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Updated: May 14, 2026
10:51
Modeling Breast Cancer in Human Breast Tissue using a Microphysiological System
Published on: April 23, 2021
A linear, time-invariant model for cancerous and normal breast tissue
1Minnesota State University, Mankato, Iron Range Engineering Program, Mankato 55792, USA. Mohammad.habibi@mnsu.edu
Summary
This study models electrical impedance data from human breast tissue using a novel filter. The filter parameters effectively classify tissue types and offer insights into tissue structure, improving upon traditional methods.
Area of Science:
- Biophysics
- Electrical Engineering
- Medical Diagnostics
Background:
- Electrical properties of biological tissues are utilized for cancer detection.
- Current methods fit dielectric spectra to empirical functions, lacking molecular structural insights.
Purpose of the Study:
- To model the frequency dependence of human breast tissue impedance data.
- To develop a method for tissue classification and structural analysis using electrical properties.
Main Methods:
- Utilized a high-order, linear, time-invariant filter to model impedance data.
- Analyzed frequency-dependent impedance spectra from human breast tissue samples.
Main Results:
- The filter parameters demonstrated efficacy in classifying different tissue types.
- The parameters derived from the filter model may reveal meaningful information about tissue properties and structure.
Conclusions:
- A linear, time-invariant filter model provides a robust method for analyzing tissue electrical properties.
- This approach enhances tissue classification accuracy and offers deeper structural understanding compared to empirical fitting.
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