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رسائل دكتوراة الانجليزية 2021 f4e3bef4-ba34-49e5-b31a-f5f568a01f2d

Characterization of White Matter Lesions on Brain Magnetic Resonance Images Using Texture Analysis

توصيف اصابات النسيج الأبيض في صور الرنين المغنطيسي للمخ باستخدام التحليل الملمسي

Mohammed Elfadil Mohammed , Sarah Suliman Mohammed Elhassan

كلية علوم المختبرات الطبية-جامعة السودان للعلوم والتكنولوجيا · السودان

الموضوعات

طب

الملخص

Texture analysis studies have been increasingly explored IN neuroradiology in the recent years, as it enabling diseases characterization and quantification of disease distribution. The aim of this study was to characterize white matter lesions on the brain in MR images using texture analysis. This analytical study had been conducted at Antalya medical center in the period from October 2018 to March 2021by using study of 1646 brain MR images selected conveniently for patients having Glioma, Multiple Sclerosis (MS) and Small Vessels Diseases (SVD) , then these images entered to interactive data language program to extract the textural features from the normal tissues and the white matter lesions, then these extracted features entered to statistical package social science for analysis. And the results reveal that; the best textural features for discrimination of the Glioma from the normal tissues in all MR imaging sequences were the mean, entropy, Gray-LevelNonuniformity and Run-Length Nonuniformity. While for the MS plaques the features were the mean, variance, entropy and Run Percentage textural features. Also the best features for differentiation the SVD from normal tissues in all MRI sequences were the mean, variance, energy, entropy, Gray-Level Nonuniformity and Run Percentage. Inconclusion texture analysis statistics successfully discriminate the white matter lesions from normal brain tissues in all MRI sequences, firstly when using the first order statistics on the Glioma, MS and SVD the imaging sequence that shows the highest sensitivity in discrimination the lesion from normal tissues were T2=98.2%, T1+C=99.3% andT1+C=97.5% respectively; and when using the higher order statistics the highest sensitivity were in T1+C=93.6%, T1+C=99.3% and T1=97.5%correspondingly.

التعريف والنوع

رقم الوثيقة
f4e3bef4-ba34-49e5-b31a-f5f568a01f2d
رقم العقد
0
نوع الوسائط
Crawler
نوع المحتوى
الرسائل العلمية
صيغة المصدر
رسائل دكتوراة
نوع الملف
pdf text
أسماء الملفات
2188108_1.pdf

بيانات النشر

ترجمة العنوان
توصيف اصابات النسيج الأبيض في صور الرنين المغنطيسي للمخ باستخدام التحليل الملمسي
ألقاب المؤلفين
[{"name_ar":"Mohammed Elfadil Mohammed ","title_ar":"اشراف","title_en":"Supervision"},{"name_ar":"Sarah Suliman Mohammed Elhassan","title_ar":"اعداد","title_en":"Preparation"}]
اللغة
English

المصدر والدورية

اسم المصدر
Characterization of White Matter Lesions on Brain Magnetic Resonance Images Using Texture Analysis

المحتوى والصفحات

عدد الصفحات
0
كلمات الباحثين
Medical Radiologic Sciences Diagnostic Radiological Imaging Matter Lesions Texture Analysis

إشراف وإعداد

الإشراف
Mohammed Elfadil Mohammed
الإعداد
Sarah Suliman Mohammed Elhassan

الاقتباسات الببليوغرافية

APA

Mohammed Elfadil Mohammed و Sarah Suliman Mohammed Elhassan. (2021). Characterization of White Matter Lesions on Brain Magnetic Resonance Images Using Texture Analysis. أطروحة(رسائل دكتوراة). كلية علوم المختبرات الطبية-جامعة السودان للعلوم والتكنولوجيا. السودان.

MLA

Mohammed Elfadil Mohammed و Sarah Suliman Mohammed Elhassan. Characterization of White Matter Lesions on Brain Magnetic Resonance Images Using Texture Analysis. 2021. كلية علوم المختبرات الطبية-جامعة السودان للعلوم والتكنولوجيا، رسائل دكتوراة.