Plane wave imaging challenge

Abstract

The plane wave imaging challenge (PICMUS) has been introduced for the first time to IUS in order to encourage participants to compete and share their knowledge in medical ultrasound plane wave imaging. To participate in this challenge, we have chosen the contrast enhanced delay and sum (CEDAS) post signal processing method. This technique have been used to improve B-mode image contrast to noise ratio (CNR) without effecting the image spatial resolution. With CEDAS the energy of every envelope signal is calculated, mapped, and clustered in order to identify the cyst and clutter location. CEDAS significantly reduces the clutter inside the cyst by attenuating it from envelope signals before the new B-Mode image is formed. This paper describes in more details the techniques and parameters we have been using for the challenge. Results obtained for CEDAS shows that it outperforms conventional DAS by 18.33% in experiment and 79.24% in simulation for CNR.

Metadata

Item Type:	Proceedings Paper
Authors/Creators:	Moubark, AM Harput, S Cowell, DMJ Adams, C https://orcid.org/0000-0002-3992-0555 Freear, S https://orcid.org/0000-0001-7858-4155
Copyright, Publisher and Additional Information:	(c) 2016, IEEE. This is an author produced version of a paper published in IEEE International Ultrasonics Symposium, IUS . Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, 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 components of this work in other works. Uploaded in accordance with the publisher’s self-archiving policy.
Keywords:	Speckle, Clutter, Data models, Radio frequency, Energy states, Phantoms
Dates:	Published: 3 November 2016 Published (online): 3 November 2016 Accepted: 21 September 2016
Institution:	The University of Leeds
Depositing User:	Symplectic Publications
Date Deposited:	10 Jan 2017 11:16
Last Modified:	16 Jan 2018 13:56
Published Version:	https://doi.org/10.1109/ULTSYM.2016.7728893
Status:	Published
Publisher:	IEEE
Identification Number:	10.1109/ULTSYM.2016.7728893
Open Archives Initiative ID (OAI ID):	oai:eprints.whiterose.ac.uk:110291

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Plane wave imaging challenge

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