TY - JOUR
T1 - Magnetic induction tomography
T2 - Evaluation of the point spread function and analysis of resolution and image distortion
AU - Merwa, Robert
AU - Scharfetter, Hermann
N1 - Copyright:
Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2007/7/1
Y1 - 2007/7/1
N2 - Magnetic induction tomography (MIT) is a low-resolution imaging modality used for reconstructing the changes of the passive electrical properties in a target object. For an imaging system, it is very important to give forecasts about the image quality. Both the maximum resolution and the correctness of the location of the inhomogeneities are of major interest. Furthermore, the smallest object which can be detected for a certain noise level is a criterion for the diagnostic value of an image. The properties of an MIT image are dependent on the position inside the object, the conductivity distribution and of course on the location and the number of excitation coils and receiving coils. Quantitative statements cannot be made in general but it is feasible to predict the image quality for a selected problem. For electrical impedance tomography (EIT), the theoretical limits of image quality have been studied carefully and a comprehensive analysis for MIT is necessary. Thus, a simplified analysis on resolution, dimensions and location of an inhomogeneity was carried out by means of an evaluation of the point spread function (PSF). In analogy to EIT the PSF depends strongly on the location, showing the broadest distribution in the centre of the object. Increasing the amount of regularization according to increasing measurement noise, the PSF broadens and its centre is shifted towards the borders of the object. The resolution is indirectly proportional to the width of the PSF and increases when moving from the centre towards the border of the object and decreases with increasing noise.
AB - Magnetic induction tomography (MIT) is a low-resolution imaging modality used for reconstructing the changes of the passive electrical properties in a target object. For an imaging system, it is very important to give forecasts about the image quality. Both the maximum resolution and the correctness of the location of the inhomogeneities are of major interest. Furthermore, the smallest object which can be detected for a certain noise level is a criterion for the diagnostic value of an image. The properties of an MIT image are dependent on the position inside the object, the conductivity distribution and of course on the location and the number of excitation coils and receiving coils. Quantitative statements cannot be made in general but it is feasible to predict the image quality for a selected problem. For electrical impedance tomography (EIT), the theoretical limits of image quality have been studied carefully and a comprehensive analysis for MIT is necessary. Thus, a simplified analysis on resolution, dimensions and location of an inhomogeneity was carried out by means of an evaluation of the point spread function (PSF). In analogy to EIT the PSF depends strongly on the location, showing the broadest distribution in the centre of the object. Increasing the amount of regularization according to increasing measurement noise, the PSF broadens and its centre is shifted towards the borders of the object. The resolution is indirectly proportional to the width of the PSF and increases when moving from the centre towards the border of the object and decreases with increasing noise.
KW - Inverse problem
KW - Magnetic induction tomography
KW - Point spread function
KW - Regularization
KW - Resolution
KW - Models, Biological
KW - Humans
KW - Image Processing, Computer-Assisted/methods
KW - Electric Conductivity
KW - Tomography/methods
KW - Magnetics
UR - http://www.scopus.com/inward/record.url?scp=34447092447&partnerID=8YFLogxK
U2 - 10.1088/0967-3334/28/7/S24
DO - 10.1088/0967-3334/28/7/S24
M3 - Article
C2 - 17664646
SN - 0967-3334
VL - 28
SP - S313-S324
JO - Physiological Measurement
JF - Physiological Measurement
IS - 7
M1 - S24
ER -