SEGMENTATION AND IDENTIFICATION OF LAYERED STRUCTURES IN IMAGES
    12.
    发明申请
    SEGMENTATION AND IDENTIFICATION OF LAYERED STRUCTURES IN IMAGES 审中-公开
    图像中层状结构的分割和识别

    公开(公告)号:US20140334703A1

    公开(公告)日:2014-11-13

    申请号:US14337215

    申请日:2014-07-21

    Abstract: Disclosed herein are systems and method for segmentation and identification of structured features in images. According to an aspect, a method may include representing an image as a graph of nodes connected together by edges. For example, the image may be an ocular image showing layered structures or other features of the retina. The method may also include adding, to the graph, nodes adjacent to nodes along first and second sides of the graph. The added nodes may have edge weights less than the nodes along the first and second sides of the graph. Further, the method may include assigning start and end points to any of the added nodes along the first and second sides, respectively. The method may also include graph cutting between the start and end points for identifying a feature in the image.

    Abstract translation: 这里公开了用于分割和识别图像中的结构化特征的系统和方法。 根据一个方面,一种方法可以包括将图像表示为由边缘连接在一起的节点的图形。 例如,图像可以是显示视网膜的分层结构或其他特征的眼睛图像。 该方法还可以包括向图中添加与图的第一和第二侧相邻的节点相邻的节点。 添加的节点可以具有小于沿图的第一和第二侧的节点的边权重。 此外,该方法可以包括分别将起点和终点分配给沿着第一和第二侧的任何添加的节点。 该方法还可以包括用于识别图像中的特征的开始点和结束点之间的图形切割。

    Methods and computer program products for quantitative three-dimensional image correction and clinical parameter computation in optical coherence tomography
    16.
    发明授权
    Methods and computer program products for quantitative three-dimensional image correction and clinical parameter computation in optical coherence tomography 有权
    光学相干断层扫描中定量三维图像校正和临床参数计算的方法和计算机程序产品

    公开(公告)号:US09384582B2

    公开(公告)日:2016-07-05

    申请号:US13999539

    申请日:2014-03-07

    Abstract: Methods and computer program products for quantitative three-dimensional (“3D”) image correction in optical coherence tomography. Using the methods and computer program products, index interface (refracting) surfaces from the raw optical coherence tomography (“OCT”) dataset from an OCT system can be segmented. Normal vectors or partial derivatives of the curvature at a refracting surface can be calculated to obtain a refracted image voxel. A new position of each desired refracted image voxel can be iteratively computed. New refracted corrected voxel positions to an even sampling grid can be interpolated to provide corrected image data. In some embodiments, clinical outputs from the corrected image data can be computed.

    Abstract translation: 光学相干断层扫描中定量三维(“3D”)图像校正的方法和计算机程序产品。 使用方法和计算机程序产品,可以对来自OCT系统的原始光学相干断层扫描(“OCT”)数据集的索引接口(折射)表面进行分割。 可以计算折射表面处的曲率的法向矢量或偏导数,以获得折射的图像体素。 可以迭代地计算每个期望的折射图像体素的新位置。 可以将针对均匀采样网格的新的折射校正体素位置进行内插以提供校正的图像数据。 在一些实施例中,可以计算来自校正图像数据的临床输出。

    SYSTEMS AND METHODS FOR STRUCTURED ILLUMINATION SUPER-RESOLUTION PHASE MICROSCOPY
    17.
    发明申请
    SYSTEMS AND METHODS FOR STRUCTURED ILLUMINATION SUPER-RESOLUTION PHASE MICROSCOPY 有权
    结构化照明超分辨相显微镜的系统和方法

    公开(公告)号:US20150077535A1

    公开(公告)日:2015-03-19

    申请号:US14250846

    申请日:2014-04-11

    Abstract: Systems and methods for structured illumination super-resolution phase microscopy are disclosed. According to an aspect, an imaging system includes a light source configured to generate light. The system also includes a diffraction grating positioned to receive and diffract the output light. The system also includes a sample holder positioned to receive the diffracted light for transmission through a sample. Further, the system includes an image detector positioned to receive the light transmitted through the sample and configured to generate image data based on the received light. The system also includes a computing device configured to apply subdiffraction resolution reconstruction to the image data for generating an image of the sample.

    Abstract translation: 公开了用于结构照明超分辨相位显微镜的系统和方法。 根据一个方面,成像系统包括被配置为产生光的光源。 该系统还包括被定位成接收和衍射输出光的衍射光栅。 该系统还包括定位成接收衍射光以便透过样品的样品架。 此外,该系统包括图像检测器,定位成接收透过样品的光,并被配置为基于接收的光产生图像数据。 该系统还包括被配置为对图像数据应用子分解分辨率重建以生成样本的图像的计算设备。

Patent Agency Ranking