Magnetic resonance spectroscopy with automatic phase and B0 correction using interleaved water reference scan
US-9470770-B2 · Oct 18, 2016 · US
US9797968B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9797968-B2 |
| Application number | US-201415321818-A |
| Country | US |
| Kind code | B2 |
| Filing date | Sep 15, 2014 |
| Priority date | Sep 15, 2014 |
| Publication date | Oct 24, 2017 |
| Grant date | Oct 24, 2017 |
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A method of data acquisition at a magnetic resonance imaging (MRI) system is provided. The system receives at least a portion of raw data for an image, and detects anomalies in the portion of raw data received. When anomalies are detected, the system can correct those anomalies dynamically, without waiting for a new scan to be ordered. The system can attempt to scan the offending portion of the raw data, either upon detection of the anomaly or at some point during the scan. The system can also correct anomalies using digital correction methods based on expected values. The anomalies can be detected based on variations from thresholds, masks and expected values all of which can be obtained using one of the ongoing scan, previously performed scans and apriori information relating to the type of scan being performed.
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We claim: 1. A method of acquiring an image at a magnetic resonance imaging (MRI) system comprising: receiving an analog signal based on a pulse sequence and a first gain; digitizing, by a single analog to digital converter (ADC), the analog signal into a digitized signal; detecting a potential quantization error in the digitized signal based on a boundary; when the detecting is affirmative: receiving a replacement analog signal based on the pulse sequence, at least one portion of the replacement analog signal being based on an adjusted variable gain, the adjusted gain being a factor of the first gain; digitizing, by the ADC, the replacement analog signal into a replacement digitized signal; and adjusting at least one portion of the replacement digitized signal corresponding to the at least one portion of the replacement analog signal, based on a reversal of the factor. 2. The method of claim 1 wherein the reversal of the factor includes dividing, by the factor, values of the replacement digitized signal corresponding to the at least one portion of the replacement analog signal. 3. The method of claim 1 wherein the factor is based on an operational amplitude range of the ADC. 4. The method of claim 1 wherein the at least one portion of the replacement analog signal includes two portions, each portion being based on a different adjusted gain, each different adjusted gain being a different factor of the first gain. 5. The method of claim 1 wherein the boundary includes upper boundary values and the detection is based on whether one or more values of the digitized signal received exceed corresponding ones of the upper boundary values. 6. The method of claim 1 wherein the boundary includes lower boundary values and the detection is based on whether one or more values of the digitized signal received are below corresponding ones of the lower boundary values. 7. The method of claim 5 wherein the upper boundary is based on an upper boundary of the operational amplitude range of the ADC. 8. The method of claim 6 wherein the lower boundary is based on an upper boundary of the operational amplitude range of the ADC. 9. The method of claim 1 wherein adjusting further comprises: adjusting a phase of the replacement digitized signal based on the adjusted gain. 10. The method of any claim 1 wherein the digitized signal and the replacement digitized signal correspond to a portion of a k-space for the image. 11. The method of claim 1 wherein the digitized signal and the replacement digitized signal are at least one line of data along the frequency axis of the k-space. 12. The method of claim 1 wherein the receiving a replacement analog signal is performed at one of: prior to receiving any additional analog signal, and after all of the analog signal for the image is received.
Processing of acquired signals, e.g. elimination of phase errors, baseline fitting, chemometric analysis · CPC title
involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging · CPC title
RF excitation sequences for enhanced detection, e.g. NOE, polarisation transfer, selection of a coherence transfer pathway · CPC title
using specific RF pulses or specific modulation schemes, e.g. stochastic excitation, adiabatic RF pulses, composite pulses, binomial pulses, Shinnar-le-Roux pulses, spectrally selective pulses not being used for spatial selection · CPC title
Signal processing systems, e.g. using pulse sequences {; Generation or control of pulse sequences; Operator console} · CPC title
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