A mathematical model for breast cancer lesion estimation: Electrical impedance technique using TS2000 commercial system

Keun Seo Jin; Ohin Kwon; Habib Ammari; Je Woo Eung

doi:10.1109/TBME.2004.834261

A mathematical model for breast cancer lesion estimation: Electrical impedance technique using TS2000 commercial system

Keun Seo Jin
, Ohin Kwon
, Habib Ammari
, Je Woo Eung

Seoul Campus

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

41 Citations (Scopus)

Abstract

We present a mathematical model to analyze transadmittance data for the detection of breast cancer using TransScan TS2000 commercial system. The model was constructed based on the assumption that a lesion exists near the surface of a breast region. The breast region that is considered as a background is assumed to be homogeneous at least near the surface where we attach a planar array of electrodes. Based on the model, we developed a lesion estimation algorithm utilizing single- or multifrequency transadmittance data. The approximate ratio of two conductivity values for the lesion and background needs to be known to estimate the size of the lesion even though the location estimate does not require this ratio. From the results of numerical simulations with added noise, we suggest better ways of interpreting TS2000 transadmittance images for the detection of breast cancer with improved accuracy. Since this study provides a rigorous mathematical modeling of TS2000 commercial system, it will be possible to apply the technique to lesion estimation problems based on more realistic models of breast regions in future studies.

Original language	English
Pages (from-to)	1898-1906
Number of pages	9
Journal	IEEE Transactions on Biomedical Engineering
Volume	51
Issue number	11
DOIs	https://doi.org/10.1109/TBME.2004.834261
Publication status	Published - Nov 2004

Bibliographical note

Funding Information:
Manuscript received November 25, 2002; revised February 29, 2004. This work was supported by the Korea Science and Engineering Foundation under Grant R11-2002-103. The work of H. Ammari was supported by ACI Jeunes Chercheurs(0693) from the Ministry of Education and Scientific Research, France. Asterisk indicates corresponding author.

UN SDGs

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

SDG 3 Good Health and Well-being

Keywords

Breast cancer detection
Lesion estimation algorithm
TS2000 system
Transadmittance

Access to Document

10.1109/TBME.2004.834261

Cite this

@article{eba23353b9ae4a21bb3eff1a5805df3b,

title = "A mathematical model for breast cancer lesion estimation: Electrical impedance technique using TS2000 commercial system",

abstract = "We present a mathematical model to analyze transadmittance data for the detection of breast cancer using TransScan TS2000 commercial system. The model was constructed based on the assumption that a lesion exists near the surface of a breast region. The breast region that is considered as a background is assumed to be homogeneous at least near the surface where we attach a planar array of electrodes. Based on the model, we developed a lesion estimation algorithm utilizing single- or multifrequency transadmittance data. The approximate ratio of two conductivity values for the lesion and background needs to be known to estimate the size of the lesion even though the location estimate does not require this ratio. From the results of numerical simulations with added noise, we suggest better ways of interpreting TS2000 transadmittance images for the detection of breast cancer with improved accuracy. Since this study provides a rigorous mathematical modeling of TS2000 commercial system, it will be possible to apply the technique to lesion estimation problems based on more realistic models of breast regions in future studies.",

keywords = "Breast cancer detection, Lesion estimation algorithm, TS2000 system, Transadmittance",

author = "Jin, \{Keun Seo\} and Ohin Kwon and Habib Ammari and Eung, \{Je Woo\}",

note = "Funding Information: Manuscript received November 25, 2002; revised February 29, 2004. This work was supported by the Korea Science and Engineering Foundation under Grant R11-2002-103. The work of H. Ammari was supported by ACI Jeunes Chercheurs(0693) from the Ministry of Education and Scientific Research, France. Asterisk indicates corresponding author.",

year = "2004",

month = nov,

doi = "10.1109/TBME.2004.834261",

language = "English",

volume = "51",

pages = "1898--1906",

journal = "IEEE Transactions on Biomedical Engineering",

issn = "0018-9294",

publisher = "IEEE Computer Society",

number = "11",

}

TY - JOUR

T1 - A mathematical model for breast cancer lesion estimation

T2 - Electrical impedance technique using TS2000 commercial system

AU - Jin, Keun Seo

AU - Kwon, Ohin

AU - Ammari, Habib

AU - Eung, Je Woo

N1 - Funding Information: Manuscript received November 25, 2002; revised February 29, 2004. This work was supported by the Korea Science and Engineering Foundation under Grant R11-2002-103. The work of H. Ammari was supported by ACI Jeunes Chercheurs(0693) from the Ministry of Education and Scientific Research, France. Asterisk indicates corresponding author.

PY - 2004/11

Y1 - 2004/11

N2 - We present a mathematical model to analyze transadmittance data for the detection of breast cancer using TransScan TS2000 commercial system. The model was constructed based on the assumption that a lesion exists near the surface of a breast region. The breast region that is considered as a background is assumed to be homogeneous at least near the surface where we attach a planar array of electrodes. Based on the model, we developed a lesion estimation algorithm utilizing single- or multifrequency transadmittance data. The approximate ratio of two conductivity values for the lesion and background needs to be known to estimate the size of the lesion even though the location estimate does not require this ratio. From the results of numerical simulations with added noise, we suggest better ways of interpreting TS2000 transadmittance images for the detection of breast cancer with improved accuracy. Since this study provides a rigorous mathematical modeling of TS2000 commercial system, it will be possible to apply the technique to lesion estimation problems based on more realistic models of breast regions in future studies.

AB - We present a mathematical model to analyze transadmittance data for the detection of breast cancer using TransScan TS2000 commercial system. The model was constructed based on the assumption that a lesion exists near the surface of a breast region. The breast region that is considered as a background is assumed to be homogeneous at least near the surface where we attach a planar array of electrodes. Based on the model, we developed a lesion estimation algorithm utilizing single- or multifrequency transadmittance data. The approximate ratio of two conductivity values for the lesion and background needs to be known to estimate the size of the lesion even though the location estimate does not require this ratio. From the results of numerical simulations with added noise, we suggest better ways of interpreting TS2000 transadmittance images for the detection of breast cancer with improved accuracy. Since this study provides a rigorous mathematical modeling of TS2000 commercial system, it will be possible to apply the technique to lesion estimation problems based on more realistic models of breast regions in future studies.

KW - Breast cancer detection

KW - Lesion estimation algorithm

KW - TS2000 system

KW - Transadmittance

UR - https://www.scopus.com/pages/publications/6344284501

U2 - 10.1109/TBME.2004.834261

DO - 10.1109/TBME.2004.834261

M3 - Article

C2 - 15536891

AN - SCOPUS:6344284501

SN - 0018-9294

VL - 51

SP - 1898

EP - 1906

JO - IEEE Transactions on Biomedical Engineering

JF - IEEE Transactions on Biomedical Engineering

IS - 11

ER -

A mathematical model for breast cancer lesion estimation: Electrical impedance technique using TS2000 commercial system

Abstract

Bibliographical note

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this