EIT 40-Electrodes Breast Cancer Detection and Screening

Sofiene Mansouri; Souhir Chabchoub; Yousef Alharbi; Anwar Mohammad Alshrouf

doi:10.1002/tee.23605

EIT 40-Electrodes Breast Cancer Detection and Screening

Sofiene Mansouri, Souhir Chabchoub, Yousef Alharbi, Anwar Mohammad Alshrouf

Biomedical Technology

Université de Tunis El Manar

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

6 Scopus citations

Abstract

In this paper, we presented a new electrical impedance tomography (EIT) method for the early detection of breast cancer. We designed a breast phantom comprising three tumors of different sizes. We tested the reconstruction of the image of this breast using 16, 24, 32 and 40 electrodes. The electrodes were placed according to a static, adapted and dynamic mode. The quality of the reconstruction was carried out by the root mean square error (RMSE). The best result was obtained with 40-electrodes system and dynamic mode. The image reconstruction was improved by a segmentation, an edge detection by Canny filter and a morphological closure filter. This system allowed the detection of a T₁ tumor.

Original language	English
Pages (from-to)	1141-1147
Number of pages	7
Journal	IEEJ Transactions on Electrical and Electronic Engineering
Volume	17
Issue number	8
DOIs	https://doi.org/10.1002/tee.23605
State	Published - Aug 2022

Keywords

breast cancer detection
canny filter
EIT
image reconstruction
RMSE

UN SDGs

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

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10.1002/tee.23605

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title = "EIT 40-Electrodes Breast Cancer Detection and Screening",

abstract = "In this paper, we presented a new electrical impedance tomography (EIT) method for the early detection of breast cancer. We designed a breast phantom comprising three tumors of different sizes. We tested the reconstruction of the image of this breast using 16, 24, 32 and 40 electrodes. The electrodes were placed according to a static, adapted and dynamic mode. The quality of the reconstruction was carried out by the root mean square error (RMSE). The best result was obtained with 40-electrodes system and dynamic mode. The image reconstruction was improved by a segmentation, an edge detection by Canny filter and a morphological closure filter. This system allowed the detection of a T1 tumor.",

keywords = "breast cancer detection, canny filter, EIT, image reconstruction, RMSE",

author = "Sofiene Mansouri and Souhir Chabchoub and Yousef Alharbi and \{Mohammad Alshrouf\}, Anwar",

note = "Publisher Copyright: {\textcopyright} 2022 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.",

year = "2022",

month = aug,

doi = "10.1002/tee.23605",

language = "English",

volume = "17",

pages = "1141--1147",

journal = "IEEJ Transactions on Electrical and Electronic Engineering",

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T1 - EIT 40-Electrodes Breast Cancer Detection and Screening

AU - Mansouri, Sofiene

AU - Chabchoub, Souhir

AU - Alharbi, Yousef

AU - Mohammad Alshrouf, Anwar

PY - 2022/8

Y1 - 2022/8

N2 - In this paper, we presented a new electrical impedance tomography (EIT) method for the early detection of breast cancer. We designed a breast phantom comprising three tumors of different sizes. We tested the reconstruction of the image of this breast using 16, 24, 32 and 40 electrodes. The electrodes were placed according to a static, adapted and dynamic mode. The quality of the reconstruction was carried out by the root mean square error (RMSE). The best result was obtained with 40-electrodes system and dynamic mode. The image reconstruction was improved by a segmentation, an edge detection by Canny filter and a morphological closure filter. This system allowed the detection of a T1 tumor.

AB - In this paper, we presented a new electrical impedance tomography (EIT) method for the early detection of breast cancer. We designed a breast phantom comprising three tumors of different sizes. We tested the reconstruction of the image of this breast using 16, 24, 32 and 40 electrodes. The electrodes were placed according to a static, adapted and dynamic mode. The quality of the reconstruction was carried out by the root mean square error (RMSE). The best result was obtained with 40-electrodes system and dynamic mode. The image reconstruction was improved by a segmentation, an edge detection by Canny filter and a morphological closure filter. This system allowed the detection of a T1 tumor.

KW - breast cancer detection

KW - canny filter

KW - EIT

KW - image reconstruction

KW - RMSE

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SP - 1141

EP - 1147

JO - IEEJ Transactions on Electrical and Electronic Engineering

JF - IEEJ Transactions on Electrical and Electronic Engineering

IS - 8

ER -

EIT 40-Electrodes Breast Cancer Detection and Screening

Abstract

Keywords

UN SDGs

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