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dc.contributor.authorAli, Mazin Mustafa Mohamed
dc.contributor.authorSupervisor - Mawia Ahmed Hassan
dc.date.accessioned2015-01-08T07:38:38Z
dc.date.available2015-01-08T07:38:38Z
dc.date.issued2014-01-11
dc.identifier.citationAli,Mazin Mustafa Mohamed .Assessment the Effect of HIV\AIDS on Human Brain Using MRI/Mazin Mustafa Mohamed Ali;Mawia Ahmed Hassan.-khartoum:Sudan University of Science and Technology,College of Engineering,2014.-116p:ill;28cm.-M.Sc.en_US
dc.identifier.urihttp://repository.sustech.edu/handle/123456789/9676
dc.descriptionThesisen_US
dc.description.abstractHuman 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. Researchers have found significant damage in the brains of HIV-positive patients whose viral load is effectively suppressed by anti-retroviral therapy; 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 thesis is to is to develop an algorithm which can be used to explore the effect of HIV/AIDS on human brain based on MRI images, Compare the variations of brain cells between normal and abnormal cases and selecting the proper statistical features. Ten positive HIV/AIDS patients -provided written consent-, with detailed medical history was obtained, On the other hand the same number of cases, gender, age, of negative HIV volunteers, Participate this study at Royal Care International Hospital, Khartoum, Sudan. In this study, we presented a statistical based method to assess and analyze given MR brain images, it proves that the effectiveness of seventeen’s of statistical features derived from forty of statistical features for assessment the normal and abnormal brain tissues on digital MRI. XIX The statistical features achieved the best results which used for implementation algorithm for brain cell 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%.en_US
dc.description.sponsorshipSudan University of Science and Technologyen_US
dc.language.isoenen_US
dc.publisherSudan University of Science and Technologyen_US
dc.subjectEvaluation of HIV effecten_US
dc.subjectBiomedical Engineeringen_US
dc.subjectAIDSen_US
dc.subjectBrain Humanen_US
dc.subjectAaltsoar MRIen_US
dc.titleAssessment the Effect of HIV\AIDS on Human Brain Using MRIen_US
dc.title.alternativeتقييم تأثير فيروس نقص المناعة البشرية\الأيدز على الدماغ البشري عن طريق التصوير بالرنين المغناطيسيen_US
dc.typeThesisen_US
Appears in Collections:Masters Dissertations : Engineering

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