RF breast cancer detection employing a noncharacterized vivaldi antenna and a MUSIC-inspired algorithm

Giuseppe Ruvio; Raffaele Solimene; Antonietta D'Alterio; Max J. Ammann; Rocco Pierri

doi:10.1002/mmce.20694

RF breast cancer detection employing a noncharacterized vivaldi antenna and a MUSIC-inspired algorithm

Giuseppe Ruvio
, Raffaele Solimene
, Antonietta D'Alterio
, Max J. Ammann
, Rocco Pierri

Research output: Contribution to journal › Article › peer-review

Abstract

A novel microwave breast cancer detection system consisting of an Evolutionary Global Optimized Vivaldi antenna and an algorithm inspired by MUltiple SIgnal Classification (MUSIC) is presented. Its performance is assessed by using a simplified numerical breast phantom for a number of critical conditions including the presence of fibroglandular tissues.

Original language	English
Pages (from-to)	598-609
Number of pages	12
Journal	International Journal of RF and Microwave Computer-Aided Engineering
Volume	23
Issue number	5
DOIs	https://doi.org/10.1002/mmce.20694
Publication status	Published - Sep 2013

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

breast cancer detection
electromagnetic inverse scattering
wide band antennas

Access to Document

10.1002/mmce.20694

https://arrow.tudublin.ie/ahfrcart/54Licence: CC BY-NC-SA

Cite this

@article{85bd141510c442dc82b79bcd1f94a1e9,

title = "RF breast cancer detection employing a noncharacterized vivaldi antenna and a MUSIC-inspired algorithm",

abstract = "A novel microwave breast cancer detection system consisting of an Evolutionary Global Optimized Vivaldi antenna and an algorithm inspired by MUltiple SIgnal Classification (MUSIC) is presented. Its performance is assessed by using a simplified numerical breast phantom for a number of critical conditions including the presence of fibroglandular tissues.",

keywords = "breast cancer detection, electromagnetic inverse scattering, wide band antennas",

author = "Giuseppe Ruvio and Raffaele Solimene and Antonietta D'Alterio and Ammann, \{Max J.\} and Rocco Pierri",

year = "2013",

month = sep,

doi = "10.1002/mmce.20694",

language = "English",

volume = "23",

pages = "598--609",

journal = "International Journal of RF and Microwave Computer-Aided Engineering",

issn = "1096-4290",

publisher = "John Wiley and Sons Inc.",

number = "5",

}

TY - JOUR

T1 - RF breast cancer detection employing a noncharacterized vivaldi antenna and a MUSIC-inspired algorithm

AU - Ruvio, Giuseppe

AU - Solimene, Raffaele

AU - D'Alterio, Antonietta

AU - Ammann, Max J.

AU - Pierri, Rocco

PY - 2013/9

Y1 - 2013/9

N2 - A novel microwave breast cancer detection system consisting of an Evolutionary Global Optimized Vivaldi antenna and an algorithm inspired by MUltiple SIgnal Classification (MUSIC) is presented. Its performance is assessed by using a simplified numerical breast phantom for a number of critical conditions including the presence of fibroglandular tissues.

AB - A novel microwave breast cancer detection system consisting of an Evolutionary Global Optimized Vivaldi antenna and an algorithm inspired by MUltiple SIgnal Classification (MUSIC) is presented. Its performance is assessed by using a simplified numerical breast phantom for a number of critical conditions including the presence of fibroglandular tissues.

KW - breast cancer detection

KW - electromagnetic inverse scattering

KW - wide band antennas

UR - https://www.scopus.com/pages/publications/84881114030

U2 - 10.1002/mmce.20694

DO - 10.1002/mmce.20694

M3 - Article

AN - SCOPUS:84881114030

SN - 1096-4290

VL - 23

SP - 598

EP - 609

JO - International Journal of RF and Microwave Computer-Aided Engineering

JF - International Journal of RF and Microwave Computer-Aided Engineering

IS - 5

ER -

RF breast cancer detection employing a noncharacterized vivaldi antenna and a MUSIC-inspired algorithm

Abstract

UN SDGs

Keywords

Access to Document

Fingerprint

Cite this