Methods and systems for automated detection and analysis of lesion on magnetic resonance images
    1.
    发明授权
    Methods and systems for automated detection and analysis of lesion on magnetic resonance images 失效
    用于自动检测和分析磁共振图像损伤的方法和系统

    公开(公告)号:US07756317B2

    公开(公告)日:2010-07-13

    申请号:US11412286

    申请日:2006-04-27

    IPC分类号: G06K9/00 A61B5/00

    摘要: A method for detecting and analyzing candidate lesions in a magnetic resonance image of a breast. The method includes the steps of: accessing a plurality of temporal magnetic resonance images of the breast; identifying candidate lesions by performing a temporal pattern analysis of the plurality of images to produce temporal features based on an uptake phase and a washout phase; performing a morphological operation on the candidate lesions to produce morphological features; and classifying the candidate lesions using the morphological features and temporal features to produce classified candidate lesions.

    摘要翻译: 一种用于检测和分析乳房的磁共振图像中的候选病变的方法。 该方法包括以下步骤:访问乳房的多个时间磁共振图像; 通过执行所述多个图像的时间模式分析来识别候选病变,以基于摄取阶段和冲洗阶段产生时间特征; 对候选病变进行形态学运算以产生形态特征; 并使用形态特征和时间特征对候选病变进行分类以产生分类的候选病变。

    Methods and systems for automated detection and analysis of lesion on magnetic resonance images
    2.
    发明申请
    Methods and systems for automated detection and analysis of lesion on magnetic resonance images 失效
    用于自动检测和分析磁共振图像损伤的方法和系统

    公开(公告)号:US20060245629A1

    公开(公告)日:2006-11-02

    申请号:US11412286

    申请日:2006-04-27

    IPC分类号: G06K9/00

    摘要: A method for detecting and analyzing candidate lesions in a magnetic resonance image of a breast. The method includes the steps of: accessing a plurality of temporal magnetic resonance images of the breast; identifying candidate lesions by performing a temporal pattern analysis of the plurality of images to produce temporal features based on an uptake phase and a washout phase; performing a morphological operation on the candidate lesions to produce morphological features; and classifying the candidate lesions using the morphological features and temporal features to produce classified candidate lesions.

    摘要翻译: 一种用于检测和分析乳房的磁共振图像中的候选病变的方法。 该方法包括以下步骤:访问乳房的多个时间磁共振图像; 通过执行所述多个图像的时间模式分析来识别候选病变,以基于摄取阶段和冲洗阶段产生时间特征; 对候选病变进行形态学运算以产生形态特征; 并使用形态特征和时间特征对候选病变进行分类以产生分类的候选病变。

    Segmentation of lesions in ultrasound images
    3.
    发明授权
    Segmentation of lesions in ultrasound images 有权
    超声图像中病变的分割

    公开(公告)号:US08517945B2

    公开(公告)日:2013-08-27

    申请号:US11414759

    申请日:2006-04-28

    申请人: Zhimin Huo Xu Liu

    发明人: Zhimin Huo Xu Liu

    IPC分类号: A61B8/00

    摘要: A method for determining a candidate lesion region in a digital ultrasound medical image of anatomical tissue. The method includes the steps of: accessing the digital ultrasound medical image of anatomical tissue; applying an anisotropic diffusion filter to the ultrasound image to generate a filtered ultrasound image; performing a normalized cut operation on the filtered ultrasound image to partition the filtered ultrasound image into a plurality of regions; and selecting, from the plurality of regions, at least one region as a candidate lesion region.

