DocumentCode :
545996
Title :
Hybridized axonal field model for signal estimation in magnetic resonance imaging
Author :
Anwar, Syed Muhammad ; Cook, Greg ; Paley, Martyn
Author_Institution :
Commun. Res. Group, Univ. of Sheffield, Sheffield, UK
fYear :
2011
fDate :
11-15 April 2011
Firstpage :
1300
Lastpage :
1303
Abstract :
The aim of this study is to computationally estimate local magnetic fields from evoked axons to support previously reported experimental evidence of direct neuronal detection (DND) of axonal firing using magnetic resonance imaging (MRI). The hypothesis tested is that the fields resulting from the electrical activity of axons can perturb the main field of the scanner, thereby producing visible image artefacts so that direct imaging of brain functioning may be possible. In this work magnetic fields are calculated for multiple axons using a hybrid model of the electro-physiological parameters of the human optic nerve and a complete 3 dimensional solution of the differential form of Poisson´s equation.
Keywords :
Poisson equation; biomedical MRI; magnetic fields; medical image processing; DND; MRI; Poisson equation; axonal firing; brain functioning; direct neuronal detection; electro-physiological parameter; human optic nerve; hybridized axonal field model; local magnetic field estimation; magnetic resonance imaging; signal estimation; Brain modeling; Computational modeling; Equations; Magnetic resonance imaging; Mathematical model; Nerve fibers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Antennas and Propagation (EUCAP), Proceedings of the 5th European Conference on
Conference_Location :
Rome
Print_ISBN :
978-1-4577-0250-1
Type :
conf
Filename :
5781745
Link To Document :
بازگشت