Literature DB >> 11534841

Computational modeling of three-dimensional microwave tomography of breast cancer.

A E Bulyshev1, S Y Semenov, A E Souvorov, R H Svenson, A G Nazarov, Y E Sizov, G P Tatsis.   

Abstract

Microwave tomographic approach is proposed to detect and image breast cancers. Taking into account the big difference in dielectrical properties between normal and malignant tissues, we have proposed using the microwave tomographic method to image a human breast. Because of the anatomical features of the objects, this case has to be referred to the tomography with a limited angle of observation. As a result of computer experiments we have established that multiview cylindrical configurations are able to provide microwave tomograms of the breast with a small size tumor inside. Using the gradient method, we have developed a computer code to create images of the three-dimensional objects in dielectrical properties on microwave frequencies.

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Year:  2001        PMID: 11534841     DOI: 10.1109/10.942596

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


  17 in total

1.  Three-dimensional microwave imaging of realistic numerical breast phantoms via a multiple-frequency inverse scattering technique.

Authors:  Jacob D Shea; Panagiotis Kosmas; Susan C Hagness; Barry D Van Veen
Journal:  Med Phys       Date:  2010-08       Impact factor: 4.071

2.  Initial clinical experience with microwave breast imaging in women with normal mammography.

Authors:  Paul M Meaney; Margaret W Fanning; Timothy Raynolds; Colleen J Fox; Qianqian Fang; Christine A Kogel; Steven P Poplack; Keith D Paulsen
Journal:  Acad Radiol       Date:  2007-02       Impact factor: 3.173

3.  Dual-Band Miniaturized Patch Antennas for Microwave Breast Imaging.

Authors:  Mudar A Al-Joumayly; Suzette M Aguilar; Nader Behdad; Susan C Hagness
Journal:  IEEE Antennas Wirel Propag Lett       Date:  2010-03-18       Impact factor: 3.834

4.  Microwave tomography analysis system for breast tumor detection.

Authors:  Ki-Chul Kwon; Young-Tae Lim; Chul-Ho Kim; Nam Kim; Chan Park; Kwan-Hee Yoo; Seong-Ho Son; Soon-Ik Jeon
Journal:  J Med Syst       Date:  2011-01-06       Impact factor: 4.460

5.  Contrast-enhanced microwave imaging of breast tumors: a computational study using 3-D realistic numerical phantoms.

Authors:  J D Shea; P Kosmas; B D Van Veen; S C Hagness
Journal:  Inverse Probl       Date:  2010-07-01       Impact factor: 2.407

6.  A Sparsity Regularization Approach to the Electromagnetic Inverse Scattering Problem.

Authors:  David W Winters; Barry D Van Veen; Susan C Hagness
Journal:  IEEE Trans Antennas Propag       Date:  2010-01-01       Impact factor: 4.388

7.  Three-dimensional microwave breast imaging: dispersive dielectric properties estimation using patient-specific basis functions.

Authors:  David W Winters; Jacob D Shea; Panagiotis Kosmas; Barry D Van Veen; Susan C Hagness
Journal:  IEEE Trans Med Imaging       Date:  2009-02-10       Impact factor: 10.048

8.  Fast 3-d tomographic microwave imaging for breast cancer detection.

Authors:  Tomasz M Grzegorczyk; Paul M Meaney; Peter A Kaufman; Roberta M diFlorio-Alexander; Keith D Paulsen
Journal:  IEEE Trans Med Imaging       Date:  2012-05-02       Impact factor: 10.048

9.  Discrete Dipole Approximation-Based Microwave Tomography for Fast Breast Cancer Imaging.

Authors:  Samar Hosseinzadegan; Andreas Fhager; Mikael Persson; Shireen Geimer; Paul M Meaney
Journal:  IEEE Trans Microw Theory Tech       Date:  2021-03-05       Impact factor: 3.599

10.  Optimal reference sequence selection for genome assembly using minimum description length principle.

Authors:  Bilal Wajid; Erchin Serpedin; Mohamed Nounou; Hazem Nounou
Journal:  EURASIP J Bioinform Syst Biol       Date:  2012-11-27
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