A New Infinite Impulse Response (IIR) Model for Cancerous and Normal Breast Tissue
Location
CSU Ballroom
Start Date
9-4-2012 10:00 AM
End Date
9-4-2012 11:30 AM
Student's Major
Integrated Engineering
Student's College
Science, Engineering and Technology
Mentor's Name
Mohammad Habibi
Mentor's Department
Integrated Engineering
Mentor's College
Science, Engineering and Technology
Description
Electrical properties (permittivity and conductivity) have been used to characterize different materials, especially human tissue. There is strong evidence that different types of human tissues have varying electrical properties, however quantitatively interpreting the electrical data has been a challenge. Although several empirical functions, e.g. Debye, Cole-Cole, have been employed to express the data, the explanation of the parameters has been vague. In this work, we present a novel method which includes describing the data using an analog filter. We used the electrical property data which were collected from a number of patients in the radio and microwave frequency and has been recently published. The published data represent the frequency response of human breast tissue. This data also approves that human tissue acts like an analog filter. In this paper, we first converted the data into a transfer function and then realized it as an IIR filter by using filter realization techniques, such as direct and canonic forms. We obtained two different models for normal and cancerous human breast tissue. We concluded that various filter parameters such as degree, and the location of poles and zeros can be used to differentiate between cancerous and normal tissue and to justify the properties of each.
A New Infinite Impulse Response (IIR) Model for Cancerous and Normal Breast Tissue
CSU Ballroom
Electrical properties (permittivity and conductivity) have been used to characterize different materials, especially human tissue. There is strong evidence that different types of human tissues have varying electrical properties, however quantitatively interpreting the electrical data has been a challenge. Although several empirical functions, e.g. Debye, Cole-Cole, have been employed to express the data, the explanation of the parameters has been vague. In this work, we present a novel method which includes describing the data using an analog filter. We used the electrical property data which were collected from a number of patients in the radio and microwave frequency and has been recently published. The published data represent the frequency response of human breast tissue. This data also approves that human tissue acts like an analog filter. In this paper, we first converted the data into a transfer function and then realized it as an IIR filter by using filter realization techniques, such as direct and canonic forms. We obtained two different models for normal and cancerous human breast tissue. We concluded that various filter parameters such as degree, and the location of poles and zeros can be used to differentiate between cancerous and normal tissue and to justify the properties of each.
Recommended Citation
Diep, Eric and Nicholas Esler. "A New Infinite Impulse Response (IIR) Model for Cancerous and Normal Breast Tissue." Undergraduate Research Symposium, Mankato, MN, April 9, 2012.
https://cornerstone.lib.mnsu.edu/urs/2012/poster-session-A/44
