Background: Fatty liver occurs due to the excess fat in liver cells. The patient has a fatty liver when fat makes up at least 5% of the liver, benign condition of simple fatty liver usually does not lead to liver damage, while accumulation of large amount of simple fat may lead to scarring, inflammation and fibrosis of the liver. Nonalcoholic fatty liver disease (NAFLD) is the most common chronic liver disease in developed as well as developing countries. The matter of the association between liver disease and diabetes mellitus is surging all over the world. Aim of study:To estimate the frequency and distribution of fatty liver disease in children and adolescents with type 1 diabetes mellitus.Patients and methods: Fifty children and adolescents with type 1 diabetes with mean age 10.5 ± 4.011 in range (3-18) year who were followed up in the diabetic clinic of Children Welfare Teaching Hospital in Baghdad have been examined to detect fatty liver disease, from 1st of June 2016 to 1st of December 2016. History was taken, physical examination was performed, and liver function tests, fasting lipid profile, HbA1C, and ultrasound of the liver were done. And by applying the NAFLD fibrosis scoring formula there were three groups of patients (F0-F2) with no fibrosis, (F2-F3) with intermediate score of fibrosis and (F3-F4) with presence of fibrosis.Results: There were 50 patients with type 1 DM included in this study; thirty females and 20 males. Thirteen (26%) of them have hepatomegaly while 37 (74%) with normal liver size and texture as detected by abdominal ultrasound. According to the result of NFS (NAFLD fibrosis score) formula and abdominal ultrasound, 5 (38.5%) of the patients with hepatomegaly showed presence of fibrosis, 5 (38.5%) showed intermediate score, while 3 (23%) showed no fibrosis which represent the false negative value while the patients with normal liver 27 (73%) showed no fibrosis and 10 (27%) showed intermediate score which represent the false positive value. Conclusion:The study clarified that the prevalence of fatty liver disease among type 1 diabetic patients was 10% depending on abdominal ultrasound, lipid profile, liver enzymes and NAFLD fibrosis scoring formula.
New Multi-Dimensional Fractal was introduced to improve and enhance the images. Different images with low gray levels were enhanced by applying the suggested enhancement model. The improvement brought a 97% rate in PNSR and a 95% rate in RMSD.Digital image processing is a field that is included in many journals due to its importance and the fact that it facilitates the achievement of many scientific and engineering applications worldwide. This specialization is linked with other disciplines, whether medical, engineering, sports, and others, as it facilitates the completion of applications quickly and efficiently. Researchers have discovered and garnered notice as a promising analytic tool in image processing using the idea of fractal dimension. In this effort, a new Multi-Dimensional Fractal (MDF) in view of the rectangle function was introduced a. As an application, the MDF to improve and enhance the images was employed, and found that there is a connection between MDF and image processing, where the self-similarity property, for example, is one of several features in the new definition. Other properties are discussed in the sequel, including image noise reduction. The presence of noise is responsible for properly operating these images in various applications. Several academics have created and applied a strategy for minimizing noise in features multiplicatively throughout the last several years. The outcomes reveal that the proposed strategy is successful. The method is based on the definition of the rectangular function (the elementary component of all digital signals, videos, and images), where this function indicates a rectangular-formed rhythm that is concentrated at the origin. For example, the suggested process received a rate of 97% for PNSR and 95% for RMSD.
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