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A comparative study of histogram-based thresholding methods for the determination of cell-free layer width in small blood vessels

机译:基于直方图的阈值法确定小血管无细胞层宽度的比较研究

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We have recently proposed a computer-based method utilizing a thresholding algorithm (the Otsu method) to provide a convenient way of measuring the cell-free layer width in vivo and in vitro. However, this method does not seem to be a universal method that can be applied to all microvascular studies. Thus, we examined four different histogram-based thresholding algorithms (Otsu, intermode, minimum and second peak) to provide a technical suggestion on the selection of a suitable thresholding algorithm for the cell-free layer measurement. All the measurements were taken in microvascular flows in the rat cremaster muscle recorded with a high-speed camera. The width of the cell-free layer manually measured was compared with that determined by the automated method utilizing the four thresholding algorithms. With our experimental system, results showed that the cell-free layer width determined by the minimum algorithm was in best accordance with the manual measurement. We concluded that the accuracy of the automated methods for determination of the cell-free layer width would depend on the image quality, in particular on the contrast between the red blood cell core and background, which might differ due to the different microscopic setup. Therefore, one may need to examine several appropriate thresholding methods when selecting the best suitable algorithm for the experimental conditions.
机译:我们最近提出了一种使用阈值算法的基于计算机的方法(Otsu方法),以提供一种方便的方法来测量体内和体外的无细胞层宽度。但是,该方法似乎不是可以应用于所有微血管研究的通用方法。因此,我们研究了四种不同的基于直方图的阈值处理算法(Otsu,互模,最小和第二峰值),为选择适合的无细胞层测量阈值算法提供了技术建议。所有测量均在高速相机记录的大鼠提睾肌微血管血流中进行。将手动测量的无细胞层的宽度与通过使用四种阈值算法的自动化方法确定的宽度进行比较。在我们的实验系统中,结果表明,由最小算法确定的无单元层宽度最符合手动测量。我们得出的结论是,确定无细胞层宽度的自动化方法的准确性将取决于图像质量,特别是取决于红血细胞核心和背景之间的对比度,这可能因显微设置不同而有所不同。因此,在为实验条件选择最合适的算法时,可能需要检查几种合适的阈值方法。

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