Literature DB >> 34950749

Electromagnetic acoustic imaging methods: resolution, signal-to-noise, and image contrast in phantoms.

Jane F Emerson1, David B Chang2, Stuart McNaughton2, Ellen M Emerson3, Stephen A Cerwin4.   

Abstract

Purpose: Electromagnetic acoustic imaging (EMAI) is a hybrid imaging technique using radio-frequency irradiation to induce ultrasound (US), providing an US image in which spatial conductivity differences provide image contrast. The method is potentially clinically important in that the added diagnostic parameter has been shown to be useful in cancer detection and vascular space delineation. Approach: We report the development of coil configurations and imaging processing techniques designed to address the low signal-to-noise of EMAI and demonstrate achievable resolution and contrast in phantoms along with EMAI signals in excised animal tissue. Experiment results are compared with theoretical calculations.
Results: EMAI signal intensities depend on the square of the ampere-turns in the coil radio frequency coil as predicted theoretically. Resolution is shown to be comparable to conventional US imaging with contrast and signal intensity depending on source conductivity. Optimizing signal-to-noise depends on coil design, orientation of the electromagnetic fields, and coherent processing. Conclusions: Two-dimensional EMAI images are shown to have the expected resolution of conventional US with image contrast dependent on conductivity. Achievable signal-to-noise is sufficient to form potentially clinically useful images.
© 2021 The Authors.

Entities:  

Keywords:  conductivity-weighted ultrasound; electromagnetic acoustic imaging; hybrid imaging; radio-frequency imaging; ultrasound

Year:  2021        PMID: 34950749      PMCID: PMC8685282          DOI: 10.1117/1.JMI.8.6.067001

Source DB:  PubMed          Journal:  J Med Imaging (Bellingham)        ISSN: 2329-4302


  8 in total

Review 1.  Electrical impedance tomography.

Authors:  Beatriz Lobo; Cecilia Hermosa; Ana Abella; Federico Gordo
Journal:  Ann Transl Med       Date:  2018-01

2.  Correlation between conductivity and prognostic factors in invasive breast cancer using magnetic resonance electric properties tomography (MREPT).

Authors:  Soo-Yeon Kim; Jaewook Shin; Dong-Hyun Kim; Min Jung Kim; Eun-Kyung Kim; Hee Jung Moon; Jung Hyun Yoon
Journal:  Eur Radiol       Date:  2015-10-23       Impact factor: 5.315

3.  Electromagnetic acoustic imaging.

Authors:  Jane F Emerson; David B Chang; Stuart McNaughton; Jong Seob Jeong; K K Shung; Stephen A Cerwin
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2013-02       Impact factor: 2.725

4.  In vivo electrical conductivity of hepatic tumours.

Authors:  Dieter Haemmerich; S T Staelin; J Z Tsai; S Tungjitkusolmun; D M Mahvi; J G Webster
Journal:  Physiol Meas       Date:  2003-05       Impact factor: 2.833

Review 5.  Recent Advances in Microwave Imaging for Breast Cancer Detection.

Authors:  Sollip Kwon; Seungjun Lee
Journal:  Int J Biomed Imaging       Date:  2016-12-21

6.  Dielectric properties for non-invasive detection of normal, benign, and malignant breast tissues using microwave theories.

Authors:  Yiou Cheng; Minghuan Fu
Journal:  Thorac Cancer       Date:  2018-02-21       Impact factor: 3.500

Review 7.  Ultrasound Elastography: Review of Techniques and Clinical Applications.

Authors:  Rosa M S Sigrist; Joy Liau; Ahmed El Kaffas; Maria Cristina Chammas; Juergen K Willmann
Journal:  Theranostics       Date:  2017-03-07       Impact factor: 11.556

8.  Blood vessel imaging using radiofrequency-induced second harmonic acoustic response.

Authors:  Yuanhui Huang; Stephan Kellnberger; George Sergiadis; Vasilis Ntziachristos
Journal:  Sci Rep       Date:  2018-10-19       Impact factor: 4.379

  8 in total

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