skip to main content
DOE PAGES title logo U.S. Department of Energy
Office of Scientific and Technical Information

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 » 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« less

Authors:
 [1];  [1];  [1];  [1];  [1]
  1. Northeastern Univ., Boston, MA (United States)
Publication Date:
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.
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.
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.
@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}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record

Citation Metrics:
Cited by: 2 works
Citation information provided by
Web of Science

Save / Share:

Works referenced in this record:

Printed Aperiodic Cavity for Computational and Microwave Imaging
journal, May 2016

  • Yurduseven, Okan; Gowda, Vinay R.; Gollub, Jonah N.
  • IEEE Microwave and Wireless Components Letters, Vol. 26, Issue 5
  • DOI: 10.1109/LMWC.2016.2548443

Fast compressive pulse-echo ultrasound imaging using random incident sound fields
journal, May 2017

  • Schiffner, Martin F.; Schmitz, Georg
  • The Journal of the Acoustical Society of America, Vol. 141, Issue 5
  • DOI: 10.1121/1.4987735

Compressive sensing: From theory to applications, a survey
journal, October 2013

  • Qaisar, Saad; Bilal, Rana Muhammad; Iqbal, Wafa
  • Journal of Communications and Networks, Vol. 15, Issue 5
  • DOI: 10.1109/JCN.2013.000083

Xampling: Signal Acquisition and Processing in Union of Subspaces
journal, October 2011

  • Mishali, Moshe; Eldar, Yonina C.; Elron, Asaf J.
  • IEEE Transactions on Signal Processing, Vol. 59, Issue 10
  • DOI: 10.1109/TSP.2011.2161472

Frequency Domain Compressive Sampling for Ultrasound Imaging
journal, January 2012

  • Quinsac, Céline; Basarab, Adrian; Kouamé, Denis
  • Advances in Acoustics and Vibration, Vol. 2012
  • DOI: 10.1155/2012/231317

Improved SAR Imaging Contour Extraction Using Smooth Sparsity-Driven Regularization
journal, January 2016

  • Ghazi, Galia; Rappaport, Carey M.; Martinez-Lorenzo, Jose A.
  • IEEE Antennas and Wireless Propagation Letters, Vol. 15
  • DOI: 10.1109/LAWP.2015.2440358

Sparsity and incoherence in compressive sampling
journal, April 2007


3d Printing of Anisotropic Metamaterials
journal, January 2012

  • Garcia, Cesar R.; Correa, Jesus; Espalin, David
  • Progress In Electromagnetics Research Letters, Vol. 34
  • DOI: 10.2528/PIERL12070311

Terahertz compressive imaging with metamaterial spatial light modulators
journal, June 2014


One-Channel Time Reversal of Elastic Waves in a Chaotic 2D-Silicon Cavity
journal, July 1997


Metamaterial microwave holographic imaging system
journal, January 2014

  • Hunt, John; Gollub, Jonah; Driscoll, Tom
  • Journal of the Optical Society of America A, Vol. 31, Issue 10
  • DOI: 10.1364/JOSAA.31.002109

Mapping multidimensional electronic structure and ultrafast dynamics with single-element detection and compressive sensing
journal, January 2016

  • Spencer, Austin P.; Spokoyny, Boris; Ray, Supratim
  • Nature Communications, Vol. 7, Issue 1
  • DOI: 10.1038/ncomms10434

Imaging With Nature: Compressive Imaging Using a Multiply Scattering Medium
journal, July 2014

  • Liutkus, Antoine; Martina, David; Popoff, Sébastien
  • Scientific Reports, Vol. 4, Issue 1
  • DOI: 10.1038/srep05552

An Introduction To Compressive Sampling
journal, March 2008


Coherence, Compressive Sensing, and Random Sensor Arrays
journal, August 2011


Computational imaging using a mode-mixing cavity at microwave frequencies
journal, May 2015

  • Fromenteze, Thomas; Yurduseven, Okan; Imani, Mohammadreza F.
  • Applied Physics Letters, Vol. 106, Issue 19
  • DOI: 10.1063/1.4921081

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


Shear-wave elastography for breast masses: local shear wave speed (m/s) versus Young modulus (kPa)
journal, November 2013

  • Youk, Ji Hyun; Son, Eun Ju; Park, Ah Young
  • Ultrasonography, Vol. 33, Issue 1
  • DOI: 10.14366/usg.13005

