TY  - GEN
AU  - Muhammad Ali Muhammad Rushdi
AU  - Abu Bakr Mohamed Yousef , 
AU  - Ahmed Mohamed Badawi , 
TI  - Speckle reduction in medical ultrasound images using weighted diffusion , neural networks and fuzzy logic / 
PY  - 2005///
CY  - Cairo : 
PB  - Muhammad Ali Muhammad Rushdi , 
KW  - Fuzzy Logic
KW  - Neural Networks
KW  - Speckle Noise
KW  - Ultrasound Imaging
KW  - Weighted Nonlinear Diffusion
N1  - Thesis (M.Sc.) - Cairo University - Faculty Of Engineering - Department Of Biomedical Engineering; Issued also as CD
N2  - 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
ER  -