Parallel mri with bo distortion correction and multi-echo dixon water-fat separation using regularised sense reconstruction
US-2016124064-A1 · May 5, 2016 · US
US9575153B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9575153-B2 |
| Application number | US-201113990050-A |
| Country | US |
| Kind code | B2 |
| Filing date | Nov 24, 2011 |
| Priority date | Dec 2, 2010 |
| Publication date | Feb 21, 2017 |
| Grant date | Feb 21, 2017 |
A practical reading order for non-experts. Skip the full description unless you need deep technical detail.
What the patent document calls the invention.
A short plain-language summary of the technical disclosure.
Who owns or filed the patent and who is credited as inventor.
Filing, priority, publication, and grant dates set the timeline.
The legal scope of protection — read this for what is actually claimed.
Technology tags used to group this patent with similar filings.
Prior art links and similar publications in this corpus.
Official abstract text for this publication.
At least a portion of a body ( 10 ) of a patient positioned in an examination volume of a MR device ( 1 ). A portion of the body ( 10 ) is subject to a calibration sequence including RF pulses and switched magnetic field gradients controlled in such a manner that a calibration signal data set is acquired by a multi-point Dixon technique at a first image resolution. Calibration parameters are derived from the calibration signal data set. The MR device ( 1 ) is controlled according to the derived calibration parameters. The portion of the body ( 10 ) is subject to an imaging sequence including RF pulses and switched magnetic field gradients controlled in such a manner that a diagnostic signal data set is acquired at a second image resolution which is higher than the first image resolution. A diagnostic MR image is reconstructed from the diagnostic signal data set.
Opening claim text (preview).
The invention claimed is: 1. A method of magnetic resonance (MR) imaging of at least a portion of a body of a patient positioned in an examination volume of a MR device the method comprising: with a controller, controlling currents in RF coils and magnetic field gradient coils of the MR device in order to implement a multi-point Dixon imaging technique that generates first MR image data at a first image resolution; with one or more computer processors: reconstructing the first MR image data in order to generate a B0 field map, a water image, and a fat image at the first resolution, segmenting the water and fat images in order to identify a water region and a fat region, determining a B 0 homogeneity in the identified water region and a B 0 homogeneity in the identified fat region, determining shim settings utilized by shim coils of the MR device where the determined shim settings achieve at least one of: maximizing B 0 homogeneity in the identified water region, maximizing B 0 in the identified fat region, and improving B 0 homogeneity in both the identified water region and the identified fat region; with the controller, implementing a diagnostic MR imaging sequence including: controlling currents in the shim coils according to the determined shim settings, and controlling currents in the RF coils and the magnetic field gradient coils in order to generate diagnostic MR image data at a second image resolution which is higher than the first image resolution; and with the one or more computer processors, reconstructing the generated diagnostic MR image data into a diagnostic MR image with the second image resolution. 2. The magnetic resonance imaging method of claim 1 , wherein the diagnostic MR imaging sequence is a parallel MR imaging sequence producing MR image data that are received in parallel via a plurality of RF coils in an array of RF coils of the MR device, and wherein the RF coils of the array RF coils have different spatial sensitivity profiles. 3. The magnetic resonance imaging method of claim 2 , further including: with the one or more processors, determining the spatial sensitivity profiles of the RF coils in the array of RF coils from the first MR image data and reconstructing the diagnostic MR image using the determined spatial sensitivity profiles of the array RF coils. 4. The magnetic resonance imaging method of claim 1 , comprising with one or more computer processors performing at least one of: scan planning based on at least one of the water and fat images, patient anatomy identification planning based on at least one of the water and fat images, automated patient repositioning based on at least one of the reconstructed water and fat images, and fitting of a body model to at least one of the reconstructed water and fat images. 5. The magnetic resonance imaging method of claim 1 , further comprising with the one or more computer processors: analyzing at least one of the water and fat images in order to derive patient positioning information; determining a positioning of the patient in the examination volume based on the derived patient positioning information; and driving the magnetic resonance imaging device in order to move the patient into a desired position in the examination volume when the determined positioning of the patient is different from the desired position. 