Optimization of a magnetic resonance sequence of a magnetic resonance apparatus
US-2015204959-A1 · Jul 23, 2015 · US
US9645216B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9645216-B2 |
| Application number | US-201313757446-A |
| Country | US |
| Kind code | B2 |
| Filing date | Feb 1, 2013 |
| Priority date | Feb 3, 2012 |
| Publication date | May 9, 2017 |
| Grant date | May 9, 2017 |
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A method and a measuring-sequence-determining device for determining a measuring sequence for a magnetic resonance system based on at least one intra-repetition-interval time parameter are provided. During the determination of the measuring sequence in a gradient-optimization method, gradient-pulse parameters of the measuring sequence are automatically optimized to reduce at least one gradient-pulse-parameter maximum value. As a boundary condition in the gradient-optimization method, the intra-repetition-interval time parameter is kept constant at least within a specified tolerance value.
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The invention claimed is: 1. A method for determining a measuring sequence for a magnetic resonance system based on at least one intra-repetition-interval time parameter, the method comprising: automatically optimizing, during the determination of the measuring sequence in a gradient-optimization method, gradient-pulse parameters of the measuring sequence in order to reduce at least one gradient-pulse-parameter maximum value, wherein, as a boundary condition in the gradient-optimization method, the intra-repetition-interval time parameter is kept constant at least within a specified tolerance value. 2. The method as claimed in claim 1 , wherein the gradient-pulse parameters comprise a slew rate, a gradient amplitude of a gradient pulse of the measuring sequence, or the slew rate and the gradient amplitude. 3. The method as claimed in claim 1 , wherein the measuring sequence comprises an echo sequence, and the intra-repetition-interval time parameter comprises an echo time. 4. The method as claimed in claim 1 , further comprising optimizing, in the gradient-optimization method, the at least one gradient-pulse-parameter maximum value. 5. The method as claimed in claim 4 , further comprising checking, in the gradient-optimization method, the at least one gradient-pulse-parameter maximum value in a sequence-determining process, to see whether, while observing the boundary condition of keeping the intra-repetition-interval time parameter constant within the specified tolerance value, the specified gradient-pulse-parameter maximum value is usable to determine the measuring sequence. 6. The method as claimed in claim 4 , wherein the gradient-optimization method comprises an iteration method, the iteration method comprising: initially specifying a gradient-pulse-parameter maximum value as a start value; reducing the gradient-pulse-parameter maximum value in a plurality of iteration steps with a defined increment; performing, in each iteration step of the plurality of iteration steps with the current gradient-pulse-parameter maximum value, a sequence-determining process for determining the measuring sequence while keeping the intra-repetition-interval time parameter constant within the specified tolerance value; and performing, on the successful determination of the measuring sequence, a new iteration step up to a specified abort criterion. 7. The method as claimed in claim 6 , further comprising aborting the iteration method when, in an iteration step with the current gradient-pulse-parameter maximum value, no successful determination of the measuring sequence is possible while keeping the intra-repetition-interval time parameter constant within the specified tolerance value. 8. The method as claimed in claim 7 , further comprising outputting, following the abortion of the iteration method, a gradient-pulse-parameter maximum value that is above the last current gradient-pulse-parameter maximum value as the at least one optimum gradient-pulse-parameter maximum value. 9. The method as claimed in claim 8 , wherein the last current gradient-pulse-parameter maximum value is a penultimate current gradient-pulse-parameter maximum value. 10. The method as claimed in claim 4 , further comprising specifying a global gradient-pulse-parameter maximum value as the start value. 11. The method as claimed in claim 1 , further comprising determining an individual gradient-pulse-parameter maximum value separately for an individual pulse segment of a gradient pulse. 12. The method as claimed in claim 1 , further comprising determining an individual gradient-pulse-parameter maximum value separately for an individual complete gradient pulse. 13. The method as claimed in claim 1 , further comprising determining an individual gradient-pulse-parameter maximum value separately for a functional group of gradient pulses. 14. A method for operating a magnetic resonance system, the method comprising: determining a measuring sequence for the magnetic resonance system based on at least one intra-repetition-interval time parameter, the determining comprising automatically optimizing, during the determination of the measuring sequence in a gradient-optimization method, gradient-pulse parameters of the measuring sequence in order to reduce at least one gradient-pulse-parameter maximum value, wherein, as a boundary condition in the gradient-optimization method, the intra-repetition-interval time parameter is kept constant at least within a specified tolerance value; and operating the magnetic resonance system using the determined measuring sequence. 15. A measuring-sequence-determining device for determining a measuring sequence for a magnetic resonance system, the measuring-sequence-determining device comprising: an input interface operable to acquire at least one intra-repetition-interval time parameter; and a measuring-sequence-calculating unit configured to determine the measuring sequence on the basis of control parameters, wherein the measuring-sequence-determining device is configured such that, during the determination of the measuring sequence in a gradient-optimization method, the measuring-sequence-determining device automatically optimizes gradient-pulse parameters of the measuring sequence to reduce at least one gradient-pulse-parameter maximum value, and wherein, as a boundary condition in the gradient-optimization method, the intra-repetition-interval time parameter is kept constant at least within a specified tolerance value. 16. A magnetic resonance system comprising: a high-frequency transmission system comprising: a gradient system; and a control device configured to control the high-frequency transmission system and the gradient system in order to carry out a desired measurement based on a specified measuring sequence; and a measuring-sequence-determining device for determining a measuring sequence for the magnetic resonance system, the measuring-sequence-determining device comprising: an input interface operable to acquire at least one intra-repetition-interval time parameter; and a measuring-sequence-calculating unit configured to determine the measuring sequence on the basis of control parameters, wherein the measuring-sequence-determining device is configured such that, during the determination of the measuring sequence in a gradient-optimization method, the measuring-sequence-determining device automatically optimizes gradient-pulse parameters of the measuring sequence to reduce at least one gradient-pulse-parameter maximum value, wherein, as a boundary condition in the gradient-optimization method, the intra-repetition-interval time parameter is kept constant at least within a specified tolerance value, and wherein the measuring-sequence-determining device is operable to forward the measuring sequence to the control device. 17. A computer program product loadable directly into a non-transitory computer-readable medium of a measuring-sequence-determining device, the computer program product including instructions executable by the measuring-sequence-determining device to determine a measuring sequence for a magnetic resonance system, the instructions comprising: automatically optimizing, during the determination of the measuring sequence in a gradient-optimization method, gradient-pulse parameters of the measuring sequence in order to reduce at least one gradient-pulse-parameter maximum value, wherein, as a boundary condition in the gradient-optimization method, an intra-repetition-interval time parameter is kept constant at least within a specified tolerance value.
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