Literature DB >> 21210189

Microwave tomography analysis system for breast tumor detection.

Ki-Chul Kwon1, Young-Tae Lim, Chul-Ho Kim, Nam Kim, Chan Park, Kwan-Hee Yoo, Seong-Ho Son, Soon-Ik Jeon.   

Abstract

In the breast-cancer image detection device field, remarkable advancements have been made in the breast cancer detection method using microwave radiation that satisfies the conditions required by Institute of Medicine (IOM). This paper is for embodying the microwave analysis breast tumor detection system that can analyze the permittivity and the conductivity of the breast inside, discover breast tumors, and easily check the various analytical information of the scatter and size of tumors inside breasts. The microwave breast tumor detection system is composed of an antenna array and the RF transceiver for the acquiring of microwave exposure information; the inverse scattering algorithm for searching the permitivity, conductivity and position of a material, and graphic user interface software that includes the visualization and various analyses of acquired data. The embodied system has shown the same-level function of tumor detection even in the type of heterogeneously dense material that is difficult to detect through mammography by experimentations with four kinds of classifications according to the distribution of lactiferous duct inside the breast.

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Year:  2011        PMID: 21210189     DOI: 10.1007/s10916-010-9635-4

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  7 in total

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Journal:  IEEE Trans Biomed Eng       Date:  2001-09       Impact factor: 4.538

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Journal:  IEEE Trans Biomed Eng       Date:  1998-12       Impact factor: 4.538

  7 in total
  7 in total

1.  A Type-2 Fuzzy Image Processing Expert System for Diagnosing Brain Tumors.

Authors:  M Zarinbal; M H Fazel Zarandi; I B Turksen; M Izadi
Journal:  J Med Syst       Date:  2015-08-15       Impact factor: 4.460

2.  3D parallel-detection microwave tomography for clinical breast imaging.

Authors:  N R Epstein; P M Meaney; K D Paulsen
Journal:  Rev Sci Instrum       Date:  2014-12       Impact factor: 1.523

3.  Modeling of the dielectric properties of trabecular bone samples at microwave frequency.

Authors:  Ramiro M Irastorza; Eugenia Blangino; Carlos M Carlevaro; Fernando Vericat
Journal:  Med Biol Eng Comput       Date:  2014-03-20       Impact factor: 2.602

4.  Advances in Microwave Near-Field Imaging: Prototypes, Systems, and Applications.

Authors:  Wenyi Shao; Todd McCollough
Journal:  IEEE Microw Mag       Date:  2020-03-31       Impact factor: 2.714

Review 5.  Microwave Imaging for Early Breast Cancer Detection: Current State, Challenges, and Future Directions.

Authors:  Nour AlSawaftah; Salma El-Abed; Salam Dhou; Amer Zakaria
Journal:  J Imaging       Date:  2022-04-23

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Journal:  Int J Biomed Imaging       Date:  2016-12-21

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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

  7 in total

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