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首页> 外文会议>IEEE International Symposium on Biomedical Imaging: From Nano to Macro >Detection of hematopoietic stem cells in microscopy images using a bank of ring filters
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Detection of hematopoietic stem cells in microscopy images using a bank of ring filters

机译：使用一堆环形滤光片在显微镜图像中检测造血干细胞

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摘要

We present a method for robustly detecting hematopoietic stem cells (HSCs) in phase contrast microscopy images. HSCs appear to be easy to detect since they typically appear as round objects. However, when HSCs are touching and overlapping, showing the variations in shape and appearance, standard pattern detection methods, such as Hough transform and correlation, do not perform well. The proposed method exploits the output pattern of a ring filter bank applied to the input image, which consists of a series of matched filters with multiple-radius ring-shaped templates. By modeling the profile of each filter response as a quadratic surface, we explore the variations of peak curvatures and peak values of the filter responses when the ring radius varies. The method is validated on thousands of phase contrast microscopy images with different acquisition settings, achieving 96.5% precision and 94.4% recall.
机译：我们提出了一种在相衬显微镜图像中稳健地检测造血干细胞（HSC）的方法。 HSC似乎易于检测，因为它们通常显示为圆形物体。但是，当HSC接触并重叠时，显示出形状和外观的变化，诸如Hough变换和相关性之类的标准模式检测方法就不能很好地执行。所提出的方法利用了应用于输入图像的环形滤波器组的输出模式，该环形滤波器组由一系列具有多个半径环形模板的匹配滤波器组成。通过将每个滤波器响应的轮廓建模为二次曲面，我们研究了当圆环半径变化时，滤波器响应的峰曲率和峰值的变化。该方法在具有不同采集设置的数千个相衬显微镜图像上得到了验证，达到了96.5％的精度和94.4％的查全率。

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