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    Method and system for image segmentation using models
    1.
    发明授权
    Method and system for image segmentation using models 有权
    使用模型的图像分割方法和系统

    公开(公告)号：US08014578B2

    公开(公告)日：2011-09-06

    申请号：US11702370

    申请日：2007-02-05

    申请人： Srikanth Suryanarayanan ,  Rakesh Mullick ,  Mitali Janardan More ,  Krishna Seetharam Shriram

    发明人： Srikanth Suryanarayanan ,  Rakesh Mullick ,  Mitali Janardan More ,  Krishna Seetharam Shriram

    IPC分类号： G06K9/00

    CPC分类号： G06T7/149 ,  A61B6/503 ,  A61B6/504 ,  G06T7/12 ,  G06T2207/10081 ,  G06T2207/30048

    摘要： A technique is provided for utilizing a model of an anatomical feature to facilitate the segmentation of the anatomical feature from its background in a medical image. A global alignment of the model with a region in the patient's image data that generally corresponds to the anatomical feature is performed in one embodiment. Internal structural features within the model are then aligned with their corresponding structural features in the patient's image data. The portion of the patient's image data that is aligned with the model of the anatomical feature is then segmented from the remaining portions of the patient's image data that are not aligned with the model.

    摘要翻译： 提供了一种用于利用解剖特征的模型以便于在医学图像中从其背景分割解剖特征的技术。 在一个实施例中，执行模型与患者图像数据中通常对应于解剖特征的区域的全局对准。 然后将模型内部的结构特征与患者图像数据中的相应结构特征对齐。 然后将与解剖特征的模型对准的患者图像数据的部分从患者图像数据的与模型对准的剩余部分分割。

    Method for registration and navigation of volumetric scans using energy profiles
    2.
    发明授权
    Method for registration and navigation of volumetric scans using energy profiles 有权
    使用能量曲线的体积扫描的注册和导航方法

    公开(公告)号：US07907761B2

    公开(公告)日：2011-03-15

    申请号：US11738066

    申请日：2007-04-20

    申请人： Navneeth Subramanian ,  Srikanth Suryanarayanan ,  Rakesh Mullick

    发明人： Navneeth Subramanian ,  Srikanth Suryanarayanan ,  Rakesh Mullick

    IPC分类号： G06K9/00

    CPC分类号： G06K9/32 ,  G06K2209/05

    摘要： A method is provided for identifying a location of a region of interest in a volumetric image scan that includes a plurality of slices of an object and wherein each slice, in turn, includes a plurality of pixels. The method includes setting a predetermined pixel intensity threshold corresponding to a particular region of interest; identifying target pixels for each slice from the plurality of pixels that exceed the predetermined pixel intensity threshold; creating an energy profile from the target pixels for each slice; and comparing the energy profile to a predefined energy profile to determine the location of the region of interest.

    摘要翻译： 提供了一种用于识别包括对象的多个切片的体积图像扫描中的感兴趣区域的位置的方法，并且其中每个切片依次包括多个像素。 该方法包括设置对应于特定感兴趣区域的预定像素强度阈值; 从超过所述预定像素强度阈值的所述多个像素中识别每个切片的目标像素; 从每个切片的目标像素创建能量轮廓; 以及将所述能量分布与预定义的能量分布比较以确定所述感兴趣区域的位置。

    Method and apparatus for partitioning a volume
    3.
    发明授权
    Method and apparatus for partitioning a volume 有权
    分割卷的方法和装置

    公开(公告)号：US07177453B2

    公开(公告)日：2007-02-13

    申请号：US10304581

    申请日：2002-11-26

    申请人： Srikanth Suryanarayanan ,  Rakesh Mullick ,  Vidya Pundalik Kamath ,  Yogisha Mallya ,  Robert F. Senzig

    发明人： Srikanth Suryanarayanan ,  Rakesh Mullick ,  Vidya Pundalik Kamath ,  Yogisha Mallya ,  Robert F. Senzig

