Document Details

Document Type : Thesis 
Document Title :
SPECKLE REDUCTION IN MEDICAL ULTRASOUND IMAGING
تقليل الترقيط في التصوير الطبي بالموجات فوق الصوتية
 
Subject : Faculty of Engineering 
Document Language : Arabic 
Abstract : In the past few years, one of the most attracted and search topics within medical imaging is the speckle phenomenon that and highly affects the ultrasound images and generate a negative impact on diverse image interpretation tasks. Recently, huge and remarkable effort have been performed in order to develop an effective denoising method. Although some noticeable and obvious results have been achieved toward speckle reduction and noise enhancement effectiveness. However, many of the proposed and developed still suffer low computational efficiency, image features damaging and characterised also by low speckle reduction. Thus, this paper mainly presents a new method of speckle reduction in medical ultrasound imaging utilizing an effective and optimized acquisition /post – processing combination technique. Within this manuscript, the developed approach consists of three main stages, in which the first stage applied to select the datasets (speckle ultrasound images) and proceed to the next stages. At stage 2, the optimized post – processing commination approach is applied as an improved reducing technique, where several filters can be applied to real datasets including median filter, hybrid median, lee, kuan, frost, lee diffusion and anisotropic diffusion filter. Stage 3 is significant to show the result and histogram of the developed technique. Finally, the performance of the proposed method will be contacted using qualitative and quantitative measures, which demonstrate strong denoising capability and image details preserving than many previously proposed methods of speckle reduction. 
Supervisor : Dr. Yasser Kaddah 
Thesis Type : Master Thesis 
Publishing Year : 1442 AH
2020 AD
 
Added Date : Monday, August 31, 2020 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
احمد سعيد بافرجBafraj, Ahmed SaeedResearcherMaster 

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