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OverviewSpeckle noise is an inherent nature of ultrasound images. In this research a compounding method based on wavelet shrinkage denoising (WSD) is studied. Wavelet shrinkage denoising is adopted not only because the noise can be effectively removed in wavelet domain, but also because the decomposition- reconstruction process could successfully divide the radio-frequency (RF) signals into several subsignals, which can be envelope detected and then summed up to form the compounded image. Hence the denoising advantage of WSD is achieved along with speckle suppression of compounding method. In addition, because the contrast noise ratio (CNR) is a function of the weighting coefficients, optimal weighting is obtained via differentiating the CNR to further increase the image quality. To evaluate the developed compounding method, quantitative and qualitative performance of the developed method was carried out and compared with other existing methods for both the phantom data and in vivo data. Full Product DetailsAuthor: Yan Zhang (Simula Research Laboratory Lysaker Norway)Publisher: LAP Lambert Academic Publishing Imprint: LAP Lambert Academic Publishing Dimensions: Width: 15.20cm , Height: 0.50cm , Length: 22.90cm Weight: 0.136kg ISBN: 9783838397597ISBN 10: 3838397592 Pages: 84 Publication Date: 08 September 2010 Audience: General/trade , General Format: Paperback Publisher's Status: Active Availability: In Print  This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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