dc.contributor.author |
HASSIB, MAZIN BABIKIR ABDULLAH |
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dc.contributor.author |
Supervisor-MOHAMMAD ELFADIL MOHAMMAD GARELNABI |
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dc.date.accessioned |
2015-02-05T12:14:56Z |
|
dc.date.available |
2015-02-05T12:14:56Z |
|
dc.date.issued |
2014-11-01 |
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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 |
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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 |