Time-difference imaging of magnetic induction tomography in a three-layer brain physical phantom

Magnetic induction tomography (MIT) is a contactless and noninvasive technique to reconstruct the conductivity distribution in a human cross-section. In this paper, we want to study the feasibility of imaging the low-contrast perturbation and small volume object in human brains. We construct a three-layer brain physical phantom which mimics the real conductivity distribution of brains by introducing an artificial skull layer. Using our MIT data acquisition system on this phantom and differential algorithm, we have obtained a series of reconstructed images of conductivity perturbation objects. All of the conductivity perturbation objects in the brain phantom can be clearly distinguished in the reconstructed images. The minimum detectable conductivity difference between the object and the background is 0.03 S m−1 (12.5%). The minimum detectable inner volume of the objects is 3.4 cm3. The three-layer brain physical phantom is able to simulate the conductivity distribution of the main structures of a human brain. The images of the low-contrast perturbation and small volume object show the prospect of MIT in the future.

[1]  Ye Li,et al.  A Magnetic Induction Tomography System Using Fully Synchronous Phase Detection , 2009, 2009 3rd International Conference on Bioinformatics and Biomedical Engineering.

[2]  Xuetao Shi,et al.  Preliminary imaging results of magnetic induction tomography based on physical phantom. , 2008, Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference.

[3]  H Griffiths,et al.  Magnetic Induction Tomography: A Measuring System for Biological Tissues , 1999, Annals of the New York Academy of Sciences.

[4]  Hermann Scharfetter,et al.  Single-Step 3-D Image Reconstruction in Magnetic Induction Tomography: Theoretical Limits of Spatial Resolution and Contrast to Noise Ratio , 2006, Annals of Biomedical Engineering.

[5]  Liu Ruigang,et al.  The Influence of Position to Phase and Magnitude Detecting in Medical Magnetic Induction Imaging , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.

[6]  Y Maimaitijiang,et al.  Approaches for improving image quality in magnetic induction tomography. , 2010, Physiological measurement.

[7]  Wei He,et al.  A multi-channel magnetic induction tomography measurement system for human brain model imaging. , 2009, Physiological measurement.

[8]  D Gürsoy,et al.  Reconstruction artefacts in magnetic induction tomography due to patient's movement during data acquisition , 2009, Physiological measurement.

[9]  Hermann Scharfetter,et al.  Numerical solution of the general 3D eddy current problem for magnetic induction tomography (spectroscopy). , 2003, Physiological measurement.

[10]  C H Igney,et al.  A measurement system and image reconstruction in magnetic induction tomography. , 2008, Physiological measurement.

[11]  Hermann Scharfetter,et al.  Detection of brain oedema using magnetic induction tomography: a feasibility study of the likely sensitivity and detectability. , 2004, Physiological measurement.

[12]  Yue Xiu-li,et al.  Multifunctional magnetic nanoparticles for magnetic resonance image-guided photothermal therapy for cancer , 2014 .

[13]  A Korjenevsky,et al.  Magnetic induction tomography: experimental realization. , 2000, Physiological measurement.

[14]  R. Merwa,et al.  Numerical simulation of the eddy current problem in magnetic induction tomography for biomedical applications by edge elements , 2004, IEEE Transactions on Magnetics.

[15]  H Griffiths,et al.  Frequency-difference MIT imaging of cerebral haemorrhage with a hemispherical coil array: numerical modelling. , 2010, Physiological measurement.

[16]  Feng Fu,et al.  Image reconstruction for Magnetic Induction Tomography and Preliminary simulations on a simple head model , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[17]  Thom F. Oostendorp,et al.  The conductivity of the human skull: results of in vivo and in vitro measurements , 2000, IEEE Transactions on Biomedical Engineering.