Literature DB >> 19457739

Advances in the 3-D forward-backward time-stepping (FBTS) inverse scattering technique for breast cancer detection.

Jessi E Johnson1, Takashi Takenaka, Kismet Anak Hong Ping, Shunsuke Honda, Toshiyuki Tanaka.   

Abstract

This paper presents recent advances in a 3-D inverse scattering technique, called forward-backward time-stepping (FBTS), applied to the reconstruction of the microwave properties of the breast. The FBTS algorithm is utilized for a numerical-based study of a 3-D breast model based on an MRI. Several illumination schemes, based on different microwave transmitter/receiver configurations, are compared based on the quality of the reconstructed images of the breast model. A combination of cylindrical and planar arrays is shown to provide accurate estimates of the model electrical parameters that delineate the various regions of the breast. Although further analysis with this combination array demonstrates that tumors of reduced size and reduced contrast with the surrounding fibroglandular region are much more difficult (and in some cases not possible) to reconstruct, the study presents some promising initial results of a reconstruction technique for breast imaging and cancer detection.

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Year:  2009        PMID: 19457739     DOI: 10.1109/TBME.2009.2022635

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


  6 in total

1.  Multi-Band Miniaturized Patch Antennas for a Compact, Shielded Microwave Breast Imaging Array.

Authors:  Suzette M Aguilar; Mudar A Al-Joumayly; Matthew J Burfeindt; Nader Behdad; Susan C Hagness
Journal:  IEEE Trans Antennas Propag       Date:  2013-12-18       Impact factor: 4.388

2.  MRI-Derived 3-D-Printed Breast Phantom for Microwave Breast Imaging Validation.

Authors:  Matthew J Burfeindt; Timothy J Colgan; R Owen Mays; Jacob D Shea; Nader Behdad; Barry D Van Veen; Susan C Hagness
Journal:  IEEE Antennas Wirel Propag Lett       Date:  2012       Impact factor: 3.834

3.  Quantitative Microwave Imaging of Realistic Numerical Breast Phantoms Using an Enclosed Array of Multiband, Miniaturized Patch Antennas.

Authors:  Matthew J Burfeindt; Nader Behdad; Barry D Van Veen; Susan C Hagness
Journal:  IEEE Antennas Wirel Propag Lett       Date:  2012       Impact factor: 3.834

4.  Machine Learning Approach to Quadratic Programming-Based Microwave Imaging for Breast Cancer Detection.

Authors:  Sandra Costanzo; Alexandra Flores; Giovanni Buonanno
Journal:  Sensors (Basel)       Date:  2022-05-29       Impact factor: 3.847

5.  Beamforming-Enhanced Inverse Scattering for Microwave Breast Imaging.

Authors:  Matthew J Burfeindt; Jacob D Shea; Barry D Van Veen; Susan C Hagness
Journal:  IEEE Trans Antennas Propag       Date:  2014-07-30       Impact factor: 4.388

Review 6.  Review of Microwaves Techniques for Breast Cancer Detection.

Authors:  Maged A Aldhaeebi; Khawla Alzoubi; Thamer S Almoneef; Saeed M Bamatraf; Hussein Attia; Omar M Ramahi
Journal:  Sensors (Basel)       Date:  2020-04-22       Impact factor: 3.576

  6 in total

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