Design of MRI gradient coil


Ontology type: sgo:Patent     


Patent Info

DATE

2010-10-27T00:00

AUTHORS

LIU, ZHENYU , JIA, Feng , KORVINK, JAN GERRIT

ABSTRACT

A method for designing an electromagnetic gradient coil for magnetic resonance imaging systems comprising: a. Choosing a set of objectives Li, whereby the objectives Li are combined to one weighted-sum objective function, b. Choosing a design variable Ψ for modifying the value of the objectives L; c. Making an initial guess of the value of the design variable Ψ; d. Simulating the magnetic field in a computational domain with respect to the distribution of the surface current density; e. Carrying out a sensitivity analysis by calculating a sensitivity vector G=∂L/∂Ψ; f. Updating the design variable Ψ, whereby the value of the design variable Ψ is changed in order to decrease the value of the objective L; g. Determining whether convergency is achieved by either determining whether the value of the objective function does not decrease or the whether the Euclidian norm of the sensitivity vector G approximate to zero; h. Reconstruction of a discretized coil; characterized in that in step (d) least square finite element analysis is used, and that steps a) - g) are repeated until convergency is achieved. The method allows an effective and improved design for irregular surfaces. More... »

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A method for designing an electromagnetic gradient coil for magnetic resonance imaging systems comprising:
\na. Choosing a set of objectives Li, whereby the objectives Li are combined to one weighted-sum objective function,
\nb. Choosing a design variable Ψ for modifying the value of the objectives L;
\nc. Making an initial guess of the value of the design variable Ψ;
\nd. Simulating the magnetic field in a computational domain with respect to the distribution of the surface current density;
\ne. Carrying out a sensitivity analysis by calculating a sensitivity vector G=∂L/∂Ψ;
\nf. Updating the design variable Ψ, whereby the value of the design variable Ψ is changed in order to decrease the value of the objective L;
\ng. Determining whether convergency is achieved by either determining whether the value of the objective function does not decrease or the whether the Euclidian norm of the sensitivity vector G approximate to zero;
\nh. Reconstruction of a discretized coil;
\ncharacterized in that in step (d) least square finite element analysis is used, and that steps a) - g) are repeated until convergency is achieved. The method allows an effective and improved design for irregular surfaces.\n

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