Fractal analysis as a method of morphometric study of linear anatomical objects: modified Caliper method

N. Maryenko, O. Stepanenko
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引用次数: 2

Abstract

The purpose of the study was to develop an original modification of the Caliper method of image fractal analysis to determine the fractal dimension of linear anatomical objects. To develop the method, the linear contour of the outer surface of the cerebral cortex was chosen as the object of study. Magnetic resonance brain images in coronal projection were used. The original modification of the Caliper method includes image analysis using Adobe Photoshop CS5 software or its analogues. The linear contour of the studied object is selected, followed by stepwise smoothing of the contour with different smoothing radius. At the 1st stage of fractal analysis smoothing is not applied, at the 2nd stage the smoothing radius is 2 pixels, the 3rd – 4 pixels, the 4th – 8 pixels, the 5th – 16 pixels. At each stage, the contour length in pixels is measured (P). The size of the fractal measurement unit (G) at the 1st stage of fractal analysis is 1 pixel, the 2nd stage – 2 pixels, the 3rd stage – 4 pixels, the 4th stage – 8 pixels, the 5th stage – 16 pixels. The contour smoothing radius, the size of the fractal measurement units and the number of stages of fractal analysis can be changed depending on the characteristics of the studied structure, size, scale and image resolution. Based on the values of the perimeter and the size of the fractal measurement units, the number of fractal measurement units covering the studied object (N) is calculated: N=P/G. The fractal dimension value is calculated based on the N and G values. The modification of the Caliper method described in this paper is automatized and does not require much time required for manual calculation. In addition, compared to the classic Caliper method, this modification is more accurate because the measurement is performed automatically. The main limitation of the developed modification is the ability to determine the fractal dimension of only closed contours of studied structures or closed linear structures, because this method involves determining the length of the closed perimeter of the selected image area. The modified Caliper method of image fractal analysis described in this paper can be used in morphology and other fields of medicine for fractal analysis of linear objects: external and internal linear contours of different anatomical structures (cerebellum, cerebral hemispheres) and pathological foci (tumors, foci of necrosis, fibrosis, etc.).
分形分析作为线性解剖对象形态计量学研究的一种方法:改进的卡尺法
本研究的目的是对图像分形分析的Caliper方法进行原始的改进,以确定线性解剖对象的分形维数。为了发展这种方法,我们选择了大脑皮层外表面的线性轮廓作为研究对象。采用冠状投影脑磁共振成像。Caliper方法的原始修改包括使用Adobe Photoshop CS5软件或其类似软件进行图像分析。选择研究对象的线性轮廓,然后用不同的平滑半径对轮廓进行逐步平滑。在分形分析的第一阶段不应用平滑,在第二阶段平滑半径为2像素,第三- 4像素,第4 - 8像素,第5 - 16像素。每一阶段以像素为单位测量轮廓长度(P)。分形分析第一阶段分形测量单位(G)的大小为1个像素,第二阶段为2个像素,第三阶段为4个像素,第四阶段为8个像素,第五阶段为16个像素。轮廓平滑半径、分形测量单元的大小和分形分析的阶段数可以根据所研究的结构、尺寸、尺度和图像分辨率的特点而改变。根据周长的值和分形测量单元的大小,计算研究对象所覆盖的分形测量单元数(N): N=P/G。分形维数是根据N和G值计算的。本文所描述的卡尺法的修改是自动化的,不需要人工计算太多的时间。此外,与经典的卡尺方法相比,由于测量是自动执行的,因此这种修改更准确。所开发的修改的主要限制是只能确定所研究结构的封闭轮廓或封闭线性结构的分形维数,因为这种方法涉及确定所选图像区域的封闭周长。本文描述的改进的图像分形分析的Caliper方法可用于形态学和其他医学领域对线性物体进行分形分析:不同解剖结构(小脑、大脑半球)和病理病灶(肿瘤、坏死灶、纤维化灶等)的外部和内部线性轮廓。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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