6. The magnetic resonance imaging method of claim 1 , wherein the determined shim settings utilized by the shimming coils are determined by optimizing a cost function depending on B0 homogeneity deviation occurring within the identified water region and the identified fat region, wherein the act of optimizing the cost function comprises: suppressing the identified fat region by minimizing a number of voxels in the fat region having a frequency offset larger than 160 Hz; and adjusting the determined shim settings until a number of pixels of the identified water region, that occur outside of a frequency offset interval of ±120 Hz is minimized. 7. A magnetic resonance (MR) device comprising: at least one main magnet coil configured to generate a uniform, steady magnetic field B0 within an examination volume; a plurality of gradient coils configured to generate switched magnetic field gradients in different spatial directions within the examination volume; at least one body RF coil configured to functionally perform at least one of: generating RF pulses within the examination volume and receiving MR signals from a body of a patient positioned in the examination volume; shim coils configured to shim the uniform, steady magnetic field B 0 ; a controller configured to control the gradient coils and the at least one body RF coil in order to implement a multi-point Dixon imaging technique that generates calibration data at a first image resolution; one or more computer processors configured to: reconstruct the generated calibration data in order to reconstruct a B0 field map, a water image, and a fat image at the first resolution, segment the reconstructed water and fat images in order to identify a water region and a fat region, determine a B 0 homogeneity in the identified water region and in the identified fat region, determine shim settings utilized by shim coils of the MR device where the determined shim settings achieve at least one of: maximizing B 0 homogeneity in the identified water region, maximizing B 0 in identified the fat region, and improving B 0 homogeneity in both the identified water region and the identified fat region; wherein the controller is further configured in order to implement a diagnostic MR imaging scan including: controlling currents in the shim coils according to the determined shim settings and controlling currents in the RF coils and the gradient magnetic field coils in order to generate diagnostic MR image data at a second resolution which is higher than the first resolution; and wherein the one or more computer processors are further configured to: reconstruct the diagnostic MR image data into a diagnostic MR image with the second resolution. 8. The magnetic resonance imaging method of claim 1 , wherein the diagnostic MR imaging scan sequence is a parallel imaging sequence and the at least one RF coil includes an array of RF coils, the array of RF coils being configured to receive the diagnostic MR image data in parallel, the RF coils in the array RF coils having different spatial sensitivity profiles, wherein the one or more computer processors are further configured to derive the spatial sensitivity profiles of the RF coils in the array RF coils as calibration parameters from the first MR image data, and to reconstruct the diagnostic MR image from a combination of the generated diagnostic MR image data and the spatial sensitivity profiles of the array RF coils. 9. The MR apparatus of claim 7 , wherein the one or more computer processors are further configured to determine an MR frequency from the generated calibration data that is utilized in implementing the diagnostic MR imaging scan. 10. A non-transitory computer readable medium embodying computer instructions which, when executed by a processor, configure the processor to perform on a magnetic resonance imaging device the magnetic resonance imaging method of: controlling currents in RF coils and magnetic field gradient coils of the MR device in order to implement a multi-point Dixon imaging technique that generates first MR image data at a first image resolution; reconstructing the first MR image data in order to reconstruct a B 0 field map, a water image, and a fat image at the first resolution, segmenting the water and fat images in order to identify a water region
Calibration of signal excitation or detection systems, e.g. for optimal RF excitation power or frequency (G01R33/246 takes precedence) · CPC title
Control of the operation of the MR system, e.g. setting of acquisition parameters prior to or during MR data acquisition, dynamic shimming, use of one or more scout images for scan plane prescription (G01R33/546 takes precedence) · CPC title
using correction coil assemblies, e.g. active shimming · CPC title
due to chemical shift effects · CPC title
Resolving the MR signals of different chemical species, e.g. water-fat imaging · CPC title
Related publications grouped by family.
Answers are generated from the same data shown on this page.