    摘要翻译: 一种用于确定解剖组织的数字超声医学图像中的候选病变区域的方法。 该方法包括以下步骤:访问解剖组织的数字超声医学图像; 向所述超声图像施加各向异性扩散滤波器以产生滤波的超声图像; 对所述滤波后的超声波图像执行归一化切割操作,以将所述滤波后的超声图像分割成多个区域; 以及从所述多个区域中选择至少一个区域作为候选病变区域。

    Segmentation of lesions in ultrasound images

    公开(公告)号:US20060247525A1

    公开(公告)日:2006-11-02

    申请号:US11414759

    申请日:2006-04-28

    申请人: Zhimin Huo Xu Liu

    发明人: Zhimin Huo Xu Liu

    IPC分类号: A61B8/00

    摘要: A method for determining a candidate lesion region in a digital ultrasound medical image of anatomical tissue. The method includes the steps of: accessing the digital ultrasound medical image of anatomical tissue; applying an anisotropic diffusion filter to the ultrasound image to generate a filtered ultrasound image; performing a normalized cut operation on the filtered ultrasound image to partition the filtered ultrasound image into a plurality of regions; and selecting, from the plurality of regions, at least one region as a candidate lesion region.

    Chest radiography image contrast and exposure dose optimization
    5.
    发明授权
    Chest radiography image contrast and exposure dose optimization 有权
    胸部造影图像对比度和曝光剂量优化

    公开(公告)号:US09101325B2

    公开(公告)日:2015-08-11

    申请号:US13607669

    申请日:2012-09-08

    IPC分类号: G06K9/00 A61B6/00

    摘要: A method for obtaining a digital chest x-ray image of a patient. The method includes providing a default set of technique settings for the chest x-ray, wherein the default set is selectable by an operator command and includes using a peak kilovoltage exposure setting that is below 90 kVp with beam filtration of the x-ray, and applying a rib contrast suppression algorithm to the digital chest x-ray image data acquired from the exposure.

    摘要翻译: 一种用于获得患者的数字胸部X线图像的方法。 该方法包括提供用于胸部X射线的默认技术设置集合,其中,默认设置可由操作员命令选择,并且包括使用低于90kVp的峰值千伏暴露设置,以及x射线的束过滤,以及 对从曝光获取的数字胸部X射线图像数据应用肋对比度抑制算法。

    COMPUTER-AIDED TUBING DETECTION
    6.
    发明申请
    COMPUTER-AIDED TUBING DETECTION 有权
    计算机辅助管道检测

    公开(公告)号:US20120057772A1

    公开(公告)日:2012-03-08

    申请号:US13296296

    申请日:2011-11-15

    申请人: Zhimin Huo

    发明人: Zhimin Huo

    IPC分类号: G06K9/34

    摘要: A method for detecting tubing in a radiographic image of a patient, executed at least in part by a control logic processor, obtains a radiographic image data for a patient and detects one or more possible tube segments in the image. At least one tubing candidate is formed by growing at least one detected tube segment or merging two or more detected tube segments.

    摘要翻译: 用于检测至少部分由控制逻辑处理器执行的患者的放射照相图像中的管道的方法获得患者的放射照相图像数据,并检测图像中的一个或多个可能的管段。 通过生长至少一个检测到的管段或合并两个或更多个检测到的管段来形成至少一个管道候选物。

    Method for supporting diagnostic workflow from a medical imaging apparatus
    7.
    发明授权
    Method for supporting diagnostic workflow from a medical imaging apparatus 失效
    用于从医学成像装置支持诊断工作流程的方法

    公开(公告)号:US07945083B2

    公开(公告)日:2011-05-17

    申请号:US11440929

    申请日:2006-05-25

    IPC分类号: G06K9/00 A61B5/05

    摘要: A method for supporting diagnostic workflow from a medical imaging apparatus. A set of at least two images are obtained from a patient and displayed according to a user-specified image display layout selected from a plurality of image display layouts. One or more markers are associated with a region of interest in the displayed images. A list of regions of interest is generated, each having an entry for each associated marker. A classification is assigned to each entry in the list of regions of interest according to health risk.

