Modelling, Speckle Simulation and Quality Evaluation of Synthetic Ultrasound Images

Type of content
Conference Contributions - Published
Thesis discipline
Degree name
Publisher
Springer Verlag (Germany)
Journal Title
Journal ISSN
Volume Title
Language
Date
2017
Authors
Singh P
Mukundan R
de Ryke R
Abstract

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.

Description
Citation
Singh 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.
Keywords
Ultrasound image analysis, Speckle simulation, Speckle noise reduction, Synthetic ultrasound images, Image quality assessment
Ngā upoko tukutuku/Māori subject headings
ANZSRC fields of research
Field of Research::11 - Medical and Health Sciences::1103 - Clinical Sciences::110320 - Radiology and Organ Imaging
Fields of Research::46 - Information and computing sciences::4603 - Computer vision and multimedia computation::460306 - Image processing
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