Fractal Dimension with Object Rotation: A Case Study with Glaucoma Eye

Dharmanna Lamani, T. Manjunath, Ramegowda
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引用次数: 12

Abstract

The present research work explores application of perimeter method to determine fractal dimension for both glaucoma and non glaucoma eye. Fractal dimension is a real value treated as over simplified diagnostics parameter to determine earlier detection of glaucoma. A perimeter method is a well known method adopted to determine the fractal dimension of natural objects such as leaves and some biological organs. But no attempt has been made to consider importance of selecting an initial point and rotation of object to determine the fractal dimension. Hence this work explains procedure to determine fractal dimension considering rotation of object and selecting the initial point. The results obtained signify that rotation of object and selecting the initial point definitely influences fractal dimension for glaucoma eye, as found in this present case study. The fractal dimension found to be lesser for glaucoma eye because of attaining regular shape of optic cup and it is accounted by losses of optic nerve and blood vessels in different stages. The fractal dimension could be treated as an alternative method for manual deduction of glaucoma through cup-disc diameter ratio by ophthalmologist. The author concludes that as soon as eye attacked by glaucoma disease, fractal dimension starts to decrease leading to lesser values. The fractal dimension values found to be in the range of 1.4242 to 1.5986 for glaucoma and for non glaucoma 1.8643 to 2.3027. Hence fractal dimension as soon as it reaches 1.5986 (1.6) signifies earlier detection of glaucoma. The rotation of object also considered in the interval of 600 (00 to 3000) to determine the fractal dimension. One more finding is that transforming from irregular shape of optic cup to regular shape from non-glaucoma to glaucoma could be visualized in different stages of images, under section four.
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物体旋转的分形维数:以青光眼为例
本研究探讨了周长法在青光眼和非青光眼分形维数测定中的应用。分形维数是一个实值,作为过度简化的诊断参数,用于青光眼的早期诊断。周长法是确定自然物体(如树叶和某些生物器官)分形维数的一种众所周知的方法。但是没有考虑初始点的选取和物体的旋转对确定分形维数的重要性。因此,本文阐述了考虑物体旋转和初始点选择的分形维数的确定过程。结果表明,物体的旋转和初始点的选择对青光眼的分形维数有一定的影响。青光眼的分形维数较小是由于视神经杯形状的规整,其分形维数的减少与视神经和视血管在不同阶段的损失有关。分形维数可作为眼科医生通过杯盘直径比手工推断青光眼的替代方法。作者认为,一旦患上青光眼,分形维数就开始下降,导致分形维数减小。青光眼的分形维数为1.4242 ~ 1.5986,非青光眼的分形维数为1.8643 ~ 2.3027。因此分形维数一旦达到1.5986(1.6),说明青光眼早发现。物体的旋转也考虑在600(00 ~ 3000)的区间内来确定分形维数。另一个发现是,从不规则形状的视杯到规则形状的视杯,从非青光眼到青光眼的转变可以在图像的不同阶段可视化,见第4节。
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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