Detecting meniscal tears in non-invasive scans
    1.
    发明授权
    Detecting meniscal tears in non-invasive scans 有权
    在非侵入性扫描中检测半月板撕裂

    公开(公告)号:US08180126B2

    公开(公告)日:2012-05-15

    申请号:US12190584

    申请日:2008-08-12

    IPC分类号: G06K9/00

    摘要: Techniques for automatically detecting meniscus include receiving pixels from a scanning device directed to a knee of a subject. Also received is a region of interest that includes pixels that correspond to at least a portion of a meniscus of the knee. Without human intervention, a meniscus extraction threshold is determined based on pixel intensities in the region of interest. A meniscus object portion of the scan data is further determined without human intervention based on the meniscus extraction threshold and a geometrical constraint. Other techniques for automatically detecting meniscal tears includes receiving a meniscus object portion of scan data from a scanning device and receiving threshold data that indicates a meniscus extraction threshold. Without human intervention, a propensity for meniscal tears is determined based on the threshold data and the meniscus object portion of the scan data.

    摘要翻译: 用于自动检测弯液面的技术包括从指向对象的膝盖的扫描装置接收像素。 还接收的是包括对应于膝盖的弯液面的至少一部分的像素的感兴趣区域。 在没有人为干预的情况下,基于感兴趣区域中的像素强度来确定弯液面提取阈值。 基于弯月面提取阈值和几何约束,进一步确定扫描数据的弯液面物体部分,而无需人为干预。 用于自动检测半月板眼泪的其它技术包括从扫描装置接收扫描数据的弯月面物体部分,以及接收指示弯月面提取阈值的阈值数据。 在没有人为干预的情况下,根据扫描数据的阈值数据和弯月面对象部分来确定半月板撕裂的倾向。

    Detecting Meniscal Tears in Non-Invasive Scans
    2.
    发明申请
    Detecting Meniscal Tears in Non-Invasive Scans 有权
    检测非侵入性扫描中的半月眼泪

    公开(公告)号:US20090046908A1

    公开(公告)日:2009-02-19

    申请号:US12190584

    申请日:2008-08-12

    IPC分类号: A61B5/00

    摘要: Techniques for automatically detecting meniscus include receiving pixels from a scanning device directed to a knee of a subject. Also received is a region of interest that includes pixels that correspond to at least a portion of a meniscus of the knee. Without human intervention, a meniscus extraction threshold is determined based on pixel intensities in the region of interest. A meniscus object portion of the scan data is further determined without human intervention based on the meniscus extraction threshold and a geometrical constraint.Other techniques for automatically detecting meniscal tears includes receiving a meniscus object portion of scan data from a scanning device and receiving threshold data that indicates a meniscus extraction threshold. Without human intervention, a propensity for meniscal tears is determined based on the threshold data and the meniscus object portion of the scan data.

    摘要翻译: 用于自动检测弯液面的技术包括从指向对象的膝盖的扫描装置接收像素。 还接收的是包括对应于膝盖的弯液面的至少一部分的像素的感兴趣区域。 在没有人为干预的情况下,基于感兴趣区域中的像素强度来确定弯液面提取阈值。 基于弯月面提取阈值和几何约束,进一步确定扫描数据的弯液面物体部分,而无需人为干预。 用于自动检测半月板眼泪的其它技术包括从扫描装置接收扫描数据的弯月面物体部分,以及接收指示弯月面提取阈值的阈值数据。 在没有人为干预的情况下,根据扫描数据的阈值数据和弯月面对象部分来确定半月板撕裂的倾向。