قسم الهندسة النووية

المزيد ...

حول قسم الهندسة النووية

تم إنشاء قسم الهندسة النووية كأحد أقسام كلية الهندسة عام 1974م وتم قبول أول دفعة في العام الدراسي 1977م كما شهد عام 1981م تخريج أول دفعة. ويهدف قسم الهندسة النووية وهو القسم الوحيد بالجامعات الليبية إلى إعداد الكفاءات العلمية المؤهلة والقادرة على استيعاب التطورات التي تحدث في مجال العلوم النووية المساهمة في إدخال أساليب التقنية النووية وتطويعها للاستخدامات السلمية في كافة المجالات ذات العلاقة.

شعب القسم: يضم القسم حالياً شعبتين هما:  شعبة الطاقة وتهتم باستخدامات المفاعلات النووية. وشعبة التطبيقات الإشعاعية وتهتم بتطبيقات الإشعاع النووي .

حقائق حول قسم الهندسة النووية

نفتخر بما نقدمه للمجتمع والعالم

9

المنشورات العلمية

12

هيئة التدريس

109

الطلبة

0

الخريجون

من يعمل بـقسم الهندسة النووية

يوجد بـقسم الهندسة النووية أكثر من 12 عضو هيئة تدريس

staff photo

د. كريمة محمد علي المصري

منشورات مختارة

بعض المنشورات التي تم نشرها في قسم الهندسة النووية

A Comparative Study Using Monte Carlo Codes for the Simulation of Photons Emitted by the Elekta Sl-25 Linear Accelerator at the Tripoli Medical Center

Abstract: A 6MV and 15MV electron beams produced by the Elekta precise SL-25 linear accelerator at the Tripoli Medical Center (TMC) were modeled using the MCNP-4C code. Firstly the photon beam energies are tuned by comparison to experimental results previously performed at the TMC. Only the beam energy of the 6MV is modified to 6.2MV. Secondly the percent depth dose curves and beam profiles are calculated for the two energies in different field sizes in the water phantom. Matching with experiment is within an acceptable published allowance of 2%. The distances at which the maximum depth dose in the water phantom is reached are calculated as (1.5cm -1.7cm) for the 6.2MV setting and (2.7cm-3cm) for the 15MVsetting.
خديجة عمر بن ابراهيم (2011)
Publisher's website

Evaluation of vertebral fracture assessment images for the detection of abdominal aortic calcification

Dual-energy x-ray absorptiometry (DXA) is an established modality for the assessment of bone mineral density. DXA has also been used for the detection of abdominal aortic calcification (AAC) using lateral images taken for vertebral fracture assessment (VFA). In this phantom study, the capability of VFA for the detection of AAC was investigated. A Perspex phantom of variable width in the range 15-30 cm was used to simulate abdominal soft tissue. Aluminium strips of thickness 0.05-2.0 mm were sandwiched between two halves of the phantom to mimic aortic calcification. VFA images of the phantom were acquired in single-energy mode and analysed by placing regions of interest over the aluminium strip and an adjacent area of Perspex. For each phantom width, the minimum detectable aluminium thickness was assessed visually and related to contrast-to-noise ratio (CNR). Linearity of pixel value with aluminium thickness was tested by linear regression and correlation. Repeatability was measured with five repeated scans for selected phantom configurations. The minimum thickness of aluminium that could be visualised increased with phantom width and varied from 0.05 mm at 15 cm Perspex to 0.5 mm at 30 cm Perspex; the CNR threshold was about 0.03. At all phantom widths, the variation of pixel value with aluminium thickness was strongly linear (r²>0.98, p
Karima Elmasri, William David Evans, Yulia Hicks(6-2017)
Publisher's website

A robust technique for detecting abdominal aortic calcification using dual energy x-ray absorptiometry

BACKGROUND: Abdominal aortic calcification (AAC) is a marker of atherosclerosis and a predictor of subsequent vascular disease. To date, there has been little research into the automatic detection and quantification of AAC. METHODS: In this study, lateral dual energy X-ray absorptiometry (DXA) scans are used to detect AAC; this is possible because of the anatomical position of the abdominal aorta anterior to the lumbar spine. The deformable shape modelling techniques active shape (ASM) and active appearance (AAM) models are used to model the calcified aorta and four vertebrae of the lumbar spine L1-L4. RESULTS: ASM and AAM were trained and tested on 14 DXA images. The shape of both calcified aorta and four lumbar vertebrae were extracted automatically from the DXA scans using combined shape and appearance models. CONCLUSION: ASM and AAM were implemented successfully. The calcified aorta obtained from the DXA scans was segmented using this modelling technique. The next step is to develop a new automated method to quantify the calcification within the aorta. arabic 13 English 89
Karima Elmasri(6-2015)
Publisher's website