利索-全球专利检索

  1. 登录
  2. 注册

搜索结果

8 条记录 (耗时 0.01 秒)

    Vascular image extraction and labeling system and method
    1.
    发明申请
    Vascular image extraction and labeling system and method 有权
    血管图像提取与标记系统及方法

    公开(公告)号：US20080188962A1

    公开(公告)日：2008-08-07

    申请号：US11702318

    申请日：2007-02-05

    申请人： Srikanth Suryanarayanan ,  Yogisha Mallya ,  Krishna Seetharam Shriram ,  Ajay Gopinath ,  Mukta C. Joshi

    发明人： Srikanth Suryanarayanan ,  Yogisha Mallya ,  Krishna Seetharam Shriram ,  Ajay Gopinath ,  Mukta C. Joshi

    IPC分类号： G05B19/42

    CPC分类号： G06K9/4638 ,  A61B6/506 ,  G06K2209/05 ,  G06T7/11 ,  G06T7/162 ,  G06T2207/10072 ,  G06T2207/30101

    摘要： A technique for producing a three-dimensional segmented image of blood vessels and automatically labeling the blood vessels. A scanned image of the head is obtained and an algorithm is used to segment the blood vessel image data from the image data of other tissues in the image. An algorithm is used to partition the blood vessel image data into sub-volumes that are then used to designate the root ends and the endpoints of major arteries. An algorithm is used to identify a seed-point voxel in one of the blood vessels within one of the sub-volume of the partition. Other voxels are then coded based on their geodesic distance from the seed-point voxel. An algorithm is used to identify endpoints of the arteries. This algorithm may also be used in the other sub-volumes to locate the starting points and endpoints of other blood vessels. One sub-volume is further sub-divided into left and right, anterior, medial, and posterior zones. Based on their location in one of these zones, the voxels corresponding to the endpoints of the blood vessels are labeled. Starting from these endpoints, the artery segments are tracked back to their starting points using an algorithm that simultaneously labels all of the blood vessel voxels along the path with a corresponding anatomical label identifying the blood vessel to which it belongs.

    摘要翻译： 一种用于产生血管的三维分割图像并自动标记血管的技术。 获得头部的扫描图像，并且使用算法从图像中的其他组织的图像数据分割血管图像数据。 使用算法将血管图像数据分割成子体积，然后将其用于指定主要动脉的根部和终点。 使用算法来识别分区的子体积之一内的血管之一中的种子点体素。 然后根据与种子体素的测距距离对其他体素进行编码。 一种算法用于识别动脉端点。 该算法也可以在其他子体积中用于定位其他血管的起始点和终点。 一个子体积进一步细分为左，右，内侧和后区。 基于它们在这些区域之一中的位置，对应于血管端点的体素被标记。 从这些端点开始，使用同时标记沿着路径的所有血管体素与识别其所属的血管的相应解剖标签的算法将动脉段追溯回其起点。

    Vascular image extraction and labeling system and method
    2.
    发明授权
    Vascular image extraction and labeling system and method 有权
    血管图像提取与标记系统及方法

    公开(公告)号：US07953262B2

    公开(公告)日：2011-05-31

    申请号：US11702318

    申请日：2007-02-05

    申请人： Srikanth Suryanarayanan ,  Yogisha Mallya ,  Krishna Seetharam Shriram ,  Ajay Gopinath ,  Mukta C. Joshi

    发明人： Srikanth Suryanarayanan ,  Yogisha Mallya ,  Krishna Seetharam Shriram ,  Ajay Gopinath ,  Mukta C. Joshi

    IPC分类号： G06K9/00

    CPC分类号： G06K9/4638 ,  A61B6/506 ,  G06K2209/05 ,  G06T7/11 ,  G06T7/162 ,  G06T2207/10072 ,  G06T2207/30101

    摘要： A technique for producing a three-dimensional segmented image of blood vessels and automatically labeling the blood vessels. A scanned image of the head is obtained and an algorithm is used to segment the blood vessel image data from the image data of other tissues in the image. An algorithm is used to partition the blood vessel image data into sub-volumes that are then used to designate the root ends and the endpoints of major arteries. An algorithm is used to identify a seed-point voxel in one of the blood vessels within one of the sub-volume of the partition. Other voxels are then coded based on their geodesic distance from the seed-point voxel. An algorithm is used to identify endpoints of the arteries. This algorithm may also be used in the other sub-volumes to locate the starting points and endpoints of other blood vessels. One sub-volume is further sub-divided into left and right, anterior, medial, and posterior zones. Based on their location in one of these zones, the voxels corresponding to the endpoints of the blood vessels are labeled. Starting from these endpoints, the artery segments are tracked back to their starting points using an algorithm that simultaneously labels all of the blood vessel voxels along the path with a corresponding anatomical label identifying the blood vessel to which it belongs.

    摘要翻译： 一种用于产生血管的三维分割图像并自动标记血管的技术。 获得头部的扫描图像，并且使用算法从图像中的其他组织的图像数据分割血管图像数据。 使用算法将血管图像数据分割成子体积，然后将其用于指定主要动脉的根部和终点。 使用算法来识别分区的子体积之一内的血管之一中的种子点体素。 然后根据与种子体素的测距距离对其他体素进行编码。 一种算法用于识别动脉端点。 该算法也可以在其他子体积中用于定位其他血管的起始点和终点。 一个子体积进一步细分为左，右，内侧和后区。 基于它们在这些区域之一中的位置，对应于血管端点的体素被标记。 从这些端点开始，使用同时标记沿着路径的所有血管体素与识别其所属的血管的相应解剖标签的算法将动脉段追溯回其起点。

    Method and system for image segmentation using models
    3.
    发明申请
    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：US20080188734A1

    公开(公告)日：2008-08-07

    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： A61B5/00

    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 and system for image segmentation using models
    5.
    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。

    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。

    Brain image alignment method and system
    8.
    发明申请
    Brain image alignment method and system 有权
    脑图像对齐方法及系统

    公开(公告)号：US20080188741A1

    公开(公告)日：2008-08-07

    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： A61B5/055

    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。