Method and apparatus for non-invasive assessment of ripple cancellation filter

US10247795B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10247795-B2
Application numberUS-201414585554-A
CountryUS
Kind codeB2
Filing dateDec 30, 2014
Priority dateDec 30, 2014
Publication dateApr 2, 2019
Grant dateApr 2, 2019

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Abstract

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A method that includes deriving a first power spectral density function of a signal input to a ripple cancellation filter; deriving a second power spectral density function of a signal concurrently output from the ripple cancellation filter; frequency shaping the first power spectral density according to a spectral rejection image of the ripple cancellation filter to obtain a test power spectral density; and indicating a degraded performance of the ripple cancellation filter in the event that the test and second power spectral density functions fail to match within pre-determined criteria.

First claim

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What is claimed is: 1. A method comprising: non-invasively sampling an input voltage to a ripple cancellation filter of a magnetic resonance imaging system via a filter assessment module of the magnetic resonance imaging system, the filter assessment module electrically connected to both an input and an output of the ripple cancellation filter; transforming, via the filter assessment module, the sampled input voltage into a first power spectral density; non-invasively sampling an output voltage of the ripple cancellation filter via the filter assessment module; transforming, via the filter assessment module, the sampled output voltage into a second power spectral density; frequency shaping, via the filter assessment module, the first power spectral density according to a spectral rejection image of the ripple cancellation filter to obtain a test power spectral density; and indicating, via the filter assessment module, a degraded performance of the ripple cancellation filter in the event that the test and second power spectral densities fail to match within pre-determined criteria. 2. The method of claim 1 wherein the pre-determined criteria include a difference of less than 5% between power integrals across a sample bandwidth surrounding a fundamental noise frequency. 3. The method of claim 2 wherein the sample bandwidth is not less than +/−1% of the fundamental noise frequency. 4. The method of claim 3 wherein the sample bandwidth is not more than +/−10% of the fundamental noise frequency. 5. The method of claim 2 wherein the fundamental noise frequency is established as a multiple of a pulse width modulator switching frequency. 6. The method of claim 2 wherein the fundamental noise frequency is established as a frequency corresponding to a maximum of the first power spectral density function. 7. A method comprising: non-invasively sampling, via a filter assessment module electrically connected to both an input and an output of a ripple cancellation filter of a magnetic resonance imaging system, a signal produced by operation of a pulse width modulator of the magnetic resonance imaging system; transforming, via the filter assessment module, the sampled signal into a first power spectral density; non-invasively sampling, via the filter assessment module, an output voltage of the ripple cancellation filter; transforming, via the filter assessment module, the sampled output voltage into a second power spectral density; frequency shaping, via the filter assessment module, the first power spectral density according to a design spectral rejection image of the ripple cancellation filter to obtain a test power spectral density; and indicating, via the filter assessment module, a degraded performance of the ripple cancellation filter in the event that the test and second power spectral densities fail to match within pre-determined criteria. 8. The method of claim 7 wherein the pre-determined criteria include a difference of less than 5% between power integrals across a sample bandwidth surrounding a fundamental noise frequency. 9. The method of claim 8 wherein the sample bandwidth is not less than +/−1% of the fundamental noise frequency. 10. The method of claim 9 wherein the sample bandwidth is not more than +/−10% of the fundamental noise frequency. 11. The method of claim 8 wherein the fundamental noise frequency is established as a multiple of a pulse width modulator switching frequency. 12. The method of claim 8 wherein the fundamental noise frequency is established as a frequency corresponding to a maximum of the first power spectral density function. 13. An apparatus comprising: a first sensor that non-invasively samples an input voltage to a ripple cancellation filter connected across output terminals of h-bridges of a gradient amplifier of a magnetic resonance imaging system; a second sensor that non-invasively samples an output voltage of the ripple cancellation filter; a filter assessment module that transforms the sampled input voltage into a first power spectral density, transforms the sampled output voltage into a second power spectral density, obtains a design spectral rejection image of the ripple cancellation filter based on a concurrent pulse width modulator output, multiplies the first power spectral density by the design spectral rejection image to obtain a test spectral power density, and indicates a degraded performance of the ripple cancellation filter in the event that the test and second power spectral densities fail to match within pre-determined criteria. 14. The apparatus of claim 13 wherein the pre-determined criteria include a difference of less than 5% between power integrals across a sample bandwidth surrounding a fundamental noise frequency. 15. The apparatus of claim 14 wherein the sample bandwidth is not less than +/−1% of the fundamental noise frequency. 16. The apparatus of claim 15 wherein the sample bandwidth is not more than +/−10% of the fundamental noise frequency. 17. The apparatus of claim 14 wherein the fundamental noise frequency is established as a multiple of a pulse width modulator switching frequency. 18. The apparatus of claim 14 wherein the fundamental noise frequency is established as a frequency corresponding to a maximum of the first power spectral density function. 19. An apparatus comprising: a pulse width modulator; an image processing module that receives an input signal including switching noise produced by the pulse width modulator; a ripple cancellation filter that samples the pulse width modulator output voltage to produce a rejection image for removing the switching noise from the input signal to the image processing module; and a filter assessment module, electrically connected to both an input and an output of the ripple cancellation filter, that transforms the pulse width modulator output voltage into a first power spectral density, transforms an output voltage non-invasively sampled from the ripple cancellation filter into a second power spectral, multiplies the first power spectral density by the rejection image to produce a test power spectral density, and indicates to the image processing module a degraded performance of the ripple cancellation filter in the event that the test and second power spectral densities fail to match within pre-determined criteria. 20. The apparatus of claim 19 wherein the pre-determined criteria include a difference of less than 5% between power integrals across a sample bandwidth surrounding a fundamental noise frequency.

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Classifications

  • Gradient amplifiers; means for controlling the application of a gradient magnetic field to the sample, e.g. a gradient signal synthesizer · CPC title

  • Systems for generation, homogenisation or stabilisation of the main or gradient magnetic field · CPC title

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What does patent US10247795B2 cover?
A method that includes deriving a first power spectral density function of a signal input to a ripple cancellation filter; deriving a second power spectral density function of a signal concurrently output from the ripple cancellation filter; frequency shaping the first power spectral density according to a spectral rejection image of the ripple cancellation filter to obtain a test power spectra…
Who is the assignee on this patent?
Gen Electric
What technology area does this patent fall under?
Primary CPC classification G01R33/3852. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Apr 02 2019 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 3 related publications on this page (citations in our corpus or others sharing the same primary CPC).