Automatic Data Extraction of Liver in Computed Tomography Images Using Segmentation Technique

الموضوعات

طب

الملخص

Advanced techniques of image processing and analysis find widespread use inmedicine. In medical applications, image data are used to gather details regardingthe process of patient imaging whether it is a disease process or a physiologicalprocess. Unfortunately, the presence of speckle noise in these images affects edgesand fine details which limit the contrast resolution and make diagnostic moredifficult. This experimental study was conducted in College of MedicalRadiological Science and Fadil Specialist Hospital. The sample of study wasincluded 50 patients. The main objective of this research was to study an accurateliver segmentation method using a parallel computing algorithm using imageprocessing technique. The data analyzed by using MatLab program to enhance thecontrast within the soft tissues, the gray levels in both enhanced and unenhancedimages and noise variance. The main techniques of enhancement used in this studywere watershed Segmentation Algorithm. In this thesis, prominent constraints arefirstly preservation of image's overall look; secondly preservation of the diagnosticcontent in the image and thirdly detection of small low contrast details in diagnosticcontent of the image. The results of this technique was segmentation of liversuccessfully based on the methods of enhance the computed tomography images.This approach of image processing is funded on an attempt to interpret the problemfrom the view of blind source separation (BSS), thus to see the liver image as asimple mixture of (unwanted) background information, diagnostic information andnoise.

روابط وملفات

التعريف والنوع

رقم الوثيقة

eb900e69-4cd9-4ab3-aa96-f805592f0de2

رقم العقد

0

نوع الوسائط

Crawler

نوع المحتوى

الرسائل العلمية

صيغة المصدر

رسائل ماجيستير

نوع الملف

pdf text

أسماء الملفات

24378_1.pdf

بيانات النشر

ترجمة العنوان

استخراج البيانات التلقائي للكبد في صور الأشعة المقطعية بالكمبيوتر باستخدام تقنية التجزئة

ألقاب المؤلفين

[{"name_ar":" Mashal Mohamed Ahmed Abdallah","title_ar":"اعداد","title_en":"Preparation"},{"name_ar":"Yousif Mohamed Yousif Abdallah ","title_ar":"اشراف","title_en":"Supervision"}]

اللغة

English

المصدر والدورية

اسم المصدر

Automatic Data Extraction of Liver in Computed Tomography Images Using Segmentation Technique

المحتوى والصفحات

عدد الصفحات

0

إشراف وإعداد

الإشراف

Yousif Mohamed Yousif Abdallah

الإعداد

Mashal Mohamed Ahmed Abdallah

الاقتباسات الببليوغرافية