Segmentation and data mining for gel electrophoresis images
    3.
    发明申请
    Segmentation and data mining for gel electrophoresis images 审中-公开
    凝胶电泳图像的分割和数据挖掘

    公开(公告)号:US20060257053A1

    公开(公告)日:2006-11-16

    申请号:US10563706

    申请日:2004-06-16

    IPC分类号: G06K9/54 G06K9/00 G06K9/46

    摘要: A segmentation method is provided for the automated segmentation of spot-light structures into D images allowing precise quantification and classification of said structures and said images, based on a plurality of criteria, and further allowing the automated identification of multi-spot based patterns present in one or a plurality of images. In a preferred embodiment, the invention is used for the analysis of 2D gel electrophoresis images, with objective of quantifying protein expressions and for allowing sophisticated multi-protein pattern based image data mining, as well as image matching, registration, and automated classification.

    摘要翻译: 提供了一种分割方法,用于将点光结构自动分割为D图像,允许基于多个准则对所述结构和所述图像进行精确定量和分类,并且还允许自动识别存在于 一个或多个图像。 在优选的实施方案中,本发明用于2D凝胶电泳图像的分析,其目的是量化蛋白质表达并允许复杂的基于多蛋白模式的图像数据挖掘,以及图像匹配,配准和自动分类。

    METHOD FOR TRACKING 3D ANATOMICAL AND PATHOLOGICAL CHANGES IN TUBULAR-SHAPED ANATOMICAL STRUCTURES
    4.
    发明申请
    METHOD FOR TRACKING 3D ANATOMICAL AND PATHOLOGICAL CHANGES IN TUBULAR-SHAPED ANATOMICAL STRUCTURES 审中-公开
    用于跟踪管状解剖结构中3D解剖学和病理学变化的方法

    公开(公告)号:US20100309198A1

    公开(公告)日:2010-12-09

    申请号:US12600134

    申请日:2008-05-15

    申请人: Claude Kauffmann

    发明人: Claude Kauffmann

    IPC分类号: G06K9/00 G06T15/00

    摘要: A method for visualizing the anatomy of a region of interest of a tubular-shaped organ based on acquired three-dimensional image slices of the region of interest. Prior to segmentation, reference markers are positioned interactively in the image slices, a minimum curvature path connecting the reference markers is automatically extracted and cross-sectional images are interpolated along a plane normal to a tangent vector of the minimum curvature path. A segmented area corresponding to the region of interest is then delimited in each cross-sectional image and, using this segmented area, a three-dimensional surface representation of the region of interest is computed to readily quantify attributes, such as a maximal diameter and a volume, of the region of interest. When the image sets are acquired in different imaging geometries, the image sets may further be co-registered prior to segmentation, resulting in image sets superimposed in the same geometrical reference frame.

    摘要翻译: 一种基于获取的感兴趣区域的三维图像切片来显现管状器官感兴趣区域的解剖结构的方法。 在分割之前,参考标记被交互地定位在图像切片中,自动提取连接参考标记的最小曲率路径,并且沿着垂直于最小曲率路径的切线向量的平面内插横截面图像。 然后,在每个横截面图像中对与感兴趣区域对应的分割区域进行定界,并且使用该分割区域计算感兴趣区域的三维表面表示,以容易地量化诸如最大直径和 数量,感兴趣的地区。 当以不同的成像几何获取图像集时,图像集可以在分割之前进一步被共同注册,导致叠加在相同几何参考系中的图像组。