Hyder, S, Harput, S orcid.org/0000-0003-0491-4064, Alomari, Z et al. (1 more author) (2014) Two-way Quality Assessment Approach for Tumour Detection using Free-hand Strain Imaging. In: 2014 IEEE International Ultrasonics Symposium Proceedings. IUS, 03-06 Sep 2014, Chicago, IL, USA. IEEE , pp. 1853-1856. ISBN 978-1-4799-7049-0
Abstract
A novel two-way image quality assessment method is proposed for free-hand strain imaging. In elasticity imaging, tissue with different stiffness exhibit varying contrast in the strain images and detectability of a lesion is measured using elastographic contrast-to-noise ratio (CNRe). Representing quality of strain images quantitatively is vital for improving imaging techniques and also for clinical diagnosis. It avoids the subjective approach of interpreting strain images. Conventionally, contrast between stiff lesion and surrounding soft tissue is measured using contrast-to-noise ratio and strain image with the highest CNRe amplitude is considered an optimal strain image. However experimental results have suggested that merely CNRe metric is often misleading and does not always represent the true elastic modulus contrast as the correlation coefficient falls below an acceptable levels and accuracy is compromised. Therefore in this study, the objective is to propose a comprehensive strain image quality assessment method which is reliable for clinical examinations and research.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2014 IEEE. This is an author produced version of a paper published in 2014 IEEE International Ultrasonics Symposium Proceedings. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 18 Jul 2016 08:43 |
Last Modified: | 16 Jan 2018 03:09 |
Published Version: | http://dx.doi.org/10.1109/ULTSYM.2014.0460 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/ULTSYM.2014.0460 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:101051 |