Low acoustic noise magnetic resonance image acquisition

1. A method for performing a magnetic resonance (MR) image acquisition, comprising the steps of:

for an acoustically dominant gradient axis of the MR image acquisition:

calculating a sound-pressure-level spectrum (SPLS) by weighting a gradient waveform amplitude spectrum with an acoustic response function (ARF) of an MR imaging system;

selecting one or more frequencies within a frequency range on the ARF, wherein the one or more frequencies are selected to reduce acoustic noise;

computing a modified gradient waveform using the one or more frequencies;

synchronizing gradient waveforms on one or more other axes with the modified gradient waveform; and

using the modified gradient waveform in the MR image acquisition to acquire MR image data;

wherein the SPLS is calculated by multiplying the acoustic response function (ARF) of the MR imaging system with the gradient waveform amplitude spectrum.

2. The method of claim 1 , wherein the MR image acquisition will be performed using the MR imaging system and the acoustic response is specific to the MR imaging system such that the SPLS is also specific to the MR imaging system.

3. The method of claim 1 , wherein selecting the one or more frequencies comprises identifying one or more local lows or minima within the ARF and selecting the one or more frequencies associated with the local lows or minima.

4. The method of claim 1 , wherein selecting the one or more frequencies comprises selecting one or more frequencies that are equal to or higher than a minimum frequency of the frequency range that minimize the acoustic noise.

5. The method of claim 1 , wherein the modified gradient waveform, when performed by the MR imaging system, produces less acoustic noise than the respective gradient waveform.

6. The method of claim 1 , wherein computing the modified gradient waveform comprises modifying frequencies and amplitudes of the respective gradient waveform based on the one or more frequencies.

7. The method of claim 1 wherein the magnetic resonance (MR) image acquisition comprises one of a functional MR image (fMRI) acquisition or a diffusion or flow MR image acquisition.

8. The method of claim 1 , wherein the steps of calculating, selecting, computing, synchronizing, and using are separately performed, for respective acoustically dominant gradient axes, on different time-based segments of a pulse sequence associated with the MR image acquisition.

9. A magnetic resonance (MR) imaging system, comprising:

an MR scanner comprising primary magnet coils, gradient coils, and an RF coil; and

control and analysis circuitry in communication with the MR scanner and configured to operate the primary magnet coils, gradient coils, and the RF coil, wherein the control and analysis circuitry is configured to execute one or more stored routines to cause acts to be performed comprising:

for an acoustically dominant gradient axis of the MR image acquisition:

calculating a sound-pressure-level spectrum (SPLS) by weighting a gradient waveform amplitude spectrum with an acoustic response function (ARF) of the MR imaging system;

selecting one or more frequencies within a frequency range on the ARF, wherein the one or more frequencies are selected to reduce acoustic noise;

computing a modified gradient waveform using the one or more frequencies;

synchronizing gradient waveforms on one or more other axes with the modified gradient waveform; and

executing a pulse sequence on the MR imaging system based on the modified gradient waveform to acquire MR image data;

wherein the SPLS is calculated by multiplying the acoustic response function (ARF) of the MR imaging system with the gradient waveform amplitude spectrum.

10. The MR imaging system of claim 9 , wherein the acoustic response function (ARF) is specific to the MR imaging system such that the SPLS is also specific to the MR imaging system.

11. The MR imaging system of claim 9 , wherein selecting the one or more frequencies comprises identifying one or more local lows or minima within the ARF and selecting the one or more frequencies associated with the local lows or minima.

12. The MR imaging system of claim 9 , wherein the modified gradient waveform, when performed by the MR imaging system, produces less acoustic noise than the respective gradient waveform.

13. The MR imaging system of claim 9 , wherein computing the modified gradient waveform comprises modifying frequencies and amplitudes of the respective gradient waveform based on the one or more frequencies.

14. The MR imaging system of claim 9 , wherein the control and analysis circuitry is configured to cause the respective acts of calculating, selecting, computing, synchronizing, and executing to be separately performed, for respective acoustically dominant gradient axes, on different time-based segments of a pulse sequence associated with the MR image acquisition.

15. A method for acquiring magnetic resonance (MR) images of a patient, comprising the steps of:

for one or more pulse sequences, calculating a sound-pressure-level spectrum (SPLS) based on an acoustic response function (ARF) of an MR imaging system and a gradient waveform amplitude spectrum of a respective gradient waveform from an acoustically dominant axis of each pulse sequence;

for each SPLS, selecting one or more frequencies by identifying one or more local lows or minima within the ARF and selecting the one or more frequencies associated with the local lows or minima;

computing, for each SPLS, a modified gradient waveform using the one or more frequencies;

synchronizing gradient waveforms on one or more other axes with the modified gradient waveform;

acquiring MR scan data of the patient using one or more pulse sequences based on the modified gradient waveforms;

reconstructing one or more images based on the MR scan data;

extracting one or more imaging biomarkers from the one or more images;

acquiring non-MR sensor data of a sleeping patient; and

synchronizing the one or more imaging biomarkers and the non-MR sensor data to generate one or more outputs.

16. The method of claim 15 , wherein the non-MR sensor data comprises one or more of an electroencephalogram (EEG), an electrocardiogram (ECG), or visual camera data.

17. The method of claim 15 , wherein the one or more images are functional MR images (fMRI) and the one or more outputs correspond to brain activation data.

18. The method of claim 17 , further comprising:

detecting one or more brain waves using the brain activation data; and

inferring a stage of sleep based on the one or more brain waves.

19. The method of claim 15 , wherein the one or more images are diffusion or flow MR images and the one or more imaging biomarkers correspond to diffusivity, velocity, or flow.

20. The method of claim 15 , further comprising performing an additional MR image acquisition based on parameters determined using the one or more outputs.