MRI gradient waveform design using convex optimization
First Claim
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1. A method of magnetic gradient waveform design for rapid magnetic resonance imaging using constrained optimization comprising the steps of:
- a) selecting a number N of discrete-time waveforms with a sampling period, τ
, and time T=Nτ
, b) expressing constraints as equations, c) identifying if a solution exists for T, and if not, increasing T until a solution exists, d) decreasing T to find a shortest solution, and e) solving the equations to identify the solution.
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Abstract
A time-optimal MRI gradient design method utilizes constrained optimization to design minimum-time gradient waveforms that satisfy gradient amplitude and slew-rate limitations. Constraints are expressed as linear equations which are solved using linear programming, L1-norm formulation, or second-order cone programming (SOCP).
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27 Claims
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1. A method of magnetic gradient waveform design for rapid magnetic resonance imaging using constrained optimization comprising the steps of:
-
a) selecting a number N of discrete-time waveforms with a sampling period, τ
, and time T=Nτ
,b) expressing constraints as equations, c) identifying if a solution exists for T, and if not, increasing T until a solution exists, d) decreasing T to find a shortest solution, and e) solving the equations to identify the solution. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27)
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