Automatic CAD algorithm selection
    71.
    发明授权
    Automatic CAD algorithm selection 有权
    自动CAD算法选择

    公开(公告)号:US08134571B2

    公开(公告)日:2012-03-13

    申请号:US11543416

    申请日:2006-10-05

    摘要: A computer system for automatic selection of a computer-aided detection (CAD) algorithm including a database storing image data, a browser for navigating the data and selecting image data, an application receiving image data selected by the browser, and a selector selecting a CAD algorithm for processing the image data according to at least one of fixed attributes of the image data and an indication of a subject of the image data.

    摘要翻译: 一种用于自动选择计算机辅助检测(CAD)算法的计算机系统,包括存储图像数据的数据库,用于导航数据和选择图像数据的浏览器,接收由浏览器选择的图像数据的应用程序,以及选择CAD 算法,用于根据图像数据的固定属性和图像数据的对象的指示中的至少一个来处理图像数据。

    Volumetric characterization using covariance estimation from scale-space hessian matrices
    72.
    发明授权
    Volumetric characterization using covariance estimation from scale-space hessian matrices 有权
    使用尺度空间非线性矩阵的协方差估计的体积特征

    公开(公告)号:US07720269B2

    公开(公告)日:2010-05-18

    申请号:US10954741

    申请日:2004-09-30

    IPC分类号: G06K9/00

    摘要: A method for determining a volume of interest in data includes determining fixed-bandwidth estimations of a plurality of analysis bandwidths, wherein the estimation of the fixed-bandwidth comprises, providing an estimate of a mode location of the volume of interest in the data, and determining a covariance of the volume of interest using a local Hessian matrix. The method further includes determining the volume of interest as a most stable fixed-bandwidth estimation across each of the plurality of analysis bandwidths.

    摘要翻译: 一种用于确定数据中的感兴趣体积的方法包括:确定多个分析带宽的固定带宽估计,其中固定带宽的估计包括:提供数据中感兴趣体积的模式位置的估计,以及 使用局部Hessian矩阵确定感兴趣体积的协方差。 该方法还包括将感兴趣的体积确定为跨越多个分析带宽中的每一个的最稳定的固定带宽估计。

    Computer-aided detection systems and methods for ensuring manual review of computer marks in medical images
    74.
    发明授权
    Computer-aided detection systems and methods for ensuring manual review of computer marks in medical images 有权
    计算机辅助检测系统和方法,用于确保医学图像中电脑标记的手动检查

    公开(公告)号:US07492933B2

    公开(公告)日:2009-02-17

    申请号:US10798593

    申请日:2004-03-11

    申请人: Arun Krishnan

    发明人: Arun Krishnan

    IPC分类号: G06K9/00

    摘要: CAD (computer-aided detection) systems, methods and tools are provided for automatically inserting “false” marks (e.g., incorrect marks, misleading marks, etc.) in medical images to ensure an unbiased CAD-assisted review of the marked medical images by physicians, clinicians, radiologists, etc. For example, a method for automatic detection of medical conditions in medical images includes the steps of receiving image data, processing the image data to detect potential medical conditions in the image data, adding a mark in the image data that indicates a detected medical condition, adding a false mark in the image data; and outputting marked image data comprising one or more marks that indicate a detected medical condition, or one or more false marks, or both. The individual performing a CAD-assisted review of the “marked” image data is aware that one or more “false” marks may be included in displayed images, which prevents blind reliance on the CAD results.

    摘要翻译: 提供CAD(计算机辅助检测)系统,方法和工具,用于在医学图像中自动插入“假”标记(例如不正确的标记,误导性标记等),以确保通过以下方式对标记的医学图像进行无偏差的CAD辅助审查 医生,临床医师,放射科医师等。例如,医疗图像中的医疗状态的自动检测方法包括以下步骤:接收图像数据,处理图像数据以检测图像数据中的潜在医疗状况,在图像中添加标记 指示检测到的医疗状况的数据,在图像数据中添加虚假标记; 并且输出包括指示检测到的医疗状况的一个或多个标记的标记图像数据,或一个或多个假标记,或两者。 对“标记”图像数据执行CAD辅助审查的个人意识到,显示的图像中可能包含一个或多个“假”标记,这可以防止盲目依赖CAD结果。

