会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 4. 发明授权
    • System and method for segmentation of MR flow data using fluid dynamics and tracking
    • 使用流体动力学和跟踪分割MR流量数据的系统和方法
    • US08532358B2
    • 2013-09-10
    • US12542014
    • 2009-08-17
    • Atilla Peter Kiraly
    • Atilla Peter Kiraly
    • G06K9/00
    • G06K9/342G06K2209/051G06T7/11G06T2207/10088G06T2207/20044G06T2207/30061G06T2207/30101
    • Methods for vessel segmentation and tracking using 7D MRI flow image data incorporate information from the velocity field and the magnitude. A vessel tracking methods selects a time containing sufficient blood flow through a vessel, uses the magnitude image to determine the vessel boundary and uses the velocity image to define the vessel direction. A method for segmenting tubular and circular objects segments the objects into separate vessels and then uses the velocity data to reunite the objects, where touching components are evaluated by the velocity field where they are connected. If vectors point towards the other component, the two components are reconnected. An advection-diffusion method based on fluid dynamics performs a fluid dynamics simulation with image forces according to the Navier-Stokes equations. With the 7D data, the vector field is available from the flow data, from the time point at which maximal flow occurs in the vessel of interest.
    • 使用7D MRI流量图像数据进行血管分割和跟踪的方法包括来自速度场和幅度的信息。 血管跟踪方法选择一个含有足够的血流通过血管的时间,使用幅度图像来确定血管边界,并使用速度图像来定义血管方向。 用于分割管状和圆形物体的方法将物体分成分离的容器,然后使用速度数据来重新统一物体,其中触摸部件由它们连接的速度场来评估。 如果向量指向另一个组件,则重新连接两个组件。 基于流体动力学的平流扩散方法根据Navier-Stokes方程进行图像力的流体动力学模拟。 利用7D数据,可以从流量数据,从感兴趣的血管中发生最大流量的时间点获得矢量场。
    • 6. 发明授权
    • System and method for automated detection of mucus plugs within bronchial tree in MSCT images
    • 用于自动检测MSCT图像中支气管树内粘液塞的系统和方法
    • US07929741B2
    • 2011-04-19
    • US11836966
    • 2007-08-10
    • Diran GuiliguianBenjamin OdryAtilla Peter Kiraly
    • Diran GuiliguianBenjamin OdryAtilla Peter Kiraly
    • G06K9/00
    • A61B5/08A61B6/50G06T7/0012G06T2207/10081G06T2207/30061
    • A method for detecting and localizing mucus plugs in digitized lung images, includes providing a digitized lung image volume comprising a plurality of intensities corresponding to a 3-dimensional grid of points, extracting a bronchial tree from said lung image, said bronchial tree comprising a plurality of branching airways terminating at terminal points, providing a model of a 2-dimensional cross section of an airway, selecting an extended point beyond a terminal point of an airway branch in a direction of said airway branch, obtaining a 2-dimensional cross section I of size m×n points from said lung image about said selected point, processing said 2D cross section I by calculating a local neighborhood function for each point in the cross section and forming a union of all local neighborhood functions, and calculating a correlation between processed 2D cross section and said airway model, wherein said correlation is indicative of the presence of a mucus plug within said airway.
    • 一种用于检测和定位数字化肺图像中的粘液塞的方法,包括提供数字化肺图像体积,其包括对应于三维网格点的多个强度,从所述肺图像提取支气管树,所述支气管树包括多个 在终点处终止的分支气道,提供气道的二维截面的模型,在所述气道支路的方向上选择超出气道支路的终点的延伸点,获得二维截面I 从所述肺图像的尺寸m×n的点到所述选择点,通过计算横截面中的每个点的局部邻域函数并且形成所有局部邻域函数的并集,并且计算处理的所述二维横截面I之间的相关性 2D横截面和所述气道模型,其中所述相关性指示所述气道内存在粘液塞。