Systems, methods, and devices having databases for electronic spectrum management
US-2017290075-A1 · Oct 5, 2017 · US
US10132852B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10132852-B2 |
| Application number | US-201414585813-A |
| Country | US |
| Kind code | B2 |
| Filing date | Dec 30, 2014 |
| Priority date | Dec 30, 2014 |
| Publication date | Nov 20, 2018 |
| Grant date | Nov 20, 2018 |
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An apparatus that includes a power amplifier; a load that is operatively connected to be electrically driven from the power amplifier; and an impedance monitor that is configured to in real-time identify a favorable segment within an output waveform of the power amplifier, model the baseline power spectral density of a load driven by the power amplifier during the identified segment of the output waveform, sample an empirical power spectral density of the load during the identified segment of the output waveform, and indicate a load fault in the event that the empirical power spectral density deviates from the baseline power spectral density beyond at least one pre-determined error criteria.
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What is claimed is: 1. A method for monitoring the load impedance of a gradient coil in a magnetic resonance imaging (MRI) system in order to detect a fault in the gradient coil, the method comprising: modeling gradient coil current of the gradient coil during operation of a pulse generator module for gradient waveform production; sampling in real-time an empirical gradient coil current during the gradient waveform production; deriving an empirical power spectral density for the sampled empirical gradient coil current; deriving a model power spectral density for the modeled gradient coil current that corresponds to the sampled empirical gradient coil current; cross correlating the model power spectral density with the empirical power spectral density; and indicating a fault in the gradient coil, in the event that the model power spectral density deviates from the empirical power spectral density beyond at least one pre-determined error criteria. 2. The method of claim 1 , wherein the modeling and sampling are limited to a favorable segment within an output waveform of a gradient coil amplifier connected with the sampled gradient coil. 3. The method of claim 2 , wherein the favorable segment comprises less than one half wavelength duration of non-zero amplitude. 4. The method of claim 2 , wherein the favorable segment is of low-frequency spectral content and non-zero amplitude. 5. The method of claim 2 , wherein the error criteria includes a relative amplitude of the deviation between the expected and empirical power spectral densities within a bandwidth of interest. 6. The method of claim 2 , wherein the error criteria includes a value of a power integral of the deviation between the expected and empirical power spectral densities. 7. The method of claim 2 , wherein the error criteria includes a frequency shift between a peak of the baseline power spectral density and a peak of the empirical power spectral density. 8. The method of claim 2 , wherein the method is accomplished in real-time. 9. An apparatus comprising: a power amplifier for a gradient coil of a magnetic resonance imaging (MRI) system; a gradient coil load that is operatively connected to be electrically driven from the power amplifier; and an impedance monitor that is configured in real-time to monitor the impedance of the gradient coil load; wherein the impedance monitor is configured to: model gradient coil current of the gradient coil during operation of a pulse generator module for gradient waveform production; sample in real-time an empirical gradient coil current during the gradient waveform production; derive an empirical power spectral density for the sampled empirical gradient coil current; derive a model power spectral density for the modeled gradient coil current that corresponds to the sampled empirical gradient coil current; cross correlating the model power spectral density with the empirical power spectral density; and indicate a fault in the gradient coil, in the event that the model power spectral density deviates from the empirical power spectral density beyond at least one pre-determined error criteria. 10. The apparatus of claim 9 , wherein the power amplifier is a gradient coil amplifier, the load is a gradient coil, and the real-time modeling is of gradient coil current. 11. The apparatus of claim 10 , wherein the modeling and sampling are limited to a favorable segment within an output waveform of the gradient coil amplifier. 12. The apparatus of claim 10 , wherein the favorable segment is of low-frequency spectral content and non-zero amplitude. 13. The apparatus of claim 9 , wherein the error criteria includes a relative amplitude of the deviation between the expected and empirical power spectral densities within a bandwidth of interest. 14. The apparatus of claim 9 , wherein the error criteria includes a value of a power integral of the deviation between the expected and empirical power spectral densities. 15. The apparatus of claim 9 , wherein the error criteria includes a frequency shift between a peak of the baseline power spectral density and a peak of the empirical power spectral density.
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