Systems for correcting distortions in a medical image and methods of use thereof
    13.
    发明授权
    Systems for correcting distortions in a medical image and methods of use thereof 有权
    用于校正医学图像中的扭曲的系统及其使用方法

    公开(公告)号:US09286673B2

    公开(公告)日:2016-03-15

    申请号:US14044990

    申请日:2013-10-03

    Abstract: The invention relates generally systems for correcting distortion in a medical image and methods of use thereof. Methods and systems for displaying a medical image of a lumen of a biological structure, generally comprise obtaining image data of a lumen of a biological structure from an imaging device, correcting the image data for translational distortions, in which correcting is accomplished without reference to another data set, and displaying a corrected image.

    Abstract translation: 本发明一般涉及用于校正医学图像中的变形的系统及其使用方法。 用于显示生物结构的管腔的医学图像的方法和系统通常包括从成像装置获得生物结构的管腔的图像数据,校正用于平移失真的图像数据,其中完成校正而不参考另一个 数据集,并显示校正后的图像。

    GUIDEWIRE ARTIFACT REMOVAL IN IMAGES
    14.
    发明申请

    公开(公告)号:US20140100439A1

    公开(公告)日:2014-04-10

    申请号:US14044968

    申请日:2013-10-03

    Abstract: This invention relates generally to methods and systems for removing an artifact within an image. Typically, the artifact is a guidewire artifact. In one aspect, at least two images of an imaging surface are acquired. Each acquired image comprises a set of data. A guidewire artifact is detected in one of the at least two images. The guidewire artifact is replaced with data representing the imaging surface obtained from another one of the at least two images. In certain embodiments, the at least two images are of the same imaging surface having a guidewire or object causing the artifact moved to a different position.

    Abstract translation: 本发明一般涉及用于去除图像内的伪影的方法和系统。 通常,工件是导丝工件。 在一个方面,获取成像表面的至少两个图像。 每个获取的图像包括一组数据。 在所述至少两个图像中的一个图像中检测到导丝伪影。 导丝伪影由代表从至少两个图像中的另一个图像获得的成像表面的数据代替。 在某些实施例中,所述至少两个图像具有相同的成像表面,所述成像表面具有导致所述假象移动到不同位置的导丝或物体。

    AUTOMATIC STENT DETECTION
    19.
    发明申请
    AUTOMATIC STENT DETECTION 审中-公开
    自动检测

    公开(公告)号:US20140100449A1

    公开(公告)日:2014-04-10

    申请号:US14044441

    申请日:2013-10-02

    Abstract: This invention relates generally to the detection of objects, such as stents, within intraluminal images using principal component analysis and/or regional covariance descriptors. In certain aspects, a training set of pre-defined intraluminal images known to contain an object is generated. The principal components of the training set can be calculated in order to form an object space. An unknown input intraluminal image can be obtained and projected onto the object space. From the projection, the object can be detected within the input intraluminal image. In another embodiment, a covariance matrix is formed for each pre-defined intraluminal image known to contain an object. An unknown input intraluminal image is obtained and a covariance matrix is computed for the input intraluminal image. The covariances of the input image and each image of the training set are compared in order to detect the presence of the object within the input intraluminal image.

    Abstract translation: 本发明一般涉及使用主成分分析和/或区域协方差描述符检测在腔内图像内的物体,例如支架。 在某些方面,生成已知包含对象的预定义的管腔内图像的训练集。 可以计算训练集的主要组成部分以形成对象空间。 可以获得未知的输入管腔内图像并将其投影到对象空间上。 从投影中可以在输入的管腔内图像中检测物体。 在另一个实施例中,为已知含有对象的每个预定义的管腔内图像形成协方差矩阵。 获得未知的输入管腔内图像,并为输入的管腔内图像计算协方差矩阵。 比较输入图像和训练集合的每个图像的协方差,以便检测输入管腔内图像中物体的存在。

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