Title
Design Of A Low Cross-Talk Micro-Coil Array For Micro-Scale Mri
Abstract
Design of magnetic resonance micro-coil arrays with low cross-talk among the coils can be the main challenge to improve the effectiveness of magnetic resonance micro-imaging because the electrical cross-talk which is mainly due to the inductive coupling perturbs the sensitivity profile of the array and causes image artifacts. In this work, a capacitive decoupling network with N(M-1)+(N-1)(M-2) capacitors is proposed to reduce the inductive coupling in an N x M array. A 3 x 3 array of optimized micro-coils is designed using the finite element simulations and all the needed elements for the array equivalent circuit are extracted in order to evaluate the effectiveness of the proposed decoupling method by assessing the reduction of the coupled signals after employing the capacitive network on the circuit. The achieved results for the designed array show that the high cross-talk level is reduced by the factor of 2.2-3.4 after employing the capacitive network. By employing this method of decoupling, the adjacent coils in each row and inner columns can be decoupled properly while the minimum decoupling belongs to the outer columns because of the lack of all necessary decoupling capacitances for these columns. The main advantages of the proposed decoupling method are its efficiency and design easiness which facilitates the design of dense arrays with the properly decoupled coils, especially the inner coils which are more coupled due to their neighbors. (c) 2013 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 23, 353-359, 2013
Year
DOI
Venue
2013
10.1002/ima.22071
INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY
Keywords
Field
DocType
micro-coil array, micro-MRI, SNR, capacitive decoupling
Computer science,Artificial intelligence,Equivalent circuit,Topology,Computer vision,Capacitor,Inductive coupling,Crosstalk,Decoupling (cosmology),Capacitive sensing,Finite element method,Electromagnetic coil,Nuclear magnetic resonance
Journal
Volume
Issue
ISSN
23
4
0899-9457
Citations 
PageRank 
References 
0
0.34
1
Authors
3
Name
Order
Citations
PageRank
Fahimeh Dehkhoda163.30
Mohammad Mohammadzadeh200.34
Javad Frounchi3244.78