System and method for parallel magnetic resonance image reconstruction using digital beamforming

Patent metadata

Field	Value
Publication number	US-9360543-B2
Application number	US-201313866735-A
Country	US
Kind code	B2
Filing date	Apr 19, 2013
Priority date	Apr 19, 2012
Publication date	Jun 7, 2016
Grant date	Jun 7, 2016

Abstract

Systems and methods for beamforming algorithms for transmit-receive parallel magnetic resonance imaging (“pMRI”) applications are described. For any transmit configuration (e.g., using a single or multiple transmit elements) a weighted sum of the complex image data from each receiver is formed with a spatially-varying weighting. The weighting factor is obtained by solving an optimal refocusing problem at a set of points in the image space, which can include all the pixels in the image. The optimal refocusing of the transmit-receive configuration accounts for the spatially-varying SNR in deriving the coefficients of the weighted sum at every image pixel.

First claim

The invention claimed is:

1. A method for producing an image of a subject with a magnetic resonance imaging (MRI) system, the steps of the method comprising:
a) acquiring data from the subject using an MRI system by generating radio frequency (RF) energy with at least one transmit RF element and measuring magnetic resonance signals formed in response thereto with at least two receive RF elements;
b) determining a directivity for each of the at least two receive RF elements;
c) reconstructing an image corresponding to each of the at least two receive RF elements by reconstructing data acquired in step a) by the respective receive RF element; and
e) producing an image of the subject by combining the images reconstructed in step c) using the directivities for the at least two receive RF elements.

2. The method as recited in claim 1 in which step e) includes estimating a local signal-to-noise ratio (SNR) and using the local SNR when combining the images reconstructed in step c).

3. The method as recited in claim 2 in which step e) includes computing an inverse spatial filter using the directivities and the local SNR, and applying the inverse spatial filter to the images reconstructed in step c).

4. The method as recited in claim 1 in which step e) includes weighting the images reconstructed in step c) using the directivities determined in step b).

5. The method as recited in claim 1 in which step b) further includes determining a directivity for each of the at least one transmit RF elements.

6. The method as recited in claim 5 in which step e) includes weighting the images reconstructed in step c) using the directivities determined in step b).

7. The method as recited in claim 6 in which step e) includes calculating a weighted sum that includes weighting each image reconstructed in step c) with the directivity for the transmit RF element and the directivity for the receive RF element used to acquire the data in step a) associated with the given image.

8. The method as recited in claim 7 in which the weighted sum calculated in step e) further includes applying a spatial compounding function to each image reconstructed in step c), the spatial compounding function being designed to at least one of compensate for focusing gain of the at least two receive RF elements and equalize focusing gain in a specified region-of-interest.

9. The method as recited in claim 1 in which step b) includes at least one of computing the directivities using a model; measuring the directivities; and estimating the directivities.

10. The method as recited in claim 1 in which the at least one transmit RF element includes at least one of an RF coil and an RF antenna, and in which the at least two receive RF elements include at least one of RF coils and RF antennas.

11. A method for producing an image of a subject with a magnetic resonance imaging (MRI) system that includes an array of radio frequency (RF) elements, the steps of the method comprising:
a) transmitting RF energy to the subject using the array of RF elements;
b) acquiring data with the array of RF elements by measuring magnetic resonance signals formed in response to the RF energy transmitted in step a);
c) providing a transmit directivity and a receive directivity for each RF element in the array of RF elements;
d) reconstructing an image for each coil in the array of RF elements by reconstructing data acquired in step a) associated with magnetic resonance signals detected by the respective RF element; and
e) producing an image of the subject by combining the images reconstructed in step d) using the directivities provided in step c).

12. The method as recited in claim 11 in which steps a) and b) are repeated to acquire multiple sets of data, and each performance of step a) includes transmitting RF energy with at least one of the RF elements in the array of RF elements.

13. The method as recited in claim 12 in which step e) includes weighting the images reconstructed in step d) using the directivities provided in step c).

14. The method as recited in claim 12 in which step e) includes providing a directivity of the array of RF elements based on the directivities provided in step c), and further includes weighting the images reconstructed in step d) using the directivity of the array of RF elements.

15. The method as recited in claim 12 in which step e) includes calculating a weighted sum that includes weighting each image reconstructed in step d) with the directivity for the RF element used to transmit RF energy in step a) and the directivity for the RF element used to acquire the data in step b) associated with the given image.

16. The method as recited in claim 13 in which the weighted sum calculated in step e) further includes applying a spatial compounding function to each image reconstructed in step d), the spatial compounding function being designed to compensate for focusing gain of the array of RF elements.

17. The method as recited in claim 13 in which the weighted sum calculated in step e) further includes applying a spatial compounding function to each image reconstructed in step d), the spatial compounding function being designed to compensate for B 1 field heterogeneity.

18. The method as recited in claim 11 in which step a) includes transmitting RF energy using each RF elements in the array of RF elements.

19. The method as recited in claim 11 in which step c) includes at least one of computing the directivities using a model; measuring the directivities; and estimating the directivities.

20. The method as recited in claim 11 in which the array of RF elements is at least one of an array of RF coils and an array of RF antennas.

Assignees

• Gopinath Anand
• Ebbini Emad S
• Vaughan John Thomas
• Delabarre Lance
• Univ Minnesota

Inventors

• Gopinath Anand
• Ebbini Emad S
• Vaughan John Thomas
• Delabarre Lance

Classifications

• G01R33/3415 Primary

  comprising arrays of sub-coils {, i.e. phased-array coils with flexible receiver channels} · CPC title

• G01R33/56 Primary

  Image enhancement or correction, e.g. subtraction or averaging techniques {, e.g. improvement of signal-to-noise ratio and resolution} · CPC title

• G01R33/5608

  Data processing and visualization specially adapted for MR, e.g. for feature analysis and pattern recognition on the basis of measured MR data, segmentation of measured MR data, edge contour detection on the basis of measured MR data, for enhancing measured MR data in terms of signal-to-noise ratio by means of noise filtering or apodization, for enhancing measured MR data in terms of resolution by means for deblurring, windowing, zero filling, or generation of gray-scaled images, colour-coded images or images displaying vectors instead of pixels (image data processing or generation, in general G06T) · CPC title