Title :
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
fDate :
6/1/2002 12:00:00 AM
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;
Journal_Title :
Medical Imaging, IEEE Transactions on
DOI :
10.1109/TMI.2002.800574
