Speckle Noise Reduction on Medical Ultrasonrel Imaging

Abstract

Today, ultrasound (US)is one of the most widely used imaging technologies in medicine. It is portable, free of radiation risk, and relatively inexpensive when compared with other imaging modalities. The ultrasound (US)B-Scan images are obtained with a simple linear or sector scan US probe, which show a granular appearance called speckle. this noise lead to degrades the target detectability and recognition and reduces the control , resolution which affect the human ability to identify normal and pathological tissue. The objective of this project is to give an overview abut types of speckle reduction techniques in ultrasound imaging , and to carry out a comparative evaluation of despeckle filtering based on image quality evaluation metrics. Anew speckle suppression methods and coherence enhancement of medical ultrasound images were proposed . combines median filter and wavelet shrinkage. It has been found that quality evaluation metrics the proposed method performs better than all other methods while still retaining the structural details and experimental results show that this method retains the edges and textures very well while removing noise.