Simulation inverse problems of reconstruction of image data using patterned electrical impedance tomography female breast

Author

Ferreira, Helber R. ; Bustos, Harold I. A. ; Figuerola, Wilfredo B.

Author_Institution

Dept. of Inf., Brazil Univ. of Rio Grande do Norte, Rio Grande, Brazil

fYear

2014

Firstpage

1

Lastpage

6

Abstract

This article analyzes the performance of the Electrical Impedance Tomography (EIT) technique in the diagnosis of breast cancer. The simulations used EIDORS (Electrical Impedance Tomography and Diffuse Optical Tomography Reconstruction Software) and OCTAVE, a computational tool for numerical calculation. We compared three algorithms: prior Laplace, NOSER and Tikhonov. The NOSER algorithm obtained the best classification according to performance metrics of proximity between neoplasms, where this factor changes the resolution of the reconstruction images generated depending on the chosen algorithm.

Keywords

biomedical optical imaging; cancer; electric impedance imaging; gynaecology; image reconstruction; medical image processing; optical tomography; patient diagnosis; EIDORS; EIT; Laplace; NOSER; OCTAVE; Tikhonov; breast cancer diagnosis; electrical impedance tomography and diffuse optical tomography reconstruction software; female breast; image data reconstruction; neoplasms; patterned electrical impedance tomography; performance metrics; simulation inverse problems; Classification algorithms; Conductivity; Electrodes; Euclidean distance; Image reconstruction; Inverse problems; Tomography; eidors; impedance; reconstruction; tomography;

fLanguage

English

Publisher

ieee

Conference_Titel

e-Health Networking, Applications and Services (Healthcom), 2014 IEEE 16th International Conference on

Type

conf

DOI

10.1109/HealthCom.2014.7123253

Filename

7123253