New improved unsharp masking methods compatible with ultrasound B-mode imaging

Asraf Mohamed Moubark, Thomas M. Carpenter, David M.J. Cowell, Sevan Harput, Steven Freear

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

1 Citation (Scopus)

Abstract

In medical ultrasound B-mode imaging, by increasing the image contrast, spatial and temporal resolution, it will help to improve the diagnostic and decision making process. Previously the unsharp masking (UM) techniques have been successfully implemented for digital image processing as edge enhancement techniques. However, the outcomes of the method are limited and influenced by the image formats conversion and lower dynamic range. Moreover the conventional UM technique sensitive to noise due to the presence of linear high pass filter which cannot discriminate signal from noise. Furthermore, the technique only enhances the image in darker compared to lighter regions. To overcome those issues, a new improved UM method compatible with ultrasound B-mode imaging was applied to compound plane wave imaging (CPWI). The received radio frequency (RF) signal was beamformed with delay and sum (DAS) and filtered delay and sum (FDMAS). Results show that the proposed techniques are not only able to improve the image contrast but also the spatial resolution. The UM technique manages to improve the B-mode image lateral resolution (LR) by 18.36% and 10.25% as well as reduced the peak side lobes (PSL) by 16.67 dB and 21.24 dB on DAS and FDMAS respectively when compounded with CPWI, N=13. For the same number of compounding and beamforming order, the image contrast ratio (CR) has been improved by 10.35 dB and 7.39 dB accordingly.

Original languageEnglish
Title of host publication2017 IEEE International Ultrasonics Symposium, IUS 2017
PublisherIEEE Computer Society
ISBN (Electronic)9781538633830
DOIs
Publication statusPublished - 31 Oct 2017
Externally publishedYes
Event2017 IEEE International Ultrasonics Symposium, IUS 2017 - Washington, United States
Duration: 6 Sep 20179 Sep 2017

Other

Other2017 IEEE International Ultrasonics Symposium, IUS 2017
CountryUnited States
CityWashington
Period6/9/179/9/17

Fingerprint

masking
image contrast
plane waves
spatial resolution
high pass filters
compounding
beamforming
decision making
temporal resolution
lobes
format
dynamic range
image processing
radio frequencies
augmentation

ASJC Scopus subject areas

  • Acoustics and Ultrasonics

Cite this

Mohamed Moubark, A., Carpenter, T. M., Cowell, D. M. J., Harput, S., & Freear, S. (2017). New improved unsharp masking methods compatible with ultrasound B-mode imaging. In 2017 IEEE International Ultrasonics Symposium, IUS 2017 [8092244] IEEE Computer Society. https://doi.org/10.1109/ULTSYM.2017.8092244

New improved unsharp masking methods compatible with ultrasound B-mode imaging. / Mohamed Moubark, Asraf; Carpenter, Thomas M.; Cowell, David M.J.; Harput, Sevan; Freear, Steven.

2017 IEEE International Ultrasonics Symposium, IUS 2017. IEEE Computer Society, 2017. 8092244.

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

Mohamed Moubark, A, Carpenter, TM, Cowell, DMJ, Harput, S & Freear, S 2017, New improved unsharp masking methods compatible with ultrasound B-mode imaging. in 2017 IEEE International Ultrasonics Symposium, IUS 2017., 8092244, IEEE Computer Society, 2017 IEEE International Ultrasonics Symposium, IUS 2017, Washington, United States, 6/9/17. https://doi.org/10.1109/ULTSYM.2017.8092244
Mohamed Moubark A, Carpenter TM, Cowell DMJ, Harput S, Freear S. New improved unsharp masking methods compatible with ultrasound B-mode imaging. In 2017 IEEE International Ultrasonics Symposium, IUS 2017. IEEE Computer Society. 2017. 8092244 https://doi.org/10.1109/ULTSYM.2017.8092244
Mohamed Moubark, Asraf ; Carpenter, Thomas M. ; Cowell, David M.J. ; Harput, Sevan ; Freear, Steven. / New improved unsharp masking methods compatible with ultrasound B-mode imaging. 2017 IEEE International Ultrasonics Symposium, IUS 2017. IEEE Computer Society, 2017.
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