Apparatus and methods of optimal placement of deep brain stimulator
    1.
    发明授权
    Apparatus and methods of optimal placement of deep brain stimulator 有权
    深脑刺激器最佳放置装置及方法

    公开(公告)号:US07167760B2

    公开(公告)日:2007-01-23

    申请号:US10833504

    申请日:2004-04-28

    IPC分类号: A61N1/05

    摘要: A method of optimal placement of a deep brain stimulator in a targeted region of a brain of a living subject for optimal deep brain stimulation. In one embodiment, the method includes the steps of nonmanually selecting an initial optimal position from, refining the nonmanually selected initial optimal position to determine a final position, and placing the deep brain stimulator at the final position in the targeted region of the brain of the living subject.

    摘要翻译: 将深部脑刺激器最佳放置在活体受试者的脑的目标区域中以优化深部脑刺激的方法。 在一个实施例中,该方法包括以下步骤:非手工选择初始最优位置,从精简非手工选择的初始最优位置以确定最终位置,以及将深脑刺激器置于目标区域的最终位置 生活主体

    System and methods of deep brain stimulation for post-operation patients
    2.
    发明授权
    System and methods of deep brain stimulation for post-operation patients 有权
    术后患者深部脑刺激的系统和方法

    公开(公告)号:US07957808B2

    公开(公告)日:2011-06-07

    申请号:US11653599

    申请日:2007-01-16

    IPC分类号: A61N1/18

    CPC分类号: A61N1/0534 A61N1/36082

    摘要: A method for programming a deep brain stimulator implanted in a target region of a brain of a living subject. In one embodiment, the method comprises the steps of creating an efficacy atlas; acquiring a position of each electrode contact of the at least one electrode; mapping the acquired position of each electrode contact of the at least one electrode onto a corresponding position in the efficacy atlas so as to determine the efficacy of stimulation at the acquired position; and selecting one or more electrode contacts having the highest efficacy for stimulation.

    摘要翻译: 一种用于编程植入生物体脑部的目标区域的深部脑刺激器的方法。 在一个实施例中,该方法包括以下步骤:创建功效图谱; 获取所述至少一个电极的每个电极接触的位置; 将所述至少一个电极的每个电极接触的获取位置映射到所述功效图谱中的相应位置,以便确定所述获得位置处的刺激的功效; 以及选择具有最高刺激功效的一个或多个电极接触。

    SYSTEM AND METHODS OF DEEP BRAIN STIMULATION FOR POST-OPERATION PATIENTS
    3.
    发明申请
    SYSTEM AND METHODS OF DEEP BRAIN STIMULATION FOR POST-OPERATION PATIENTS 审中-公开
    深部脑刺激术后患者的系统与方法

    公开(公告)号:US20110160800A1

    公开(公告)日:2011-06-30

    申请号:US13044948

    申请日:2011-03-10

    IPC分类号: A61N1/36

    CPC分类号: A61N1/0534 A61N1/36082

    摘要: A method for programming a deep brain stimulator implanted in a target region of a brain of a living subject for optimal stimulation, wherein the deep brain stimulator comprises at least one electrode having a plurality of electrode contacts spaced apart from each other, and any portion of the brain of the living subject is identifiable by a set of corresponding spatial coordinates. In one embodiment, the method comprises the steps of creating an efficacy atlas in which any spatial coordinates for a position in a target region of the brain of the living subject are related to a position with corresponding atlas coordinates in the efficacy atlas, and each position in the atlas coordinates of the efficacy atlas is associated with an efficacy of stimulation at a corresponding position in the spatial coordinates of the brain of the living subject; acquiring a position of each electrode contact of the at least one electrode in the spatial coordinates of the brain of the living subject; mapping the acquired position of each electrode contact of the at least one electrode in the spatial coordinates of the brain of the living subject onto a corresponding position in the efficacy atlas so as to determine the efficacy of stimulation at the acquired position in the spatial coordinates of the brain of the living subject; and selecting one or more electrode contacts having the highest efficacy for stimulation.

    摘要翻译: 一种用于对植入目标区域的深部脑刺激器进行编程以进行最佳刺激的方法,其中所述深部脑刺激器包括至少一个电极,所述至少一个电极具有彼此间隔开的多个电极接触部分, 活体的大脑可以通过一组相应的空间坐标来识别。 在一个实施例中,该方法包括以下步骤:创建效能图谱,其中在活体受试者的脑的目标区域中的位置的任何空间坐标与效能图集中具有对应的图集坐标的位置相关,并且每个位置 在图谱中,效能图集的坐标与在活体大脑的空间坐标的相应位置处的刺激功效相关联; 获取所述至少一个电极在所述活体的大脑的空间坐标中的每个电极接触的位置; 将活体受试者的大脑的空间坐标中的至少一个电极的每个电极接触的获取位置映射到功效图谱中的相应位置,以便确定在所获取的位置处的刺激在空间坐标中的功效 生命主体的大脑; 以及选择具有最高刺激功效的一个或多个电极接触。

