Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/25003
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dc.contributor.authorKafee, Nawf Hassan Koah-
dc.contributor.authorSupervisor, -Hussein Ahmed Hassan-
dc.date.accessioned2020-09-09T06:57:36Z-
dc.date.available2020-09-09T06:57:36Z-
dc.date.issued2019-07-29-
dc.identifier.citationKafee, Nawf Hassan Koah .Estimation of Radiation Effective dose for pediatric patients in Brain Computed tomography \ Nawf Hassan Koah Kafee ; Hussein Ahmed Hassan .- Khartoum:Sudan University of Science and Technology,College of Medical Radiologic Science,2019.-35 p.:ill.;28cm.-M.Sc.en_US
dc.identifier.urihttp://repository.sustech.edu/handle/123456789/25003-
dc.descriptionThesisen_US
dc.description.abstractComputed Tomography (CT) of the pediatric for brain it used increasingly. Particularly in oncological patients. How to use CT scan rightly and to reduce the radiation dose as much as possible have been the critical issues of concern in the field of clinical imaging technology. In diagnostic radiology, periodic dose assessments are carried out to encourage the optimization of the radiation protection of patients. This study estimated radiation dose to 51st pediatric patients in Modern Medical Center by undergoing GE Optima CT250 series - 16 slices. The result of this study the Linear Regression equation between CTDIvol and SSDE which is SSDE = -0.002+0.93(CTDIvol) And mean ± SD for effective dose it’s 49.69 msv ± 29.82 msv comparing with Korean stander which is 1.5 msv ± 0.2 msv it’s high . This study concludes to deference referring to not used pediatrics protocol.en_US
dc.description.sponsorshipSudan University of Science & Technologyen_US
dc.language.isoenen_US
dc.publisherSudan University of Science and Technologyen_US
dc.subjectMedical Radiologic Sciencesen_US
dc.subjectMedical Physicsen_US
dc.subjectRadiation Effective doseen_US
dc.subjectRadiation Effective doseen_US
dc.titleEstimation of Radiation Effective dose for pediatric patients in Brain Computed tomographyen_US
dc.typeThesisen_US
Appears in Collections:Masters Dissertations : Medical Radiologic Science

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