期刊名称：International Journal of Computer Science & Information Technology (IJCSIT)
印刷版ISSN：0975-4660
电子版ISSN：0975-3826
出版年度：2013
卷号：5
期号：1
页码：39
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：The purpose of this study is to identify and quantify the neurovascular risk factors for foot problems inpatients with diabetes mellitus, which is a major public health concern these days. The most feared factoramong the diabetic patients is lower extremity amputation. The sequence of events leading to amputation isinitiated by ulceration combined with sensation loss. To prevent complications and amputations it isnecessary to detect the foot at risk of plantar ulceration at an early stage of sensation loss. Doctors useimaging test to determine whether the plantar ulceration has spread to upper areas in the leg, and toevaluate the size and location of the ulcer. To locate the ulceration area and assess the severity, doctor’suses an imaging technology, such as ultrasound, fluoroscopy, a computed tomography (CT or CAT) scan,x-ray, or a magnetic resonance imaging (MRI) test, this procedure is called as an image-guided biopsy. Toaccess the severity of foot ulcer, a new method is introduced, which is a popular edge detection method.This method is known as Sobel method, which uses edge detection function for derivative approximation tofind edges. The Sobel edge method returns edges at those points where the gradient of the consideredimage is maximum, so the recognition of risk factors will be analyzed in efficient manner. Based on theseverity of foot ulcer, preventive foot maintenance and regular foot examinations will take place in diabetespatients.
