A direct reconstruction algorithm for electrical impedance tomography

Author

Mueller, Jennifer L. ; Siltanen, Samuli ; Isaacson, David

Author_Institution

Colorado State Univ., Fort Collins, CO, USA

Volume

21

Issue

6

fYear

2002

fDate

6/1/2002 12:00:00 AM

Firstpage

555

Lastpage

559

Abstract

A direct (noniterative) reconstruction algorithm for electrical impedance tomography in the two-dimensional (2-D), cross-sectional geometry is reviewed. New results of a reconstruction of a numerically simulated phantom chest are presented. The algorithm is based on the mathematical uniqueness proof by A.I. Nachman [1996] for the 2-D inverse conductivity problem. In this geometry, several of the clinical applications include monitoring heart and lung function, diagnosis of pulmonary embolus, diagnosis of pulmonary edema, monitoring for internal bleeding, and the early detection of breast cancer.

Keywords

cancer; cardiology; electric impedance imaging; image reconstruction; inverse problems; lung; medical image processing; numerical analysis; patient monitoring; physiological models; 2-D inverse conductivity problem; breast cancer early detection; cross-sectional geometry; electrical impedance tomography; heart function monitoring; internal bleeding; lung function monitoring; mathematical uniqueness proof; medical diagnostic imaging; numerically simulated phantom chest; pulmonary edema diagnosis; Cancer; Conductivity; Geometry; Heart; Imaging phantoms; Impedance; Numerical simulation; Reconstruction algorithms; Tomography; Two dimensional displays; Algorithms; Computer Simulation; Electric Impedance; Electromagnetic Fields; Heart; Humans; Image Processing, Computer-Assisted; Lung; Models, Biological; Nonlinear Dynamics; Thorax; Tomography;

fLanguage

English

Journal_Title

Medical Imaging, IEEE Transactions on

Publisher

ieee

ISSN

0278-0062

Type

jour

DOI

10.1109/TMI.2002.800574

Filename

1021919