A theoretical analysis of noise in electrical impedance tomographic images

This paper theoretically analyses the propagation of measurement noise in Electrical Impedance Tomography (EIT) and its influence in image noise. The authors compare the behavior of three backprojection algorithms in front of noise. They present close-form approximated expressions for noise power in EIT. EIT image noise is argued to be gaussian distributed but with spatially variant statistics. There is a linear relation between measurement noise reduction and reduction in image noise. The study was validated with numerical simulation.

[1]  B H Brown,et al.  Noise and spatial resolution of a real-time electrical impedance tomograph. , 1992, Clinical physics and physiological measurement : an official journal of the Hospital Physicists' Association, Deutsche Gesellschaft fur Medizinische Physik and the European Federation of Organisations for Medical Physics.

[2]  B.H. Brown,et al.  Noise And Spatial Resolution In Images From A Real-time Electrical Impedance Tomograph , 1991, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society Volume 13: 1991.

[3]  K. Leblebicioglu,et al.  Analytic and semi-analytic solutions in electrical impedance tomography: I. Two-dimensional problems. , 1995, Physiological measurement.

[4]  N. C. Barford.  Experimental Measurements: Precision, Error and Truth , 1967 .

[5]  P Riu,et al.  Quantification in multifrequency tomography. , 1995, Physiological measurement.

[6]  John G. Proakis,et al.  Probability, random variables and stochastic processes , 1985, IEEE Trans. Acoust. Speech Signal Process..

[7]  M K Pidcock,et al.  Analytic and semi-analytic solutions in electrical impedance tomography: II. Three-dimensional problems. , 1995, Physiological measurement.

[8]  P. King.  Medical imaging systems , 1986, Proceedings of the IEEE.

[9]  Albert Macovski,et al.  Medical imaging systems , 1983 .

[10]  Brian H. Brown,et al.  Imaging spatial distributions of resistivity using applied potential tomography , 1983 .

[11]  B. Brown,et al.  Recent Developments in Applied Potential Tomography-APT , 1986 .