Muhammad Ali Muhammad Rushdi <br/><br/>
Speckle reduction in medical ultrasound images using weighted diffusion , neural networks and fuzzy logic /  
 خفض الترقيط فى صور الموجات فوق الصوتية الطبية باستخدام التخلل الموزون و الشبكات العصبية و المنطق المشوش 
Muhammad Ali Muhammad Rushdi ; supervised Abu Bakr Mohamed Yousef , Ahmed Mohamed Badawi 
 - Cairo :   Muhammad Ali Muhammad Rushdi ,   2005 
 - 98P :   ill , diagrs ;   30cm 
<br/><br/>Thesis (M.Sc.) - Cairo University - Faculty Of Engineering - Department Of Biomedical Engineering 
<br/><br/> Ultrasound imaging of the soft organs in the body is based on receiving the signal reflected from the organ surface as a result for the different mechanical properties of the different body organsHowever , the problem is that the presence of speckle noise and the weakness of the received signal cause a reduction of lesion detectability of approximately a factor of eightSo , it is necessary to reduce this noise before any further study of the received signalIn this thesis , we studied the statistical properties of this noise , reviewed the methods in literature for its reduction and suggested new methods for speckle reduction based on weighted nonlinear diffusion , neural networks and fuzzy logic 
<br/><br/>
<br/><br/><label>Subjects--Index Terms: </label>Fuzzy Logic Neural Networks Speckle Noise Ultrasound Imaging Weighted Nonlinear Diffusion