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Characterization of Normal Kidney Texture Measurements in Sudanese Population Using Magnetic Resonance Images.

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dc.contributor.author HASSIB, MAZIN BABIKIR ABDULLAH
dc.contributor.author Supervisor-MOHAMMAD ELFADIL MOHAMMAD GARELNABI
dc.date.accessioned 2015-02-05T12:14:56Z
dc.date.available 2015-02-05T12:14:56Z
dc.date.issued 2014-11-01
dc.identifier.citation HASSIB , MAZIN BABIKIR ABDULLAH . Characterization of Normal Kidney Texture Measurements in Sudanese Population Using Magnetic Resonance Images/ MAZIN BABIKIR ABDULLAH HASSIB ; MOHAMMAD ELFADIL MOHAMMAD GARELNABI .- Khartoum : Sudan University of Science and Technology , Medical Radiologic, 2014.- 57p. : ill . ; 28cm .-M.Sc. en_US
dc.identifier.uri http://repository.sustech.edu/handle/123456789/10318
dc.description Thesis en_US
dc.description.abstract Knowledge of kidney character is important for clinical assessment of renal disease. The aims of this study were to establish a normal range of values for kidney length, volume and texture in normal Sudanese adults with no known history of renal disease and determine the usefulness of body mass index (BMI), body surface area (BSA), Glomerular filtration rate (GFR), Total body water (TBW), Creatinin Clearance (CrCl), Serum Creatinin Level (SrCr) for prediction of kidney characters. The kidney volume and length were measured using Disc Summation Method and the relations between the variables were studied. This study confirm that there is significant relation between the CrCl, GFR, and serum Creatinin level with BSA, BMI, TBW, weight, gender and age and revealed that the kidney volume predicted the renal function significantly at=0.005, for SCr P-value=0.056, 0.007, CrCl P-value = 0.054, 0.043 and GFR P-value=0.051 ,0.59 for right and left kidneys volume . Also in this study is to characterization of normal renal tissues in MRI images for Sudanese population using texture analysis. The renal tissues were classified into three classes as, cortex, medulla and pelvis using SGLD. The sample consisted of 100 patients where the ROI were located by expert. A window size range from 5×5 to 20 × 20 pixels steps 5 was used to extract the textural feature from the ROI. The overall classification accuracy using linear discriminate analysis was 88.6% for the window 20 × 20 pixels. en_US
dc.description.sponsorship Sudan University of Science and Technology en_US
dc.language.iso other en_US
dc.publisher Sudan University of Science and Technology en_US
dc.subject Diagnostic Radiological Technology en_US
dc.subject Normal Kidney Texture Measurements en_US
dc.subject Sudanese Population en_US
dc.subject Magnetic Resonance Images en_US
dc.title Characterization of Normal Kidney Texture Measurements in Sudanese Population Using Magnetic Resonance Images. en_US
dc.title.alternative تميز الكُلى الطبيعية بإستخدام القياسات والتحليل النسيجي للسودانين في صور الرنين المغنطيسي . en_US
dc.type Thesis en_US


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