IMAGING SYSTEM
    21.
    发明申请
    IMAGING SYSTEM 审中-公开
    成像系统

    公开(公告)号:US20090027379A1

    公开(公告)日:2009-01-29

    申请号:US11572999

    申请日:2005-07-13

    IPC分类号: G06T15/00

    摘要: The present invention relates to an imaging system for displaying image data representative of a structure investigated by scan image data acquisition means. The imaging system comprises display rendering means for processing scan data representative of the configuration of the structure and rendering a display comprising a 3D image of the structure superposed with a scan image representative of the extent of the scan region.

    摘要翻译: 本发明涉及一种用于显示表示由扫描图像数据获取装置调查的结构的图像数据的成像系统。 成像系统包括显示渲染装置,用于处理表示结构的配置的扫描数据,并且渲染包括与表示扫描区域的范围的扫描图像重叠的结构的3D图像的显示。

    Method for Utilizing User Input for Feature Detection in Diagnostic Imaging
    22.
    发明申请
    Method for Utilizing User Input for Feature Detection in Diagnostic Imaging 审中-公开
    在诊断成像中利用用户输入进行特征检测的方法

    公开(公告)号:US20080009738A1

    公开(公告)日:2008-01-10

    申请号:US10578978

    申请日:2004-11-15

    IPC分类号: A61B8/14

    摘要: A method for utilizing user input for segmentation and feature detection in diagnostic ultrasound imaging is provided. The method provides border detection to be performed rapidly; a feature, which allows the border detection method to be applied to real-time video imaging with little or no delay. The border detection method may be incorporated within a diagnostic ultrasound imaging system or as a user-installable software application capable of being installed on and executed by an ultrasound imaging system.

    摘要翻译: 提供了一种在诊断超声成像中利用用户输入进行分割和特征检测的方法。 该方法提供快速执行边界检测; 一个特点,允许边框检测方法应用于实时视频成像,几乎没有或没有延迟。 边界检测方法可以结合在诊断超声成像系统中或作为能够安装在超声成像系统上并由其执行的用户可安装的软件应用。

    TISSUE STRAIN ANALYSIS
    27.
    发明申请
    TISSUE STRAIN ANALYSIS 审中-公开
    组织应变分析

    公开(公告)号:US20110077515A1

    公开(公告)日:2011-03-31

    申请号:US12993591

    申请日:2009-05-20

    IPC分类号: A61B8/00

    摘要: Elasticity variation within biological tissue is often correlated with its pathology. Variation of elasticity can be assessed by specific ultrasound acquisition sequences during which pressure is applied. The tissue motion and deformation during those sequences is correlated to the tissue stiffness. The present invention describes a hybrid method that combines a real-time monitoring mode during acquisition and a non-real-time fine analysis after acquisition. This method allows early identification and fair assessment of pathology from elastographic analysis to obtain the best possible result for elastography assessment.

    摘要翻译: 生物组织内的弹性变化往往与其病理学相关。 可以通过施加压力的特定超声波获取序列来评估弹性变化。 组织运动和这些序列中的变形与组织刚度相关。 本发明描述了一种混合方法,其在采集期间组合实时监控模式和在获取后非实时精细分析。 这种方法可以早期识别和弹性分析的病理学评估,以获得弹性成像评估的最佳结果。

    Adaptation of potential terms in real-time optimal path extraction
    30.
    发明授权
    Adaptation of potential terms in real-time optimal path extraction 有权
    适应潜在术语的实时最优路径提取

    公开(公告)号:US07424149B2

    公开(公告)日:2008-09-09

    申请号:US10480659

    申请日:2002-06-26

    IPC分类号: G06K9/00 G06K9/34

    摘要: The invention relates to a method for segmenting an image [IM] by path extraction using minimization of at least a potential [POT], said potential being calculated [CAS] from a feature [FEA] of the image [IM] using a cost assignment function [CAF], said calculation [CAS] being realized using the definition of two groups of points [NP and PP] in a neighborhood of a drawn [DRW] contour: the ones that are considered to be relevant to a boundary, called positive points [PP] and the ones that are not considered to be relevant to said boundary, called negative points [NP]. A refined characterization of positive points is constructed by combining characterizations of positive and negative points and the cost assignment function [CAF] is modified [CAL] using this refined characterization. The invention proposes also a fully automatic simultaneous adaptation of the different cost assignment functions of the individual potentials in a total function of potentials, and their relative weightings.

    摘要翻译: 本发明涉及一种通过使用最小化电位[POT]的路径提取来分割图像[IM]的方法,所述电位是使用成本分配从图像[IM]的特征[FEA]计算出的[CAS] 函数[CAF],所计算的[CAS]使用在绘制[DRW]轮廓附近的两组点[NP和PP]的定义来实现:被认为与边界相关的点,称为正 点[PP]和不被认为与所述边界相关的点,称为负点[NP]。 通过组合正点和负数点的特征来构建积极点的精细表征,并使用这种精细表征来修改成本分配函数[CAF] [CAL]。 本发明还提出了在潜在的全部功能中各个电位的不同成本分配功能以及它们的相对权重的全自动同时适应。