Compressive Sensing [Lecture Notes]
journal, August 2007


3D printed plastics for beam modulation in proton therapy
journal, May 2015


One-channel time-reversal in chaotic cavities: Experimental results
journal, February 1999

  • Draeger, Carsten; Aime, Jean-Christian; Fink, Mathias
  • The Journal of the Acoustical Society of America, Vol. 105, Issue 2
  • DOI: 10.1121/1.426252

Optical image encryption via photon-counting imaging and compressive sensing based ptychography
journal, May 2015


A Single-Transceiver Compressive Reflector Antenna for High-Sensing-Capacity Imaging
journal, January 2016

  • Martinez Lorenzo, Jose A.; Heredia Juesas, Juan; Blackwell, William
  • IEEE Antennas and Wireless Propagation Letters, Vol. 15
  • DOI: 10.1109/LAWP.2015.2487319

Real-time focusing using an ultrasonic one channel time-reversal mirror coupled to a solid cavity
journal, May 2004

  • Quieffin, N.; Catheline, S.; Ing, R. K.
  • The Journal of the Acoustical Society of America, Vol. 115, Issue 5
  • DOI: 10.1121/1.1699396

Active Compressive Sensing via Pyroelectric Infrared Sensor for Human Situation Recognition
journal, December 2017

  • Ma, Rui; Hu, Fei; Hao, Qi
  • IEEE Transactions on Systems, Man, and Cybernetics: Systems, Vol. 47, Issue 12
  • DOI: 10.1109/TSMC.2016.2578465

Effective Dynamic Properties and Multi-Resonant Design of Acoustic Metamaterials
journal, April 2012

  • Zhu, R.; Huang, G. L.; Hu, G. K.
  • Journal of Vibration and Acoustics, Vol. 134, Issue 3
  • DOI: 10.1115/1.4005825

Metamaterial Apertures for Computational Imaging
journal, January 2013


Compressive 3D ultrasound imaging using a single sensor
journal, December 2017

  • Kruizinga, Pieter; van der Meulen, Pim; Fedjajevs, Andrejs
  • Science Advances, Vol. 3, Issue 12
  • DOI: 10.1126/sciadv.1701423

Application of Ultrasound in Medicine
journal, January 2011

  • Carovac, Aladin; Smajlovic, Fahrudin; Junuzovic, Dzelaludin
  • Acta Informatica Medica, Vol. 19, Issue 3
  • DOI: 10.5455/aim.2011.19.168-171

Microwave Imaging Within the First-Order Born Approximation by Means of the Contrast-Field Bayesian Compressive Sensing
journal, June 2012

  • Poli, Lorenzo; Oliveri, Giacomo; Massa, Andrea
  • IEEE Transactions on Antennas and Propagation, Vol. 60, Issue 6
  • DOI: 10.1109/TAP.2012.2194676

Single-sensor multispeaker listening with acoustic metamaterials
journal, August 2015

  • Xie, Yangbo; Tsai, Tsung-Han; Konneker, Adam
  • Proceedings of the National Academy of Sciences, Vol. 112, Issue 34
  • DOI: 10.1073/pnas.1502276112

Acoustic imaging device with one transducer
journal, May 2012

  • Etaix, Nicolas; Fink, Mathias; Ing, Ros K.
  • The Journal of the Acoustical Society of America, Vol. 131, Issue 5
  • DOI: 10.1121/1.3699533

Design and characterization of broadband acoustic composite metamaterials
journal, November 2009


Metamaterial apertures for coherent computational imaging on the physical layer
journal, January 2013

  • Lipworth, Guy; Mrozack, Alex; Hunt, John
  • Journal of the Optical Society of America A, Vol. 30, Issue 8
  • DOI: 10.1364/JOSAA.30.001603

Objective breast tissue image classification using Quantitative Transmission ultrasound tomography
journal, December 2016

  • Malik, Bilal; Klock, John; Wiskin, James
  • Scientific Reports, Vol. 6, Issue 1
  • DOI: 10.1038/srep38857

Norm-1 Regularized Consensus-Based ADMM for Imaging With a Compressive Antenna
journal, January 2017

  • Heredia-Juesas, Juan; Molaei, Ali; Tirado, Luis
  • IEEE Antennas and Wireless Propagation Letters, Vol. 16
  • DOI: 10.1109/LAWP.2017.2718242

De-noising by soft-thresholding
journal, May 1995

  • Donoho, D. L.
  • IEEE Transactions on Information Theory, Vol. 41, Issue 3
  • DOI: 10.1109/18.382009