Modified Method for Denoising the Ultrasound Images by Wavelet Thresholding

Abstract

Medical practitioners are increasingly using digital images during disease diagnosis. Several state-of-the-art medical equip ment are producing images of different organs, which are used during various stages of analysis. Examples of such equipment include M RI, CT, u ltrasound and X-Ray. In medical image processing, image denoising has become a very essential exercise all through the diagnos is as Ultrasound images are normally affected by speckle noise. The noise in the image has two negative outcomes, the first being the degradation of the image quality and the second and more impo rtant, obscures important informat ion required for accurate diagnosis.Arbitration between the perpetuation of useful diagnostic informat ion and noise suppression must be treasured in med ical images. In general we rely on the intervention of a proficient to control the quality of processed images. In certain cases, for instance in Ultrasound images, the noise can suppress the informat ion which is valuable for the general practitioner. Consequently med ical images can be very inconsistent, and it is crucial to operate case to case. This paper presents a wavelet-based thresholding scheme for noise suppression in Ultrasound images and provides the knowledge about adaptive and anisotropic diffusion techniques for speckle noise removal fro m different types of images, like Ultrasound.