    摘要翻译: 一种用于从医学成像装置支持诊断工作流程的方法。 从患者获得至少两个图像的集合,并且根据从多个图像显示布局中选择的用户指定的图像显示布局显示。 一个或多个标记与所显示图像中的感兴趣区域相关联。 生成感兴趣区域的列表,每个区域具有每个关联标记的条目。 根据健康风险,将分类分配给感兴趣区域列表中的每个条目。

    Detecting and classifying lesions in ultrasound images
    8.
    发明授权
    Detecting and classifying lesions in ultrasound images 有权
    超声图像检测和分类病变

    公开(公告)号:US07736313B2

    公开(公告)日:2010-06-15

    申请号:US10994794

    申请日:2004-11-22

    IPC分类号: A61B8/00

    摘要: A method for determining a candidate lesion region within an ultrasound image. The method includes the steps of: accessing a digital ultrasound image of anatomical tissue; segmenting spatially contiguous pixels in the ultrasound image into a plurality of regions in accordance with substantially similar intensity values and spatial smoothness constraints; and selecting, from the plurality of regions, one or more candidate lesion regions having an intensity value lower than a pre-determined intensity value. In one arrangement, the one or more candidate lesion region is classified into at least one of the following classes: benign, malignant, or unknown.

    摘要翻译: 一种用于确定超声图像内的候选病变区域的方法。 该方法包括以下步骤:访问解剖组织的数字超声图像; 根据基本相似的强度值和空间平滑度约束将超声图像中的空间连续像素分割成多个区域; 以及从所述多个区域中选择具有低于预定强度值的强度值的一个或多个候选病变区域。 在一种布置中,一个或多个候选病变区域被分类为以下类别中的至少一个:良性,恶性或未知的。

    METHOD FOR DETECTING ANATOMICAL STRUCTURES
    9.
    发明申请
    METHOD FOR DETECTING ANATOMICAL STRUCTURES 失效
    检测解剖结构的方法

    公开(公告)号:US20100040275A1

    公开(公告)日:2010-02-18

    申请号:US12190616

    申请日:2008-08-13

    IPC分类号: G06K9/00

    摘要: A method for estimating the location of an anatomical structure in a diagnostic image of a patient obtains the x-ray data in digital format and detects a first benchmark feature within the x-ray image. A second benchmark feature within the x-ray image is detected. An intersection is located between a first line that extends along the length of the first benchmark feature and a second line that extends from a central point related to the curvature of the second benchmark feature and that intersects with the first line at an angle that is within a predetermined range of angles. The location of the anatomical structure is identified relative to the intersection.

    摘要翻译: 用于估计患者的诊断图像中的解剖结构的位置的方法获得数字格式的X射线数据,并检测x射线图像内的第一基准特征。 检测X射线图像中的第二个基准特征。 交叉点位于沿着第一基准特征的长度延伸的第一线和从与第二基准特征的曲率相关的中心点延伸的第二线,并且以与第一基线特征内的角度相交的第一线 预定的角度范围。 解剖结构的位置相对于交叉点被识别。

    ENHANCEMENT OF REGION OF INTEREST OF RADIOLOGICAL IMAGE
    10.
    发明申请
    ENHANCEMENT OF REGION OF INTEREST OF RADIOLOGICAL IMAGE 有权
    放射学影像区域的增强

    公开(公告)号:US20090129657A1

    公开(公告)日:2009-05-21

    申请号:US12033031

    申请日:2008-02-19

    IPC分类号: G06K9/00

    摘要: A method for displaying a radiographic image identifies a region of interest in a portion of the radiographic image, suppresses background image content within the identified region of interest, and enhances contrast of the image within the region of interest to form an enhanced region of interest. The enhanced region of interest is displayed within the remaining portion of the radiographic image.

    摘要翻译: 用于显示放射线照相图像的方法识别放射线图像的一部分中的感兴趣区域,抑制所识别的感兴趣区域内的背景图像内容,并且增强感兴趣区域内的图像的对比度以形成增强的感兴趣区域。 感兴趣的增强区域显示在放射照相图像的剩余部分内。