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    METHOD AND SYSTEM FOR AUTOMATED VOLUME OF INTEREST SEGMENTATION
    1.
    发明申请
    METHOD AND SYSTEM FOR AUTOMATED VOLUME OF INTEREST SEGMENTATION 审中-公开
    自动分配量的方法和系统

    公开(公告)号：US20110188720A1

    公开(公告)日：2011-08-04

    申请号：US12698207

    申请日：2010-02-02

    申请人： Ajay Narayanan ,  Kajoli Banerjee Krishnan ,  Dattesh Dayanand Shanbhag ,  Patrice Hervo ,  Rakesh Mullick

    发明人： Ajay Narayanan ,  Kajoli Banerjee Krishnan ,  Dattesh Dayanand Shanbhag ,  Patrice Hervo ,  Rakesh Mullick

    IPC分类号： G06K9/00 ,  G06K9/20

    CPC分类号： G06K9/00 ,  G06K9/20

    摘要： Methods and systems and computer program products for automatically segmenting the volume of interest from intensity images are provided. The method for segmenting a volume of interest in an intensity image receives the intensity image and the scanner acquisition parameters used to acquire the intensity image. The method then scales the contrast of the intensity image based, at least in part, on the scanner acquisition parameters. The method segments the intensity image based, at least in part, on image data of the intensity image and the scanner acquisition parameters, to obtain the volume of interest.

    摘要翻译： 提供了用于从强度图像自动分割感兴趣体积的方法和系统以及计算机程序产品。 用于分割强度图像中的感兴趣体积的方法接收用于获取强度图像的强度图像和扫描器采集参数。 该方法然后至少部分地基于扫描器采集参数来缩放强度图像的对比度。 该方法至少部分地基于强度图像和扫描仪采集参数的图像数据来分割强度图像，以获得感兴趣的体积。

    Magnetic resonance imaging visualization method and system
    6.
    发明授权
    Magnetic resonance imaging visualization method and system 有权

    公开(公告)号：US07471086B2

    公开(公告)日：2008-12-30

    申请号：US11788444

    申请日：2007-04-20

    申请人： Rakesh Mullick

    发明人： Rakesh Mullick

    IPC分类号： G01V3/00

    CPC分类号： G01R33/56 ,  G01R33/5608

    摘要： The present technique provides a system and method for processing an image. Particularly the method comprises acquiring image data in frequency space (k-space) of an imaged volume and obtaining a three-dimensional (3-D) k-space volume representative of the imaged volume based on the acquired k-space data. The method further comprises selecting a two-dimensional (2-D) plane from the 3-D k-space volume and applying an inverse Fourier transform to the selected 2-D plane to obtain a real 2-D X-ray-like (or enhanced rendering) projection of the imaged volume offering insights into the 3-D data.

    Method for Registration and Navigation of Volumetric Scans Using Energy Profiles
    7.
    发明申请
    Method for Registration and Navigation of Volumetric Scans Using Energy Profiles 有权
    使用能量轮廓记录和导航体积扫描的方法

    公开(公告)号：US20080260286A1

    公开(公告)日：2008-10-23

    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： G06K9/20 ,  G06K9/32

    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 extracting multi-dimensional structures using dynamic constraints
    8.
    发明授权
    Method and apparatus for extracting multi-dimensional structures using dynamic constraints 有权
    使用动态约束提取多维结构的方法和装置

    公开(公告)号：US07310435B2

    公开(公告)日：2007-12-18

    申请号：US10723411

    申请日：2003-11-25

    申请人： Yogisha Mallya ,  Rakesh Mullick ,  Srikanth Suryanarayanan

    发明人： Yogisha Mallya ,  Rakesh Mullick ,  Srikanth Suryanarayanan

    IPC分类号： G06K9/00

    CPC分类号： G06T7/0012 ,  A61B6/00 ,  A61B6/548 ,  G06T7/12 ,  G06T2207/10081 ,  G06T2207/20156 ,  G06T2207/30101

    摘要： A technique is provided for segmenting a structure of interest from a volume dataset. The technique identifies regions of the structure using templates having characteristics of the structure of interest. The identified regions may then undergo a constrained growth process using dynamic constraints that may vary based on local statistics associated with the identified structure regions. Edges within the volume may be determined using gradient data determined by evaluating the strongest gradient between each pixel and all adjacent pixels. The edge data may be used to prevent the constrained growing process from exceeding the boundaries of the structure of interest.

    摘要翻译： 提供了一种用于从卷数据集分割感兴趣结构的技术。 该技术使用具有感兴趣结构特征的模板来识别结构的区域。 所识别的区域然后可以使用可基于与所识别的结构区域相关联的本地统计数据而变化的动态约束来经历约束生长过程。 可以使用通过评估每个像素和所有相邻像素之间的最强梯度确定的梯度数据来确定体积内的边缘。 边缘数据可以用于防止约束生长过程超出感兴趣的结构的边界。

    Brain image alignment method and system
    10.
    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。