Conference proceeding
An Easily-achieved Time-domain Beamformer for Ultrafast Ultrasound Imaging Based on Compressive Sensing
2015 37TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), Vol.2015-, pp.7490-7493
IEEE Engineering in Medicine and Biology Society Conference Proceedings
01/01/2015
DOI: 10.1109/EMBC.2015.7320124
PMID: 26738024
Abstract
In ultrafast ultrasound imaging technique, how to maintain the high frame rate, and at the same time to improve the image quality as far as possible, has become a significant issue. Several novel beamforming methods based on compressive sensing (CS) theory have been proposed in previous literatures, but all have their own limitations, such as the excessively large memory consumption and the errors caused by the short-time discrete Fourier transform (STDFT). In this study, a novel CS-based time-domain beamformer for plane-wave ultrasound imaging is proposed and its image quality has been verified to be better than the traditional DAS method and even the popular coherent compounding method on several simulated phantoms. Comparing to the existing CS method, the memory consumption of our method is significantly reduced since the encoding matrix can be sparse-expressed. In addition, the time-delay calculations of the echo signals are directly accomplished in time-domain with a dictionary concept, avoiding the errors induced by the short-time Fourier translation calculation in those frequency-domain methods. The proposed method can be easily implemented on some low-cost hardware platforms, and can obtain ultrasound images with both high frame rate and good image quality, which make it has a great potential for clinical application.
Details
- Title: Subtitle
- An Easily-achieved Time-domain Beamformer for Ultrafast Ultrasound Imaging Based on Compressive Sensing
- Creators
- Congzhi Wang - Shenzhen Institutes of Advanced TechnologyXi Peng - Chinese Acad Sci, Shenzhen Inst Adv Technol, Inst Biomed & Hlth Engn, Paul C Lauterbur Res Ctr Biomed Imaging, Shenzhen, Peoples R ChinaDong Liang - Shenzhen Institutes of Advanced TechnologyYang Xiao - Shenzhen Institutes of Advanced TechnologyWeibao Qiu - Shenzhen Institutes of Advanced TechnologyMing Qian - Shenzhen Institutes of Advanced TechnologyHairong Zheng - Shenzhen Institutes of Advanced Technology
- Resource Type
- Conference proceeding
- Publication Details
- 2015 37TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), Vol.2015-, pp.7490-7493
- Publisher
- IEEE
- Series
- IEEE Engineering in Medicine and Biology Society Conference Proceedings
- DOI
- 10.1109/EMBC.2015.7320124
- PMID
- 26738024
- ISSN
- 1557-170X
- eISSN
- 1558-4615
- Number of pages
- 4
- Language
- English
- Date published
- 01/01/2015
- Academic Unit
- Radiology
- Record Identifier
- 9984446436902771
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