Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/11743
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dc.contributor.authorBabiker, Hind Babiker Abdualrhman
dc.contributor.authorSupervisor - Mohammed Elfadil Mohamed
dc.date.accessioned2015-11-02T11:49:14Z
dc.date.available2015-11-02T11:49:14Z
dc.date.issued2015-06-26
dc.identifier.citationBabiker,Hind Babiker Abdualrhman .Optimization of Skull X - Ray Exposure Factors/Hind Babiker Abdualrhman Babiker;Mohammed Elfadil Mohamed.-khartoum:Sudan University of Science and Technology,College of Medical Radiologic Science ,2015.-46p. :ill . ;28cm .-M.Sc.en_US
dc.identifier.urihttp://repository.sustech.edu/handle/123456789/11743
dc.descriptionThesisen_US
dc.description.abstractThe main objective of this study was to optimize exposure factors which can be used to acquire skull X-ray objectively. The data of this study collected from 50 patients examined by skull X-ray in East Nile Hospital, Modern Hospital in Khartoum – Sudan in the period from September 2014 to May 2015 using Digital Philips machine. The data were collected using five variables, they includes exposure factor ( Kv and MAs) patient height, weight, body mass index. The result of this study showed that there is no difference between male and female in respect to exposure factor. The Kv associated with the patient length and weight directly where the Kv increases by 0.033 Kv /cm and 0.044 kv/Kg respectively while the mAs correlated directly with patient length which is increases by 0.0001 mAs/cm. in conclusion this result gives a dynamic exposure factor attributed to body characteristics.en_US
dc.description.sponsorshipSudan University for Sciences and Technologyen_US
dc.language.isoenen_US
dc.publisherSudan University of Science and Technologyen_US
dc.subjectCollege of Radiologyen_US
dc.subjectUltrasounden_US
dc.subjectSkullen_US
dc.subjectExposure Factorsen_US
dc.titleOptimization of Skull X - Ray Exposure Factorsen_US
dc.title.alternative‫أمثلت عوآمل تعريض اشعت الجمجمت‬en_US
dc.typeThesisen_US
Appears in Collections:Masters Dissertations : Medical Radiologic Science

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