    Refined segmentation of nodules for computer assisted diagnosis
    75.
    发明申请
    Refined segmentation of nodules for computer assisted diagnosis 有权
    精细分割结节用于计算机辅助诊断

    公开(公告)号:US20060269109A1

    公开(公告)日:2006-11-30

    申请号:US11396854

    申请日:2006-04-03

    IPC分类号: G06K9/00 G06K9/34

    摘要: By testing for nodule segmentation errors based on the scan data, juxtapleural cases are identified. Once identified, the scan data or subsequent estimation may be altered to account for adjacent rib, tissue, vessel or other structure effecting segmentation. One alteration is to shape a filter as a function of the scan data. For example, an originally estimated ellipsoid for the nodule segmentation defines the filter. The filter is used to identify the undesired information, and masking removes the undesired information for subsequent estimation of the nodule segmentation. Another possible alteration biases the subsequent estimation away from the incorrect information, such as the rib, tissue or vessel information influencing the original estimation. For example, a negative prior or probability is assigned to data corresponding to the originally estimated segmentation for the subsequent estimation.

    摘要翻译: 通过基于扫描数据测试结节分割错误,确定并列案例。 一旦被识别,可以改变扫描数据或随后的估计,以考虑影响分割的相邻肋,组织,血管或其他结构。 一个改变是根据扫描数据来形成一个过滤器。 例如,用于结节分段的原始估计的椭圆体定义了滤波器。 滤波器用于识别不期望的信息,并且掩蔽去除了不期望的信息以用于随后估计结节分割。 另一种可能的改变偏离了不正确信息的后续估计,例如影响原始估计的肋骨,组织或血管信息。 例如,将负的先前或概率分配给对应于用于后续估计的最初估计的分割的数据。

    Prior-constrained mean shift analysis
    76.
    发明申请
    Prior-constrained mean shift analysis 失效
    先前约束平均偏移分析

    公开(公告)号:US20060242218A1

    公开(公告)日:2006-10-26

    申请号:US11371698

    申请日:2006-03-09

    IPC分类号: G06F7/38

    摘要: A system and method are provided for prior-constrained mean shift analysis of a data array, the system including a processor, an input adapter in signal communication with the processor for receiving at least one data array, and a prior constraints unit in signal communication with the processor for performing a prior-constrained mean shift analysis on the at least one data array; and the method including receiving initialization data, selecting an initial point relative to the initialization data, Gaussian fitting with a prior-constrained mean shift responsive to the initial point to parse a structure, and setting the parsed structure as a prior constraint.

    摘要翻译: 提供了一种用于数据阵列的先前约束平均移位分析的系统和方法,该系统包括处理器,与处理器进行信号通信的输入适配器,用于接收至少一个数据阵列,以及与信号通信中的先前约束单元, 所述处理器用于对所述至少一个数据阵列执行先前约束的平均移位分析; 并且所述方法包括接收初始化数据,相对于初始化数据选择初始点,响应于初始点解析结构的先验约束平均移位的高斯拟合,以及将解析结构设置为先前约束。

    CAD (computer-aided decision ) support systems and methods
    79.
    发明申请
    CAD (computer-aided decision ) support systems and methods 有权
    CAD(计算机辅助决策)支持系统和方法

    公开(公告)号:US20050102315A1

    公开(公告)日:2005-05-12

    申请号:US10918002

    申请日:2004-08-13

    申请人: Arun Krishnan

    发明人: Arun Krishnan

    IPC分类号: G06F17/00 G06T5/00 G06T7/00

    摘要: CAD (computer-aided decision) support systems, methods and tools are provided for automated decision support for screening, evaluating, and/or diagnosing medial conditions. For example, CAD support systems and tools implement methods for automatically processing patient data for a subject patient using various interpretation methods, and integrally rending and presenting the interpretation results to a user (e.g., physician, radiologist, etc.) in a manner that enables fast and efficient screening, evaluation, and/or diagnosis of potential medical conditions of the subject patient.

    摘要翻译: 提供CAD(计算机辅助决策)支持系统,方法和工具,用于自动决策支持,用于筛选,评估和/或诊断内侧条件。 例如,CAD支持系统和工具实现用于使用各种解释方法自动处理患者数据的方法,并且以使得能够将用户(例如,医师,放射科医师等)整体地呈现和呈现解释结果 快速有效地筛选,评估和/或诊断受试患者的潜在医疗状况。