Early detection study of Kidney Organ Complication caused by Diabetes Mellitus using iris image color constancy

Agus Hadi Prayitno, A. Wibawa, M. Purnomo
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引用次数: 11

Abstract

Diabetes Mellitus is now becoming a mass silent killer in the society because it does not show any signs previously to the patients until it has been in the dangerous level. Most people just realize their diabetic condition when the stage was already too late. In many cases, Diabetes Mellitus causes many complications to other organs, such as kidney, cardiovascular, liver or blood pressure. This study is analyzing the early stage of kidney complication caused by Diabetes Mellitus by analyzing iris image of the patient. Nowadays, there have been several tools that can be used to analyze the condition of patient kidney including blood test. However, a new approach is needed for a faster, simpler and non-invasive detection system. Iridology is a new branch of science that studying the condition of human organ via iris image. Based on Iridology, the structures of iris fibers are relating to the condition of certain organ in human body. This study is exploring the relationship of Kidney organ complication with the iris fibers structures (image of iris) and validated the result with patient's medical records. An existing iris chart introduced by Bernard Jensen was used to analyze the Kidney organ condition. The location of kidney organ in iris is at 200° – 210° when image of iris was devided by 360°. Image of iris was taken by using a specific iris camera. Region of interest (ROI) was then determined by using the iris chart. Color constancy and independent component analysis were used to analize the ROI of iris image. Broken tissue in iris image would be the feature for detecting the complication of kidney organ. From 47 participants, the result showed that 76% of participants showing a relation of kidney' complication with their iris image. This result conclude that iris image analysis can be used as an alternative way in monitoring the condition of internal organ such as kidney's complication.
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应用虹膜图像颜色恒常性早期检测糖尿病肾器官并发症的研究
糖尿病已经成为社会上的一大无声杀手,因为患者在发病前没有任何征兆,直到达到危险的程度。大多数人意识到自己的糖尿病病情时,已经太晚了。在许多情况下,糖尿病会引起其他器官的并发症,如肾脏、心血管、肝脏或血压。本研究通过分析患者的虹膜图像,分析糖尿病肾病的早期并发症。目前,已经有几种工具可以用来分析病人的肾脏状况,包括血液检查。然而,需要一种新的方法来实现更快、更简单和无创的检测系统。虹膜学是通过虹膜图像研究人体器官状况的一门新兴学科。基于虹膜学,虹膜纤维的结构与人体某些器官的状况有关。本研究旨在探讨肾器官并发症与虹膜纤维结构(虹膜图像)的关系,并结合患者病历验证结果。使用Bernard Jensen引入的现有虹膜图来分析肾脏器官状况。当虹膜图像被360°分割时,肾器官在虹膜中的位置在200°- 210°。利用专用的虹膜相机对虹膜进行成像。然后利用虹膜图确定感兴趣区域(ROI)。采用颜色恒定性和独立分量分析法对虹膜图像进行ROI分析。虹膜图像中的组织破裂是检测肾脏并发症的重要特征。在47名参与者中,结果显示76%的参与者表现出肾脏并发症与虹膜图像的关系。结果表明,虹膜图像分析可作为监测肾脏等脏器并发症的一种替代方法。
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