Literature DB >> 18018695

Multifrequency microwave-induced thermal acoustic imaging for breast cancer detection.

Bin Guo1, Jian Li, Henry Zmuda, Mark Sheplak.   

Abstract

Microwave-induced thermal acoustic imaging (TAI) is a promising early breast cancer detection technique, which combines the advantages of microwave stimulation and ultrasound imaging and offers a high imaging contrast, as well as high spatial resolution at the same time. A new multifrequency microwave-induced thermal acoustic imaging scheme for early breast cancer detection is proposed in this paper. Significantly more information about the human breast can be gathered using multiple frequency microwave stimulation. A multifrequency adaptive and robust technique (MART) is presented for image formation. Due to its data-adaptive nature, MART can achieve better resolution and better interference rejection capability than its data-independent counterparts, such as the delay-and-sum method. The effectiveness of this procedure is shown by several numerical examples based on 2-D breast models. The finite-difference time-domain method is used to simulate the electromagnetic field distribution, the absorbed microwave energy density, and the thermal acoustic field in the breast model.

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Year:  2007        PMID: 18018695     DOI: 10.1109/TBME.2007.895108

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  3 in total

1.  Image improvement in linear-array photoacoustic imaging using high resolution coherence factor weighting technique.

Authors:  Moein Mozaffarzadeh; Bahador Makkiabadi; Maryam Basij; Mohammad Mehrmohammadi
Journal:  BMC Biomed Eng       Date:  2019-04-05

2.  A photoacoustic image reconstruction method using total variation and nonconvex optimization.

Authors:  Chen Zhang; Yan Zhang; Yuanyuan Wang
Journal:  Biomed Eng Online       Date:  2014-08-17       Impact factor: 2.819

3.  The double-stage delay-multiply-and-sum image reconstruction method improves imaging quality in a LED-based photoacoustic array scanner.

Authors:  Moein Mozaffarzadeh; Ali Hariri; Colman Moore; Jesse V Jokerst
Journal:  Photoacoustics       Date:  2018-09-18
  3 in total

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