Title :
Magnetic resonance electrical impedance tomography (MREIT): simulation study of J-substitution algorithm
Author :
Kwon, Ohin ; Woo, Eung Je ; Yoon, Jeong-Rock ; Seo, Jin Keun
Author_Institution :
Dept. of Math., Kon-Kuk Univ., Seoul, South Korea
Abstract :
We developed a new image reconstruction algorithm for magnetic resonance electrical impedance tomography (MREIT). MREIT is a new EIT imaging technique integrated into magnetic resonance imaging (MRI) system. Based on the assumption that internal current density distribution is obtained using magnetic resonance imaging (MRI) technique, the new image reconstruction algorithm called J-substitution algorithm produces cross-sectional static images of resistivity (or conductivity) distributions. Computer simulations show that the spatial resolution of resistivity image is comparable to that of MRI. MREIT provides accurate high-resolution cross-sectional resistivity images making resistivity values of various human tissues available for many biomedical applications.
Keywords :
biomedical MRI; current density; electric impedance imaging; image reconstruction; inverse problems; iterative methods; medical image processing; EIT imaging technique; J-substitution algorithm; MRI system integrated; Toy model; computer simulations; cross-sectional static images; high-resolution images; human tissues; image reconstruction algorithm; internal current density distribution; inverse problem; magnetic resonance electrical impedance tomography; resistivity distributions; Computer simulation; Conductivity; Current density; Humans; Image reconstruction; Impedance; Magnetic resonance; Magnetic resonance imaging; Spatial resolution; Tomography; Algorithms; Computer Simulation; Electric Impedance; Image Processing, Computer-Assisted; Magnetic Resonance Imaging; Models, Biological; Reproducibility of Results; Sensitivity and Specificity; Stochastic Processes; Tomography;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
