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    • 2. 发明授权
    • Marker detection in X-ray images
    • X射线图像中的标记检测
    • US08411927B2
    • 2013-04-02
    • US12898018
    • 2010-10-05
    • Ti-chiun ChangYunqiang ChenMichelle xiaohong YanTong Fang
    • Ti-chiun ChangYunqiang ChenMichelle xiaohong YanTong Fang
    • G06K9/00
    • G06K9/00G06K2209/057G06T7/73G06T2207/10016G06T2207/10121G06T2207/30004G06T2207/30204
    • A method for detecting markers within X-ray images includes applying directional filters to a sequence of X-ray image frames. Marker candidate pixels are determined based on the output of the directional filters. Candidate pixels are grouped into clusters and distances between each possible pair of clusters is determined and the most frequently occurring distance is considered an estimated distance between markers. A first marker is detected at the cluster that most closely resembles a marker based on certain criteria and a second marker is then detected at a cluster that is the estimated distance from the first marker. The pair of first and second marker detections is scored to determine detection quality. If the detected marker pair has an acceptable score then the detected marker pair is used.
    • 用于检测X射线图像内的标记的方法包括对X射线图像帧序列应用方向滤波器。 基于方向滤波器的输出来确定标记候选像素。 候选像素被分组成簇,并且确定每个可能的一对簇之间的距离,并且将最常发生的距离视为标记之间的估计距离。 基于某些标准,在最接近类似于标记的群集处检测到第一标记,然后在作为距离第一标记的估计距离的群集处检测到第二标记。 对一对第一和第二标记检测进行评分以确定检测质量。 如果检测到的标记对具有可接受的分数,则使用检测到的标记对。
    • 5. 发明授权
    • Automatic detection of contrast injection
    • 自动检测造影剂注射
    • US08655041B2
    • 2014-02-18
    • US13211716
    • 2011-08-17
    • Matthias JohnRui LiaoMichelle xiaohong YanWei You
    • Matthias JohnRui LiaoMichelle xiaohong YanWei You
    • G06K9/00
    • G06T7/0014A61B6/481A61B6/487A61B6/504G06T2207/10121G06T2207/30048G06T2207/30101
    • A method for automatically detecting the presence of contrast in an x-ray image includes acquiring an x-ray image prior to administration of contrast. A background image is estimated based on the x-ray image. The contrast is administered. A set of x-ray images is acquired. The background image is subtracted from the set of images. Image intensity is determined for each of the subtracted images. The subtracted images having highest image intensity are selected. A predefined shape model is fitted to the selected subtracted images. The fitting of the predefined shape model is used to fit the shape model to each of the subtracted images. A feature value is calculated for each image frame based on pixel intensities of each pixel fitted to the shape model for the corresponding subtracted image. An image frame of peak contrast is determined by selecting the image frame with the greatest feature value.
    • 用于自动检测x射线图像中的对比度的存在的方法包括在施加对比度之前获取X射线图像。 基于x射线图像估计背景图像。 对比度被管理。 获取一组X射线图像。 从图像集中减去背景图像。 确定每个减影图像的图像强度。 选择具有最高图像强度的减影图像。 预定义的形状模型适合于所选择的减影图像。 使用预定义形状模型的拟合来将形状模型拟合到每个相减图像。 基于适合于相应减法图像的形状模型的每个像素的像素强度,针对每个图像帧计算特征值。 通过选择具有最大特征值的图像帧来确定峰值对比度的图像帧。