Modular and Portable System Design for 3D Imaging of Breast Tumors Using Electrical Impedance Tomography

This paper presents a prototype of a portable and modular electrical impedance tomography (EIT) system for breast tumor detection. The proposed system uses MATLAB to generate three-dimensional representations of breast tissue. The modular architecture of the system allows for flexible customization...

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Bibliographic Details
Published inSensors (Basel, Switzerland) Vol. 24; no. 19; p. 6370
Main Authors Gómez Cortés, Juan Carlos, Diaz Carmona, José Javier, Barranco Gutiérrez, Alejandro Israel, Padilla Medina, José Alfredo, Alonso Ramírez, Adán Antonio, Morales Viscaya, Joel Artemio, Villegas-Saucillo, J Jesús, Prado Olivarez, Juan
Format Journal Article
LanguageEnglish
Published Switzerland MDPI AG 30.09.2024
MDPI
Subjects
3D electrical impedance tomography
Accuracy
Adaptation
Breast cancer
Breast Neoplasms - diagnosis
Breast Neoplasms - diagnostic imaging
Customization
Design
Dielectric properties
Electric Impedance
Electrodes
Equipment Design
Female
health technology
Humans
Imaging, Three-Dimensional - methods
Localization
Mammography
Medical diagnosis
Medical imaging
Medical imaging equipment
Medical research
Medical screening
Radiation
Simulation
Three dimensional imaging
Tissues
Tomography
Tomography - instrumentation
Tomography - methods
tumor detection
Tumors
Mexico
3D electrical impedance tomography
tumor detection
health technology
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Summary:This paper presents a prototype of a portable and modular electrical impedance tomography (EIT) system for breast tumor detection. The proposed system uses MATLAB to generate three-dimensional representations of breast tissue. The modular architecture of the system allows for flexible customization and scalability. It consists of several interconnected modules. Each module can be easily replaced or upgraded, facilitating system maintenance and future enhancements. Testing of the prototype has shown promising results in preliminary screening based on experimental studies. Agar models were used for the experimental stage of this project. The 3D representations provide clinicians with valuable information for accurate diagnosis and treatment planning. Further research and refinement of the system is warranted to validate its performance in future clinical trials.
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ISSN:1424-8220
1424-8220
DOI:10.3390/s24196370