 由于不同的疾病在多普勒图像中呈现为特征形状图案，所以测量两个多普勒图像的速度区域内传达的形状图案的相似性可以推断出其诊断标签中的相似性。

    Method and apparatus for matching slides in video
    9.
    发明授权
    Method and apparatus for matching slides in video 失效
    用于在视频中匹配幻灯片的方法和装置

    公开(公告)号：US06701014B1

    公开(公告)日：2004-03-02

    申请号：US09593205

    申请日：2000-06-14

    申请人： Tanveer Fathima Syeda-Mahmood

    发明人： Tanveer Fathima Syeda-Mahmood

    IPC分类号： G06K948

    CPC分类号： G06K9/6211 ,  G06F17/30256 ,  Y10S707/99936

    摘要： The present invention performs a method for matching slides to video comprising, generating keyframes from the video, extracting geometric keyframe features from the keyframes and geometric slide features from the slides, and matching the geometric slide features and the geometric keyframe features.

    摘要翻译： 本发明执行用于将幻灯片与视频相匹配的方法，包括：从视频生成关键帧，从关键帧提取几何关键帧特征以及来自幻灯片的几何幻灯片特征，以及匹配几何幻灯片特征和几何关键帧特征。

    Method and apparatus for locating multi-region objects in an image or video database
    10.
    发明授权
    Method and apparatus for locating multi-region objects in an image or video database 有权
    用于在图像或视频数据库中定位多区域对象的方法和装置

    公开(公告)号：US06691126B1

    公开(公告)日：2004-02-10

    申请号：US09593465

    申请日：2000-06-14

    申请人： Tanveer Fathima Syeda-Mahmood

    发明人： Tanveer Fathima Syeda-Mahmood

    IPC分类号： G06F1730

    CPC分类号： G06F17/30247 ,  Y10S707/914 ,  Y10S707/915 ,  Y10S707/955 ,  Y10S707/957 ,  Y10S707/99943

    摘要： A method (and system) for specifying the region layout of objects in an affine invariant manner as a set of affine intervals between pairs of regions, includes representing database and query regions using affine intervals along with their region identity, matching query region layout to layout of database image regions using an index structure, and retrieving relevant images of the database by hashing for dominant hit regions in the index structure.

    摘要翻译： 一种用于以仿射不变方式将对象的区域布局指定为区域对之间的仿射间隔的集合的方法（和系统）包括使用仿射间隔连同其区域标识表示数据库和查询区域，将查询区域布局与布局相匹配 使用索引结构的数据库图像区域，以及通过对索引结构中的主要命中区域进行散列来检索数据库的相关图像。