Holey-Cavity-Based Compressive Sensing for Ultrasound Imaging

doi:10.3390/s18061674

Title: Holey-Cavity-Based Compressive Sensing for Ultrasound Imaging

Abstract

The use of solid cavities around electromagnetic sources has been recently reported as a mechanism to provide enhanced images at microwave frequencies. These cavities are used as measurement randomizers; and they compress the wave fields at the physical layer. As a result of this compression, the amount of information collected by the sensing array through the different excited modes inside the resonant cavity is increased when compared to that obtained by no-cavity approaches. In this work, a two-dimensional cavity, having multiple openings, is used to perform such a compression for ultrasound imaging. Moreover, compressive sensing techniques are used for sparse signal retrieval with a limited number of operating transceivers. As a proof-of-concept of this theoretical investigation, two point-like targets located in a uniform background medium are imaged in the presence and the absence of the cavity. In addition, an analysis of the sensing capacity and the shape of the point spread function is also carried out for the aforementioned cases. The cavity is designed to have the maximum sensing capacity given different materials and opening sizes. It is demonstrated that the use of a cavity, whether it is made of plastic or metal, can significantly enhance the sensing capacity andmore »« less

Authors:

Ghanbarzadeh-Dagheyan, Ashkan ^[1]; Liu, Chang ^[1]; Molaei, Ali ^[1]; Heredia, Juan ^[1]; Martinez Lorenzo, Jose ^[1]

Northeastern Univ., Boston, MA (United States)

Publication Date:: 2018-05-23

Research Org.:: Northeastern Univ., Boston, MA (United States)

Sponsoring Org.:: USDOE

OSTI Identifier:: 1500213

Grant/Contract Number:: SC0017614

Resource Type:: Accepted Manuscript

Journal Name:: Sensors

Additional Journal Information:: Journal Volume: 18; Journal Issue: 6; Journal ID: ISSN 1424-8220

Publisher:: MDPI AG

Country of Publication:: United States

Language:: English

Subject:: 42 ENGINEERING

Citation Formats


                    Ghanbarzadeh-Dagheyan, Ashkan, Liu, Chang, Molaei, Ali, Heredia, Juan, and Martinez Lorenzo, Jose. Holey-Cavity-Based Compressive Sensing for Ultrasound Imaging.  United States: N. p., 2018. 
        Web.  doi:10.3390/s18061674.

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                    Ghanbarzadeh-Dagheyan, Ashkan, Liu, Chang, Molaei, Ali, Heredia, Juan, & Martinez Lorenzo, Jose. Holey-Cavity-Based Compressive Sensing for Ultrasound Imaging.  United States.  doi:10.3390/s18061674.

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                    Ghanbarzadeh-Dagheyan, Ashkan, Liu, Chang, Molaei, Ali, Heredia, Juan, and Martinez Lorenzo, Jose. Wed .  
        "Holey-Cavity-Based Compressive Sensing for Ultrasound Imaging".  United States.  doi:10.3390/s18061674.  https://www.osti.gov/servlets/purl/1500213.

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@article{osti_1500213,

  title        = {Holey-Cavity-Based Compressive Sensing for Ultrasound Imaging},

  author       = {Ghanbarzadeh-Dagheyan, Ashkan and Liu, Chang and Molaei, Ali and Heredia, Juan and Martinez Lorenzo, Jose},

  abstractNote = {The use of solid cavities around electromagnetic sources has been recently reported as a mechanism to provide enhanced images at microwave frequencies. These cavities are used as measurement randomizers; and they compress the wave fields at the physical layer. As a result of this compression, the amount of information collected by the sensing array through the different excited modes inside the resonant cavity is increased when compared to that obtained by no-cavity approaches. In this work, a two-dimensional cavity, having multiple openings, is used to perform such a compression for ultrasound imaging. Moreover, compressive sensing techniques are used for sparse signal retrieval with a limited number of operating transceivers. As a proof-of-concept of this theoretical investigation, two point-like targets located in a uniform background medium are imaged in the presence and the absence of the cavity. In addition, an analysis of the sensing capacity and the shape of the point spread function is also carried out for the aforementioned cases. The cavity is designed to have the maximum sensing capacity given different materials and opening sizes. It is demonstrated that the use of a cavity, whether it is made of plastic or metal, can significantly enhance the sensing capacity and the point spread function of a focused beam. The imaging performance is also improved in terms cross-range resolution when compared to the no-cavity case},

  doi          = {10.3390/s18061674},

  journal      = {Sensors},

  number       = 6,

  volume       = 18,

  place        = {United States},

  year         = {2018},

  month        = {5}

}

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Journal Article:

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DOI: 10.3390/s18061674

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Works referenced in this record:

Sparsity and incoherence in compressive sampling
journal, April 2007

Cand�s, Emmanuel; Romberg, Justin
Inverse Problems, Vol. 23, Issue 3, p. 969-985
DOI: 10.1088/0266-5611/23/3/008

In vivo Breast Sound-Speed Imaging with Ultrasound Tomography
journal, October 2009

Li, Cuiping; Duric, Nebojsa; Littrup, Peter
Ultrasound in Medicine & Biology, Vol. 35, Issue 10, p. 1615-1628
DOI: 10.1016/j.ultrasmedbio.2009.05.011

Compressive Sensing [Lecture Notes]
journal, August 2007

Baraniuk, Richard G.
IEEE Signal Processing Magazine, Vol. 24, Issue 4, p. 118-121
DOI: 10.1109/MSP.2007.4286571

Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
book, January 2011

Boyd, Stephen; Parikh, Neal; Chu, Eric
DOI: 10.1561/2200000016

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Title: Holey-Cavity-Based Compressive Sensing for Ultrasound Imaging

Abstract

Citation Formats

Sparsity and incoherence in compressive sampling journal, April 2007

In vivo Breast Sound-Speed Imaging with Ultrasound Tomography journal, October 2009

Compressive Sensing [Lecture Notes] journal, August 2007

Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers book, January 2011

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journal, October 2009

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journal, August 2007

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book, January 2011