Literature DB >> 23357910

Electromagnetic acoustic imaging.

Jane F Emerson1, David B Chang, Stuart McNaughton, Jong Seob Jeong, K K Shung, Stephen A Cerwin.   

Abstract

Electromagnetic acoustic imaging (EMAI) is a new imaging technique that uses long-wavelength RF electromagnetic (EM) waves to induce ultrasound emission. Signal intensity and image contrast have been found to depend on spatially varying electrical conductivity of the medium in addition to conventional acoustic properties. The resultant conductivity- weighted ultrasound data may enhance the diagnostic performance of medical ultrasound in cancer and cardiovascular applications because of the known changes in conductivity of malignancy and blood-filled spaces. EMAI has a potential advantage over other related imaging techniques because it combines the high resolution associated with ultrasound detection with the generation of the ultrasound signals directly related to physiologically important electrical properties of the tissues. Here, we report the theoretical development of EMAI, implementation of a dual-mode EMAI/ultrasound apparatus, and successful demonstrations of EMAI in various phantoms designed to establish feasibility of the approach for eventual medical applications.

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Year:  2013        PMID: 23357910     DOI: 10.1109/TUFFC.2013.2572

Source DB:  PubMed          Journal:  IEEE Trans Ultrason Ferroelectr Freq Control        ISSN: 0885-3010            Impact factor:   2.725


  4 in total

1.  Magneto-acoustic imaging by continuous-wave excitation.

Authors:  Zhang Shunqi; Xiaoqing Zhou; Yin Tao; Liu Zhipeng
Journal:  Med Biol Eng Comput       Date:  2016-07-01       Impact factor: 2.602

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

Authors:  Jane F Emerson; David B Chang; Stuart McNaughton; Ellen M Emerson; Stephen A Cerwin
Journal:  J Med Imaging (Bellingham)       Date:  2021-12-20

3.  A preliminary in vivo study of a method for measuring magneto-acoustic sonic source under electrical stimulation.

Authors:  Shunqi Zhang; Ren Ma; Xiaoqing Zhou; Tao Yin; Zhipeng Liu
Journal:  Technol Health Care       Date:  2020       Impact factor: 1.285

Review 4.  Electromagnetic⁻Acoustic Sensing for Biomedical Applications.

Authors:  Siyu Liu; Ruochong Zhang; Zesheng Zheng; Yuanjin Zheng
Journal:  Sensors (Basel)       Date:  2018-09-21       Impact factor: 3.576

  4 in total

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