Scientific papers details

  • Studying the Effect of HIV/AIDS on Human Brain Using MRI
  • year : 2015
  • How to cite : , 2015 , 6 (3) ,pp: 209-216
  • Abstract : ó Human immunodeficiency virus (HIV) belongs to a subset of retroviruses called lentiviruses (or slow viruses), which means that there is an interval between the initial infection and the onset of symptoms. Upon entering the bloodstream, HIV infects the CD4+ T cells and begins to replicate rapidly. Acquired immunodeficiency syndrome (AIDS) is the final stage of HIV infection. The brain may be affected by a variety of abnormalities in association with HIV infection. About these issues, Researchers have found significant damage in the brains of HIV-positive patients whose viral load is effectively suppressed by anti-retroviral therapy. In one of the first studies of its kind, researchers from the San Francisco Veterans Affairs Medical Center (SFVAMC) used a combination of MRI brain imaging, recording of electrical brain activity, and behavioral tests to compare the size and function of brains of HIV-positive patients on antiretroviral therapy with those of healthy subjects.; The results of our study raise the concern of brain injury in HIV subjects who are on treatment, even among those who are virally suppressed [12],But It is unclear how HIV causes such brain injury. Understanding these mechanisms is important to develop appropriate neuro-protective interventions for those people in Sudan, Africa and all over the world. The main core of this paper is to develop an algorithm which can be used to explore the effect of HIV/AIDS on human brain based on Magnetic Resonance Image (MRI) images, Compare the variations of brain cells between normal and abnormal cases and selecting the proper statistical features. This study, presented a statistical based method to study and analyze given MR brain images, statistical analysis using Statistical Package for the Social Sciences (SPSS) proves that the effectiveness of seventeenís of statistical features derived from forty of statistical features for assessment the normal and abnormal brain tissues on digital MRI. The statistical features achieved the best results which used for implementation algorithm for brain areas changes detection for positive HIV patients in comparison to negative cases with sensitivity of 83.1%, specificity of 88.1% , positive predictive of 87.5%, negative predictive of 83.9% and the overall performance of 85.6%. In this study, a computer-aided diagnostic system based on statistical features, used to study the effects of HIV on human brain in the digital MRI studies. This study shows the effectiveness of seventeenís features derived from forty of statistical features for assessment the normal and abnormal brain tissues on digital MRI.
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