Modelling, Speckle Simulation and Quality Evaluation of Synthetic Ultrasound Images

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dc.contributor.authorSingh P
dc.contributor.authorMukundan R
dc.contributor.authorde Ryke R
dc.date.accessioned2017-11-12T21:11:42Z
dc.date.available2017-11-12T21:11:42Z
dc.date.issued2017en
dc.date.updated2017-07-20T04:46:39Z
dc.description.abstractSpeckle 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.en
dc.identifier.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.en
dc.identifier.doihttps://doi.org/10.1007/978-3-319-60964-5_7
dc.identifier.isbn978-3-319-60964-5
dc.identifier.issn1865-0929
dc.identifier.urihttp://hdl.handle.net/10092/14605
dc.language.isoen
dc.publisherSpringer Verlag (Germany)en
dc.subjectUltrasound image analysisen
dc.subjectSpeckle simulationen
dc.subjectSpeckle noise reductionen
dc.subjectSynthetic ultrasound imagesen
dc.subjectImage quality assessmenten
dc.subject.anzsrcField of Research::11 - Medical and Health Sciences::1103 - Clinical Sciences::110320 - Radiology and Organ Imagingen
dc.subject.anzsrcFields of Research::46 - Information and computing sciences::4603 - Computer vision and multimedia computation::460306 - Image processingen
dc.titleModelling, Speckle Simulation and Quality Evaluation of Synthetic Ultrasound Imagesen
dc.typeConference Contributions - Publisheden
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