    SYSTEM AND METHODS FOR AUTOMATIC SEGMENTATION OF ONE OR MORE CRITICAL STRUCTURES OF THE EAR
    4.
    发明申请
    SYSTEM AND METHODS FOR AUTOMATIC SEGMENTATION OF ONE OR MORE CRITICAL STRUCTURES OF THE EAR 有权
    用于自动分配一个或多个关键结构的系统和方法

    公开(公告)号:US20090060308A1

    公开(公告)日:2009-03-05

    申请号:US12200075

    申请日:2008-08-28

    IPC分类号: G06K9/00

    摘要: A system and method for automatic segmentation of a structure of interest of an ear are disclosed, where the structure of interest includes the facial nerve and chorda tympani. In one embodiment, the method combines an atlas-based approach with a minimum cost path finding algorithm. A structure model is constructed from a plurality of preoperative image volumes to have a centerline of the structure of interest in an atlas with each point along the centerline being associated with expected values for characteristic features, and used to create a spatially varying cost function that includes geometric information. A three-dimension minimum cost accumulating path is computed using the cost function, which is used to extract the centerline of the structure of interest. The centerlines are then expanded into the full structures using a level-set algorithm with a spatially-varying speed function, so as to segment of the structure of interest.

    摘要翻译: 公开了一种用于耳朵感兴趣的结构的自动分割的系统和方法,其中感兴趣的结构包括面神经和鼓膜鼓膜。 在一个实施例中,该方法将基于图集的方法与最小成本路径查找算法相结合。 从多个术前图像体积构建结构模型,以在图集中具有感兴趣结构的中心线,其中沿着中心线的每个点与特征特征的期望值相关联,并且用于创建空间变化的成本函数,其包括 几何信息。 使用成本函数计算三维最小成本累积路径,该成本函数用于提取感兴趣结构的中心线。 然后,使用具有空间变化速度函数的电平集算法将中心线扩展到全部结构,以便分段感兴趣的结构。

    System and methods for automatic segmentation of one or more critical structures of the ear
    5.
    发明授权
    System and methods for automatic segmentation of one or more critical structures of the ear 有权
    用于自动分割耳朵的一个或多个关键结构的系统和方法

    公开(公告)号:US08073216B2

    公开(公告)日:2011-12-06

    申请号:US12200075

    申请日:2008-08-28

    IPC分类号: G06K9/00

    摘要: A system and method for automatic segmentation of a structure of interest of an ear are disclosed, where the structure of interest includes the facial nerve and chorda tympani. In one embodiment, the method combines an atlas-based approach with a minimum cost path finding algorithm. A structure model is constructed from a plurality of preoperative image volumes to have a centerline of the structure of interest in an atlas with each point along the centerline being associated with expected values for characteristic features, and used to create a spatially varying cost function that includes geometric information. A three-dimension minimum cost accumulating path is computed using the cost function, which is used to extract the centerline of the structure of interest. The centerlines are then expanded into the full structures using a level-set algorithm with a spatially-varying speed function, so as to segment of the structure of interest.

    摘要翻译: 公开了一种用于耳朵感兴趣的结构的自动分割的系统和方法,其中感兴趣的结构包括面神经和鼓膜鼓膜。 在一个实施例中,该方法将基于图集的方法与最小成本路径查找算法相结合。 从多个术前图像体积构建结构模型,以在图集中具有感兴趣结构的中心线,其中沿着中心线的每个点与特征特征的期望值相关联,并且用于创建空间变化的成本函数,其包括 几何信息。 使用成本函数计算三维最小成本累积路径,该成本函数用于提取感兴趣结构的中心线。 然后,使用具有空间变化速度函数的电平集算法将中心线扩展到全部结构,以便分段感兴趣的结构。

    System and methods of organ segmentation and applications of same
    8.
    发明授权
    System and methods of organ segmentation and applications of same 有权
    器官分割的系统和方法及其应用

    公开(公告)号:US07519209B2

    公开(公告)日:2009-04-14

    申请号:US11165565

    申请日:2005-06-23

    IPC分类号: G06K9/00 A61B6/00

    摘要: A method for segmentation of an organ of a living subject with a variable shape and boundary and surrounded by structures and tissues in connection with an image containing the organ. In one embodiment, the method includes the steps of initializing a contour inside the organ in the image, introducing a speed function that is capable of accumulating spatial and temporal information of a propagating front of the contour, and evolving the contour toward the boundary of the organ using the introduced speed function so as to segment the organ.

    摘要翻译: 一种用于分割具有可变形状和边界的活体的器官的方法,并且包括与包含器官的图像相关的结构和组织。 在一个实施例中,该方法包括以下步骤:初始化图像内的器官内的轮廓,引入能够累积轮廓的传播前沿的空间和时间信息的速度函数,以及向轮廓的边界发展轮廓 器官使用引入的速度功能以分割器官。