Microwave Imaging for Breast Cancer Detection: Comparison of Tomographic Imaging Algorithms using Single-Frequency and Time-Domain Data

Tonny Rubæk; Andreas Fhager; Peter Damsgaard Jensen; Johan Jacob Mohr; Mikael Persson

doi:10.1109/URSIGASS.2011.6051370

Microwave Imaging for Breast Cancer Detection: Comparison of Tomographic Imaging Algorithms using Single-Frequency and Time-Domain Data

Tonny Rubæk
, Andreas Fhager
, Peter Damsgaard Jensen
, Johan Jacob Mohr
, Mikael Persson

Chalmers University of Technology

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Abstract

Still more research groups are promoting microwave imaging as a viable supplement or substitution to more conventional imaging modalities. A widespread approach for microwave imaging of the breast is tomographic imaging in which one seeks to reconstruct the distributions of permittivity and conductivity in the breast. In this paper two nonlinear tomographic algorithms are compared – one is a single-frequency algorithm and the other is a time-domain algorithm.

Original language	English
Title of host publication	2011 30th URSI General Assembly and Scientific Symposium
Publisher	Union Radio Scientifique Internationale
Publication date	2011
ISBN (Print)	9781424451173
DOIs	https://doi.org/10.1109/URSIGASS.2011.6051370
Publication status	Published - 2011
Event	30th URSI General Assembly and Scientific Symposium - Istanbul, Turkey Duration: 13 Aug 2011 → 20 Aug 2011 Conference number: 30

Conference

Conference	30th URSI General Assembly and Scientific Symposium
Number	30
Country/Territory	Turkey
City	Istanbul
Period	13/08/2011 → 20/08/2011

UN SDGs

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

SDG 3 Good Health and Well-being

Keywords

Time domain analysis
Microwave imaging
Conductivity
Breast
Image reconstruction
Permittivity

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10.1109/URSIGASS.2011.6051370

Ursipaper2011

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@inproceedings{138ea834c23f4680a8d66ae8a478676d,

title = "Microwave Imaging for Breast Cancer Detection: Comparison of Tomographic Imaging Algorithms using Single-Frequency and Time-Domain Data",

abstract = "Still more research groups are promoting microwave imaging as a viable supplement or substitution to more conventional imaging modalities. A widespread approach for microwave imaging of the breast is tomographic imaging in which one seeks to reconstruct the distributions of permittivity and conductivity in the breast. In this paper two nonlinear tomographic algorithms are compared {\textendash} one is a single-frequency algorithm and the other is a time-domain algorithm.",

keywords = "Time domain analysis, Microwave imaging, Conductivity, Breast, Image reconstruction, Permittivity",

author = "Tonny Rub{\ae}k and Andreas Fhager and Jensen, \{Peter Damsgaard\} and Mohr, \{Johan Jacob\} and Mikael Persson",

year = "2011",

doi = "10.1109/URSIGASS.2011.6051370",

language = "English",

isbn = "9781424451173",

booktitle = "2011 30th URSI General Assembly and Scientific Symposium",

publisher = "Union Radio Scientifique Internationale",

note = "30th URSI General Assembly and Scientific Symposium ; Conference date: 13-08-2011 Through 20-08-2011",

}

Rubæk, T, Fhager, A, Jensen, PD, Mohr, JJ & Persson, M 2011, Microwave Imaging for Breast Cancer Detection: Comparison of Tomographic Imaging Algorithms using Single-Frequency and Time-Domain Data. in 2011 30th URSI General Assembly and Scientific Symposium. Union Radio Scientifique Internationale, 30th URSI General Assembly and Scientific Symposium, Istanbul, Turkey, 13/08/2011. https://doi.org/10.1109/URSIGASS.2011.6051370

Microwave Imaging for Breast Cancer Detection: Comparison of Tomographic Imaging Algorithms using Single-Frequency and Time-Domain Data. / Rubæk, Tonny; Fhager, Andreas; Jensen, Peter Damsgaard et al.
2011 30th URSI General Assembly and Scientific Symposium. Union Radio Scientifique Internationale, 2011.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

TY - GEN

T1 - Microwave Imaging for Breast Cancer Detection

T2 - 30th URSI General Assembly and Scientific Symposium

AU - Rubæk, Tonny

AU - Fhager, Andreas

AU - Jensen, Peter Damsgaard

AU - Mohr, Johan Jacob

AU - Persson, Mikael

N1 - Conference code: 30

PY - 2011

Y1 - 2011

N2 - Still more research groups are promoting microwave imaging as a viable supplement or substitution to more conventional imaging modalities. A widespread approach for microwave imaging of the breast is tomographic imaging in which one seeks to reconstruct the distributions of permittivity and conductivity in the breast. In this paper two nonlinear tomographic algorithms are compared – one is a single-frequency algorithm and the other is a time-domain algorithm.

AB - Still more research groups are promoting microwave imaging as a viable supplement or substitution to more conventional imaging modalities. A widespread approach for microwave imaging of the breast is tomographic imaging in which one seeks to reconstruct the distributions of permittivity and conductivity in the breast. In this paper two nonlinear tomographic algorithms are compared – one is a single-frequency algorithm and the other is a time-domain algorithm.

KW - Time domain analysis

KW - Microwave imaging

KW - Conductivity

KW - Breast

KW - Image reconstruction

KW - Permittivity

U2 - 10.1109/URSIGASS.2011.6051370

DO - 10.1109/URSIGASS.2011.6051370

M3 - Article in proceedings

SN - 9781424451173

BT - 2011 30th URSI General Assembly and Scientific Symposium

PB - Union Radio Scientifique Internationale

Y2 - 13 August 2011 through 20 August 2011

ER -

Microwave Imaging for Breast Cancer Detection: Comparison of Tomographic Imaging Algorithms using Single-Frequency and Time-Domain Data

Abstract

Conference

UN SDGs

Keywords

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