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