Modelling, Speckle Simulation and Quality Evaluation of Synthetic Ultrasound Images (2017)
Type of ContentConference Contributions - Published
PublisherSpringer Verlag (Germany)
AuthorsSingh P, Mukundan R, de Ryke Rshow all
Speckle noise reduction is an important area of research in the field of ultrasound image processing. Several algorithms for speckle noise characterization and analysis have been recently proposed in the area. Synthetic ultrasound images can play a key role in noise evaluation methods as they can be used to generate a variety of speckle noise models under different interpolation and sampling schemes, and can also provide valuable ground truth data for estimating the accuracy of the chosen methods. However, not much work has been done in the area of modelling synthetic ultrasound images, and in simulating speckle noise generation to get images that are as close as possible to real ultrasound images. This paper discusses these aspects, presents novel algorithms for speckle simulation and modelling based on three sampling schemes, and also evaluates the quality of the outputs using image quality metrics. Detailed experimental analysis including both quantitative and subjective assessments are also presented.
CitationSingh P, Mukundan R, de Ryke R (2017). Modelling, Speckle Simulation and Quality Evaluation of Synthetic Ultrasound Images. University of Edinburgh: Medical Image Understanding and Analysis. 11/07/2017-13/07/2017. Communications in Computer and Information Science. 723. 74-85.
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KeywordsUltrasound image analysis; Speckle simulation; Speckle noise reduction; Synthetic ultrasound images; Image quality assessment
ANZSRC Fields of Research11 - Medical and Health Sciences::1103 - Clinical Sciences::110320 - Radiology and Organ Imaging
08 - Information and Computing Sciences::0801 - Artificial Intelligence and Image Processing::080106 - Image Processing