    IPC分类号： G06K9/00

    CPC分类号： G06T7/0012 ,  G06T7/11 ,  G06T2207/10116 ,  G06T2207/30008 ,  G06T2207/30101

    摘要： A technique is provided for partitioning an imaged volume into two or more sub-volumes. The technique identifies partition lines which separate the sub-volumes by generating a profile, such as a bone profile, which is then analyzed to determine the placement of the partition lines. In one embodiment, placement of the partition lines is determined automatically by applying one or more sets of hierarchical rules to the profile. After separation of the imaged volume into sub-volumes, each sub-volume may be differentially segmented such that segmentation is customized for the sub-volume. Likewise, after separation of the imaged volume into sub-volumes, the acquisition parameters for each sub-volume may be customized for subsequent acquisitions.

    摘要翻译： 提供了一种用于将成像的体积分成两个或更多个子体积的技术。 该技术通过生成轮廓（例如骨骼轮廓）来分离子体积的分割线，然后分析轮廓以确定分割线的位置。 在一个实施例中，通过将一个或多个分层规则集合应用于简档来自动确定分割线的放置。 在将成像的体积分离成子体积之后，每个子体积可以被差异地分段，使得针对子体积定制分割。 同样，在将成像的体积分成子体积之后，可以为每个子体积的采集参数定制以用于随后的采集。

    Graph extraction labelling and visualization
    4.
    发明申请
    Graph extraction labelling and visualization 有权
    图形提取标注和可视化

    公开(公告)号：US20060176306A1

    公开(公告)日：2006-08-10

    申请号：US10996519

    申请日：2004-11-24

    申请人： Nithin Nagaraj ,  Srikanth Suryanarayanan

    发明人： Nithin Nagaraj ,  Srikanth Suryanarayanan

    IPC分类号： G06T11/20

    CPC分类号： G06T11/206 ,  G06K9/469 ,  H04L41/12 ,  H04L41/22 ,  Y04S40/164

    摘要： A technique is provided for modeling a network relationship via providing a graphical representation of the network relationship and labeling the graphical representation based on a symbol sequence. Further, one or more tools is provided by the present technique for interactively visualizing and/or analyzing the graphical representation of the network relationship based on the symbol sequence.

    摘要翻译： 提供了一种通过提供网络关系的图形表示来建模网络关系并且基于符号序列来标记图形表示的技术。 此外，通过本技术提供了一种或多种工具，用于基于符号序列交互地可视化和/或分析网络关系的图形表示。

    Brain image alignment method and system
    6.
    发明授权
    Brain image alignment method and system 有权
    脑图像对齐方法及系统

    公开(公告)号：US08041088B2

    公开(公告)日：2011-10-18

    申请号：US11702372

    申请日：2007-02-05

    申请人： Yogisha Mallya ,  Srikanth Suryanarayanan ,  Krishna Seetharam Shriram ,  Rakesh Mullick ,  Mitali Janardan More

    发明人： Yogisha Mallya ,  Srikanth Suryanarayanan ,  Krishna Seetharam Shriram ,  Rakesh Mullick ,  Mitali Janardan More

    IPC分类号： G06K9/00

    CPC分类号： A61B6/032 ,  A61B6/501 ,  A61B6/5247 ,  G06T7/38

    摘要： A technique for automatically labeling a CT image of the brain with anatomical information. The anatomical information is obtained from an atlas of the brain prepared from an MR image of the brain. The atlas contains image data that is referenced to the Talairach coordinate system. The atlas is aligned to the CT image and the coordinate system of the CT image data is transformed to the Talairach coordinate system. The alignment of the CT image and the atlas is performed using anatomical landmarks that are visible on both the CT image and the atlas. The CT image is then labeled automatically with the anatomical information in the atlas.

    摘要翻译： 一种用解剖信息自动标记大脑CT图像的技术。 解剖信息是从脑的MR图像准备的大脑图集获得的。 图集包含参考Talairach坐标系的图像数据。 图集与CT图像对齐，CT图像数据的坐标系转换为Talairach坐标系。 使用在CT图像和图谱上可见的解剖学标记来执行CT图像和图谱的对准。 然后用图谱中的解剖信息自动标记CT图像。