A Controllably Anisotropic Conductivity or Diffusion Phantom Constructed from Isotropic Layers

Phantoms with controllable and well-defined anisotropy are needed to test methods for imaging electrical anisotropy. We developed and tested a phantom that had properties similar to a homogeneous anisotropic conductive medium. The phantom was constructed with alternate slices of isotropic gel having different conductivities. The degree of anisotropy in the phantom could be varied easily by changing the relative conductivity of the two gels. We tested the stability of several phantoms and found their properties were maintained for approximately 8 h following construction. The phantom has application to electrical impedance tomography, magnetic resonance electrical impedance tomography, EEG and ECG source imaging and diffusion tensor imaging.

[1]  Eung Je Woo,et al.  Validation of a multi-frequency electrical impedance tomography (mfEIT) system KHU Mark1: impedance spectroscopy and time-difference imaging , 2008, Physiological measurement.

[2]  Michel Osteaux,et al.  Echo planar magnetic resonance imaging of anisotropic diffusion in asparagus stems , 2001, Magnetic Resonance Materials in Physics, Biology and Medicine.

[3]  M. E. Bellemann,et al.  Anisotropic Phantoms for Quantitative Diffusion Tensor Imaging and Fiber-Tracking Validation , 2008 .

[4]  Jens Haueisen,et al.  Influence of anisotropic compartments on magnetic field and electric potential distributions generated by artificial current dipoles inside a torso phantom , 2008, Physics in medicine and biology.

[5]  L. Geddes,et al.  The specific resistance of biological material—A compendium of data for the biomedical engineer and physiologist , 1967, Medical and biological engineering.

[6]  C. Henriquez,et al.  Estimation of Cardiac Bidomain Parameters from Extracellular Measurement: Two Dimensional Study , 2006, Annals of Biomedical Engineering.

[7]  Robert A. Peura,et al.  Effects of sample geometry and electrode configuration on measured electrical resistivity of skeletal muscle , 2000, IEEE Transactions on Biomedical Engineering.

[8]  L. Clerc Directional differences of impulse spread in trabecular muscle from mammalian heart. , 1976, The Journal of physiology.

[9]  R. Sadleir,et al.  Modeling Skull Electrical Properties , 2007, Annals of Biomedical Engineering.

[10]  Elizabeth Berry,et al.  Materials for phantoms for terahertz pulsed imaging. , 2004, Physics in medicine and biology.

[11]  A. Dale,et al.  Conductivity tensor mapping of the human brain using diffusion tensor MRI , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[12]  S. Y. Lee,et al.  Electrical conductivity estimation from diffusion tensor and T 2 : a silk yarn phantom study , 2005 .

[13]  S. Sato,et al.  Dipole localization in patients with epilepsy using the realistically shaped head model. , 1997, Electroencephalography and clinical neurophysiology.

[14]  R J Sadleir,et al.  Imaging and quantification of anomaly volume using an eight-electrode ‘hemiarray’ EIT reconstruction method , 2008, Physiological measurement.

[15]  Richard M. Leahy,et al.  Electromagnetic brain mapping , 2001, IEEE Signal Process. Mag..

[16]  E. Achten,et al.  Simulation and experimental verification of the diffusion in an anisotropic fiber phantom. , 2008, Journal of magnetic resonance.

[17]  B G Steinbach,et al.  Use of a modified polysaccharide gel in developing a realistic breast phantom for MRI. , 1996, Magnetic resonance imaging.

[18]  Osamu Abe,et al.  Flexible ex vivo phantoms for validation of diffusion tensor tractography on a clinical scanner , 2006, Radiation Medicine.

[19]  Ohin Kwon,et al.  Image reconstruction of anisotropic conductivity tensor distribution in MREIT: computer simulation study. , 2004, Physics in medicine and biology.

[20]  D. Lehmann,et al.  Functional imaging with low-resolution brain electromagnetic tomography (LORETA): a review. , 2002, Methods and findings in experimental and clinical pharmacology.

[21]  Simon K. Warfield,et al.  EEG source analysis of epileptiform activity using a 1 mm anisotropic hexahedra finite element head model , 2009, NeuroImage.

[22]  P J Basser,et al.  Detection of microscopic anisotropy in gray matter and in a novel tissue phantom using double Pulsed Gradient Spin Echo MR. , 2007, Journal of magnetic resonance.

[23]  B Murat Eyüboğlu,et al.  Anisotropic conductivity imaging with MREIT using equipotential projection algorithm. , 2007, Physics in medicine and biology.

[24]  Xavier Tricoche,et al.  Influence of tissue conductivity anisotropy on EEG/MEG field and return current computation in a realistic head model: A simulation and visualization study using high-resolution finite element modeling , 2006, NeuroImage.