Plane wave imaging challenge

Asraf Mohamed Moubark, Sevan Harput, David M.J. Cowell, Chris Adams, Steven Freear

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publication2016 IEEE International Ultrasonics Symposium, IUS 2016
PublisherIEEE Computer Society
Volume2016-November
ISBN (Electronic)9781467398978
DOIs
Publication statusPublished - 1 Nov 2016
Externally publishedYes
Event2016 IEEE International Ultrasonics Symposium, IUS 2016 - Tours, France
Duration: 18 Sep 201621 Sep 2016

Other

Other2016 IEEE International Ultrasonics Symposium, IUS 2016
CountryFrance
CityTours
Period18/9/1621/9/16

Fingerprint

plane waves
cysts
clutter
Inertial Upper Stage
envelopes
image resolution
image contrast
signal processing
spatial resolution
simulation
energy

ASJC Scopus subject areas

  • Acoustics and Ultrasonics

Cite this

Mohamed Moubark, A., Harput, S., Cowell, D. M. J., Adams, C., & Freear, S. (2016). Plane wave imaging challenge. In 2016 IEEE International Ultrasonics Symposium, IUS 2016 (Vol. 2016-November). [7728893] IEEE Computer Society. https://doi.org/10.1109/ULTSYM.2016.7728893

Plane wave imaging challenge. / Mohamed Moubark, Asraf; Harput, Sevan; Cowell, David M.J.; Adams, Chris; Freear, Steven.

2016 IEEE International Ultrasonics Symposium, IUS 2016. Vol. 2016-November IEEE Computer Society, 2016. 7728893.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Mohamed Moubark, A, Harput, S, Cowell, DMJ, Adams, C & Freear, S 2016, Plane wave imaging challenge. in 2016 IEEE International Ultrasonics Symposium, IUS 2016. vol. 2016-November, 7728893, IEEE Computer Society, 2016 IEEE International Ultrasonics Symposium, IUS 2016, Tours, France, 18/9/16. https://doi.org/10.1109/ULTSYM.2016.7728893
Mohamed Moubark A, Harput S, Cowell DMJ, Adams C, Freear S. Plane wave imaging challenge. In 2016 IEEE International Ultrasonics Symposium, IUS 2016. Vol. 2016-November. IEEE Computer Society. 2016. 7728893 https://doi.org/10.1109/ULTSYM.2016.7728893
Mohamed Moubark, Asraf ; Harput, Sevan ; Cowell, David M.J. ; Adams, Chris ; Freear, Steven. / Plane wave imaging challenge. 2016 IEEE International Ultrasonics Symposium, IUS 2016. Vol. 2016-November IEEE Computer Society, 2016.
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