DocumentCode
126786
Title
Impedance MRI and MR neuroimaging
Author
Sekino, Masaki ; Someya, Takao ; Ohsaki, Hiroyuki ; Ueno, Satoshi
Author_Institution
Dept. of Electr. Eng. & Inf. Syst., Univ. of Tokyo, Tokyo, Japan
fYear
2014
fDate
16-23 Aug. 2014
Firstpage
1
Lastpage
4
Abstract
Mapping of electromagnetic fields and electric properties of the brain is helpful in understanding the fundamentals of brain function. This paper introduces recent progress in magnetic resonance imaging (MRI) techniques to obtain the electric properties of the biological tissues and weak magnetic fields arising from neuronal electrical activities. There are two approaches for impedance MRI: Application of external electric currents to the sample and observation of the resulting changes in images provide a straightforward way to estimate the electric properties of the sample. Inferring the tissue conductivity from the water diffusion coefficient provides a less invasive method to estimate the tissue conductivity. Considering that MRI is inherently sensitive to magnetic fields generated in the samples, detection of magnetic fields arising from neuronal electrical activities using MRI is an attractive approach for dramatically improving the temporal resolution of functional MRI. Evaluating the sensitivity of MRI to weak magnetic fields is crucial in realizing this detection. Some papers report that the neuronal magnetic fields are detectable using MRI.
Keywords
biodiffusion; bioelectric potentials; biological tissues; biomedical MRI; brain; electrical conductivity; neurophysiology; MRI neuroimaging; MRI sensitivity; biological tissues; brain function; electric properties; electromagnetic field mapping; external electric currents; functional MRI; impedance MRI; magnetic field detection; magnetic resonance imaging; neuronal electrical activities; neuronal magnetic fields; temporal resolution; tissue conductivity; water diffusion coefficient; weak magnetic fields; Conductivity; Impedance; Magnetic fields; Magnetic resonance imaging; Radio frequency; Sensitivity; Signal to noise ratio;
fLanguage
English
Publisher
ieee
Conference_Titel
General Assembly and Scientific Symposium (URSI GASS), 2014 XXXIth URSI
Conference_Location
Beijing
Type
conf
DOI
10.1109/URSIGASS.2014.6930114
Filename
6930114
Link To Document