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公开(公告)号：US07616790B2
公开(公告)日：2009-11-10
申请号：US10535323
申请日：2003-11-13
CPC分类号： G06K9/0014 , G06T7/0012 , G06T7/62
摘要： A method of histological assessment of nuclear pleomorphism to identify potential cell nuclei divides image data into overlapping sub-images. It uses principal component analysis to derive monochromatic image data, followed by Otsu thresholding to produce a binary image. It removes image regions at sub-image boundaries, unsuitably small image regions and holes in relatively large image regions. It then reassembles the resulting sub-images into a single image. Perimeters (P) and areas (A) of image regions which are potential cell nuclei are determined and used in calculating nuclear shape factors P2/A. Nuclear pleomorphism is assessed as relatively low, moderate or high according to whether predetermined shape factor thresholds indicate a mean cell nucleus shape factor for an image is relatively low, moderate or high.
摘要翻译： 核多型的组织学评估方法，以识别潜在的细胞核，将图像数据划分为重叠的子图像。 它使用主成分分析来导出单色图像数据，其次是Otsu阈值以产生二值图像。 它在子图像边界去除图像区域，在相对较大的图像区域中移除不适当的小图像区域和孔。 然后将所生成的子图像重新组合成单个图像。 确定潜在细胞核的图像区域的周长（P）和面积（A），并用于计算核形状因子P2 / A。 根据预定形状因子阈值是否表示图像的平均细胞核形状因子相对较低，中等或高，核多形性被评估为相对低，中等或高。
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公开(公告)号：US07577280B2
公开(公告)日：2009-08-18
申请号：US10535140
申请日：2003-11-13
申请人： Christelle Marie Guittet , Paul Gerard Ducksbury , Maria Petrou , Anastasios Kesidis , Roberto Cipolla , Margaret Jai Varga
发明人： Christelle Marie Guittet , Paul Gerard Ducksbury , Maria Petrou , Anastasios Kesidis , Roberto Cipolla , Margaret Jai Varga
CPC分类号： G06K9/00127 , G01N15/1475 , G06T7/0012 , G06T2207/30024
摘要： A method of measurement of mitotic activity from histopathological specimen images initially identifies image pixels with luminances corresponding to mitotic figures and selects from them a reference pixel to provide a reference color. Pixels similar to the reference color are located; image regions are grown on located pixels by adding pixels satisfying thresholds of differences to background and image region luminances. Grown regions are thresholded in area, compactness, width/height ratio, luminance ratio to background and difference between areas grown with perturbed thresholds. Grown regions are counted as indicating mitotic figures by thresholding region number, area and luminance. An alternative method of measuring mitotic activity measures a profile of an image region and counts the image region as corresponding to a mitotic figure if its profile is above a threshold at an intensity associated with mitotic figures. A mitotic figure is also indicated if the profile does not meet the previous criterion but has three other values satisfying respective threshold criteria.
摘要翻译： 从组织病理学标本图像中测量有丝分裂活性的方法最初识别具有对应于有丝分裂图的亮度的图像像素，并从中选择参考像素以提供参考色。 位于与参考色相似的像素; 通过将满足不同阈值的像素添加到背景和图像区域亮度，在位置的像素上生长图像区域。 生长区域在面积，紧凑度，宽度/高度比，背景亮度比和扰动阈值生长区域之间的差异被阈值化。 通过阈值区域数量，面积和亮度将生长区域计数为指示有丝分裂图。 测量有丝分裂活性的替代方法测量图像区域的轮廓，并且如果其分布在与有丝分裂图相关联的强度下高于阈值，则将图像区域计数为对应于有丝分裂图。 如果轮廓不符合先前的标准，但是还有三个其他值满足相应的阈值标准，则还会显示有丝分裂图。
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公开(公告)号：US07079675B2
公开(公告)日：2006-07-18
申请号：US10524492
申请日：2003-08-08
IPC分类号： G06K9/00
CPC分类号： G06K9/00127 , Y10S128/922
摘要： A method of measuring oestrogen or progesterone receptor (ER or PR) comprises identifying in histopathological specimen image data pixel groups indicating cell nuclei, and deriving image hue and saturation. The image is thresholded using hue and saturation and preferentially stained cells identified. ER or PR status is determined from normalised average saturation and proportion of preferentially stained cells. A method of measuring C-erb-2 comprises correlating window functions with pixel sub-groups to identify cell boundaries, computing measures of cell boundary brightness and sharpness and brightness extent around cell boundaries, and comparing the measures with comparison images associated with different values of C-erb-2. A C-erb-2 value associated with a comparison image having similar brightness-related measures is assigned. A method of measuring vascularity comprises deriving image hue and saturation, producing a segmented image by hue and saturation thresholding and identifying contiguous pixels. Vascularity is determined from contiguous pixel area corresponding to vascularity expressed as a proportion of total image area.
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公开(公告)号：US20060050947A1
公开(公告)日：2006-03-09
申请号：US10535323
申请日：2003-11-13
IPC分类号： G06K9/00
CPC分类号： G06K9/0014 , G06T7/0012 , G06T7/62
摘要： A method of histological assessment of nuclear pleomorphism to identify potential cell nuclei divides image data into overlapping sub-images. It uses principal component analysis to derive monochromatic image data, followed by Otsu thresholding to produce a binary image. It removes image regions at sub-image boundaries, unsuitably small image regions and holes in relatively large image regions. It then reassembles the resulting sub-images into a single image. Perimeters (P) and areas (A) of image regions which are potential cell nuclei are determined and used in calculating nuclear shape factors P2/A. Nuclear pleomorphism is assessed as relatively low, moderate or high according to whether predetermined shape factor thresholds indicate a mean cell nucleus shape factor for an image is relatively low, moderate or high.
摘要翻译： 核多型的组织学评估方法，以识别潜在的细胞核，将图像数据划分为重叠的子图像。 它使用主成分分析来导出单色图像数据，其次是Otsu阈值以产生二值图像。 它在子图像边界去除图像区域，在相对较大的图像区域中移除不适当的小图像区域和孔。 然后将所生成的子图像重新组合成单个图像。 确定作为潜在细胞核的图像区域的周长（P）和面积（A），并用于计算核形状因子P 2 / A。 根据预定形状因子阈值是否表示图像的平均细胞核形状因子相对较低，中等或高，核多形性被评估为相对低，中等或高。
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