A direct reconstruction algorithm for electrical impedance tomography

• Published in: IEEE transactions on medical imaging Vol. 21; no. 6; pp. 555 - 559
• Main Authors: Mueller, J.L., Siltanen, S., Isaacson, D.
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.06.2002; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Cancer; Computer Simulation; Conductivity; Diagnosis; Electric Impedance; Electric impedance tomography; Electromagnetic Fields; Geometry; Heart; Heart - anatomy & histology; Heart - physiology; Humans; Image Processing, Computer-Assisted - methods; Image reconstruction; Imaging phantoms; Impedance; Lung - anatomy & histology; Lung - physiology; Mathematical models; Models, Biological; Nonlinear Dynamics; Numerical simulation; Reconstruction algorithms; Thorax - anatomy & histology; Thorax - physiology; Tomography; Tomography - methods; Tumors; Two dimensional displays
• ISSN: 0278-0062; 1558-254X
• DOI: 10.1109/TMI.2002.800574

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.