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    • 1. 发明授权
    • Automated determination of lymph nodes in scanned images
    • 自动确定扫描图像中的淋巴结
    • US08355552B2
    • 2013-01-15
    • US12142766
    • 2008-06-19
    • Lawrence H. SchwartzBinsheng ZhaoJiayong Yan
    • Lawrence H. SchwartzBinsheng ZhaoJiayong Yan
    • G06K9/00
    • G06K9/34A61B6/03G06K2209/053G06T7/0012G06T2207/30096
    • Techniques include automatically detecting a lymph node in a scanned image of a body without human intervention, using one or more of three approaches. First, a subset of scanned images is determined, which belongs to one anatomical domain. A search region for lymph tissue is in a particular spatial relationship outside an anatomical object in the domain. Second, scanned images are segmented without human intervention to determine a boundary of a particular lymph node. The scanned images and outline data are received. Some of these embodiments automatically segment by determining an external marker, based on the outline data, and an internal marker, based on a geometric center of the outline data or thresholds determined automatically inside detected edges, or both, for a marker-controlled watershed algorithm. Third, based on lymph node data at a particular time, a second scanned image at a different time is segmented automatically, without human intervention.
    • 技术包括使用三种方法中的一种或多种来自动检测身体的扫描图像中的淋巴结而无需人为干预。 首先,确定扫描图像的子集,其属于一个解剖结构域。 淋巴组织的搜索区域在该域内的解剖对象之外处于特定的空间关系。 第二,扫描图像被分割而无需人为干预,以确定特定淋巴结的边界。 接收扫描图像和轮廓数据。 这些实施例中的一些通过基于轮廓数据确定外部标记物和内部标记物,基于轮廓数据的几何中心或自动检测的边缘内确定的阈值或两者来自动分段,用于标记控制的分水岭算法 。 第三,基于特定时间的淋巴结数据,不需要人为干预,自动分割不同时间的第二扫描图像。
    • 2. 发明申请
    • Automated Determination of Lymph Nodes in Scanned Images
    • 自动确定扫描图像中的淋巴结
    • US20080317314A1
    • 2008-12-25
    • US12142766
    • 2008-06-19
    • Lawrence H. SchwartzBinsheng ZhaoJiayong Yan
    • Lawrence H. SchwartzBinsheng ZhaoJiayong Yan
    • A61B5/00
    • G06K9/34A61B6/03G06K2209/053G06T7/0012G06T2207/30096
    • Techniques include automatically detecting a lymph node in a scanned image of a body without human intervention, using one or more of three approaches. First, a subset of scanned images is determined, which belongs to one anatomical domain. A search region for lymph tissue is in a particular spatial relationship outside an anatomical object in the domain. Second, scanned images are segmented without human intervention to determine a boundary of a particular lymph node. The scanned images and outline data are received. Some of these embodiments automatically segment by determining an external marker, based on the outline data, and an internal marker, based on a geometric center of the outline data or thresholds determined automatically inside detected edges, or both, for a marker-controlled watershed algorithm. Third, based on lymph node data at a particular time, a second scanned image at a different time is segmented automatically, without human intervention.
    • 技术包括使用三种方法中的一种或多种来自动检测身体的扫描图像中的淋巴结而无需人为干预。 首先,确定扫描图像的子集,其属于一个解剖结构域。 淋巴组织的搜索区域在该域内的解剖对象之外处于特定的空间关系。 第二,扫描图像被分割而无需人为干预,以确定特定淋巴结的边界。 接收扫描图像和轮廓数据。 这些实施例中的一些通过基于轮廓数据确定外部标记物和内部标记物,基于轮廓数据的几何中心或自动检测的边缘内确定的阈值或两者来自动分段,用于标记控制的分水岭算法 。 第三,基于特定时间的淋巴结数据,不需要人为干预,自动分割不同时间的第二扫描图像。
    • 7. 发明申请
    • METHOD FOR IDENTIFYING A TOOTH REGION
    • 识别牙齿区域的方法
    • US20110085713A1
    • 2011-04-14
    • US12578795
    • 2009-10-14
    • Jiayong YanWei WangLiangliang PanVictor C. Wong
    • Jiayong YanWei WangLiangliang PanVictor C. Wong
    • G06K9/00
    • G06T7/0081G06T7/11G06T7/136G06T7/174G06T2207/10064G06T2207/30036
    • A method for identifying tooth regions. The method includes generating a first threshold image from a first tooth image by selecting intensity data values higher than a first predetermined threshold value c1; generating a second threshold image from a second tooth image by selecting intensity data values higher than a second predetermined threshold value c2; generating a preliminary tooth regions image that defines at least a first tooth region from the intersection of the first and second threshold images; generating a reference binary image from the first image by selecting intensity data values higher than a third predetermined threshold value c3, wherein threshold value c3 exceeds c1; and generating a refined tooth regions image from at least the first tooth region in the preliminary tooth regions image. The first tooth region is connected to objects in the reference binary image.
    • 一种识别牙齿区域的方法。 该方法包括通过选择高于第一预定阈值c1的强度数据值从第一齿图像生成第一阈值图像; 通过选择高于第二预定阈值c2的强度数据值从第二齿图像生成第二阈值图像; 产生从所述第一和第二阈值图像的交点确定至少第一齿区域的预备齿区域图像; 通过选择高于第三预定阈值c3的强度数据值从第一图像生成参考二进制图像,其中阈值c3超过c1; 以及从所述预备齿区域图像中的至少所述第一齿区域生成精细的齿区域图像。 第一齿区域连接到参考二进制图像中的对象。
    • 10. 发明授权
    • Method for identifying a tooth region
    • 识别牙齿区域的方法
    • US08687859B2
    • 2014-04-01
    • US12578795
    • 2009-10-14
    • Jiayong YanWei WangLiangliang PanVictor C. Wong
    • Jiayong YanWei WangLiangliang PanVictor C. Wong
    • G06K9/00G06K9/34G06K9/20G06K9/36A61C1/00A62B1/04
    • G06T7/0081G06T7/11G06T7/136G06T7/174G06T2207/10064G06T2207/30036
    • A method for identifying tooth regions. The method includes generating a first threshold image from a first tooth image by selecting intensity data values higher than a first predetermined threshold value c1; generating a second threshold image from a second tooth image by selecting intensity data values higher than a second predetermined threshold value c2; generating a preliminary tooth regions image that defines at least a first tooth region from the intersection of the first and second threshold images; generating a reference binary image from the first image by selecting intensity data values higher than a third predetermined threshold value c3, wherein threshold value c3 exceeds c1; and generating a refined tooth regions image from at least the first tooth region in the preliminary tooth regions image. The first tooth region is connected to objects in the reference binary image.
    • 一种识别牙齿区域的方法。 该方法包括通过选择高于第一预定阈值c1的强度数据值从第一齿图像生成第一阈值图像; 通过选择高于第二预定阈值c2的强度数据值从第二齿图像生成第二阈值图像; 产生从所述第一和第二阈值图像的交点确定至少第一齿区域的预备齿区域图像; 通过选择高于第三预定阈值c3的强度数据值从第一图像生成参考二进制图像,其中阈值c3超过c1; 以及从所述预备齿区域图像中的至少所述第一齿区域生成精细的齿区域图像。 第一齿区域连接到参考二进制图像中的对象。