Philip J Beatty

US Patent:

7439739, Oct 21, 2008

Filed:

Jul 11, 2006

Appl. No.:

11/456772

Inventors:

Philip J. Beatty - Menlo Park CA, US

Assignee:

The Board of Trustees of the Leland Stanford Junior University - Palo Alto CA

International Classification:

G01V 3/00

US Classification:

324309, 324307

Abstract:

Disclosed is a method of providing magnetic resonance image reconstruction from k-space data obtained from any trajectory of k-space using multiple receiver coils. An image is constructed for data from each coil, and then the multiple coil images are combined such as by using sum of squares of image data, for example.

US Patent:

7486075, Feb 3, 2009

Filed:

Oct 4, 2007

Appl. No.:

11/867186

Inventors:

Anja C. S. Brau - Menlo Park CA, US
Philip James Beatty - Menlo Park CA, US
Stefan Skare - Palo Alto CA, US
Roland Bammer - Palo Alto CA, US

Assignee:

General Electric Company - Schenectady NY
The Board of Trustees of the Leland Stanford, Jr. University - Stanford CA

International Classification:

G01V 3/00

US Classification:

324309, 324307

Abstract:

The present invention provides a system and method for parallel imaging that performs auto-calibrating reconstructions with a 2D (for 2D imaging) or 3D kernel (for 3D imaging) that exploits the computational efficiencies available when operating in certain data “domains” or “spaces”. The reconstruction process of multi-coil data is separated into a “training phase” and an “application phase” in which reconstruction weights are applied to acquired data to synthesize (replace) missing data. The choice of data space, i. e. , k-space, hybrid space, or image space, in which each step occurs is independently optimized to reduce total reconstruction time for a given imaging application. As such, the invention retains the image quality benefits of using a 2D k-space kernel without the computational burden of applying a 2D k-space convolution kernel.

US Patent:

7492153, Feb 17, 2009

Filed:

Jun 4, 2007

Appl. No.:

11/757571

Inventors:

Anja C. S. Brau - Menlo Park CA, US
Philip James Beatty - Menlo Park CA, US
Dwight G. Nishimura - Palo Alto CA, US

Assignee:

General Electric Company - Schenectady NY
Board of Trustees of the Leland Stanford, Jr. University - Palo Alto CA

International Classification:

G01V 3/00

US Classification:

324309, 324307

Abstract:

An RF coil assembly includes a plurality of RF source coils and an RF target coil separate from the plurality of RF source coils. A computer is programmed to acquire MR data of an imaging object from each of the plurality of RF source coils and to acquire MR data of the imaging object from the RF target coil. The computer is further programmed to calculate a set of weights based on a relationship between MR data acquired from each RF source coil and MR data acquired from the RF target coil and to reconstruct an image based on an application of the set of weights to at least a portion of the MR data acquired from each of the plurality of RF source coils.

US Patent:

7619410, Nov 17, 2009

Filed:

Jun 8, 2007

Appl. No.:

11/760368

Inventors:

Philip James Beatty - Menlo Park CA, US
Anja C. S. Brau - Menlo Park CA, US

Assignee:

General Electric Company - Schenectady NY
Board of Trustees of Leland Stanford, Jr. University - Palo Alto CA

International Classification:

G01V 3/00

US Classification:

324307, 324309, 324318

Abstract:

A system and method for MR imaging includes the use of a form of autocalibrated parallel imaging. By combining a segmented, rotated acquisition trajectory with autocalibration parallel imaging (API), the system and method can achieve improved motion insensitivity while maintaining the benefits of accelerated acquisition due to parallel imaging. In various embodiments, calibration values from a set of reference data or from another set of imaging data can be used in determining reconstruction weights for a given k-space data set. Thus, separate calibration data need not necessarily be acquired for each set of imaging data.

US Patent:

7688068, Mar 30, 2010

Filed:

May 6, 2008

Appl. No.:

12/116067

Inventors:

Philip James Beatty - Menlo Park CA, US

Assignee:

General Electric Company - Schenectady NY

International Classification:

G01V 3/00

US Classification:

324307, 324309

Abstract:

A system and method for combining parallel imaging and compressed sensing techniques to reconstruct an MR image includes a computer programmed to acquire undersampled MR data for a plurality of k-space locations that is less than an entirety of a k-space grid. The computer is further programmed to synthesize unacquired MR data by way of a parallel imaging technique for a portion of k-space location at which MR data was not acquired and apply a compressed sensing reconstruction technique to generate a reconstructed image from the acquired undersampled MR data and the synthesized unacquired data.

US Patent:

7692425, Apr 6, 2010

Filed:

Jan 30, 2009

Appl. No.:

12/363346

Inventors:

Anja C. S. Brau - Menlo Park CA, US
Philip James Beatty - Menlo Park CA, US
Stefan Skare - Palo Alto CA, US
Roland Bammer - Palo Alto CA, US

Assignee:

General Electric Company - Schenectady NY
The Board of Trustees of the Leland Stanford Jr. University - Palo Alto CA

International Classification:

G01V 3/00

US Classification:

324309, 324307

Abstract:

The present invention provides a system and method for parallel imaging that performs auto-calibrating reconstructions with a 2D (for 2D imaging) or 3D kernel (for 3D imaging) that exploits the computational efficiencies available when operating in certain data “domains” or “spaces”. The reconstruction process of multi-coil data is separated into a “training phase” and an “application phase” in which reconstruction weights are applied to acquired data to synthesize (replace) missing data. The choice of data space, i. e. , k-space, hybrid space, or image space, in which each step occurs is independently optimized to reduce total reconstruction time for a given imaging application. As such, the invention retains the image quality benefits of using a 2D k-space kernel without the computational burden of applying a 2D k-space convolution kernel.

US Patent:

7768264, Aug 3, 2010

Filed:

May 4, 2007

Appl. No.:

11/744329

Inventors:

Anja C. S. Brau - Menlo Park CA, US
Philip James Beatty - Menlo Park CA, US

Assignee:

General Electric Company - Schenectady NY
The Board of Trustees of the Leland Stanford, Jr. University - Palo Alto CA

International Classification:

G01V 3/00

US Classification:

324309, 324307

Abstract:

A system and method for parallel imaging is disclosed that generates linear combination coefficient weights by solving systems of linear equations formulated with correlation values. An MRI apparatus includes a computer programmed to acquire MR data from an imaging volume for a plurality of encoding locations using an array of RF receiver coils. Correlation values are calculated from the MR data. From these calculated correlation values, synthesis weights are generated. An image is then reconstructed based on an application of the synthesis weights to at least a portion of the MR data acquired from the array of RF receiver coils.

US Patent:

8076938, Dec 13, 2011

Filed:

Mar 31, 2009

Appl. No.:

12/415948

Inventors:

Anja C. S. Brau - Menlo Park CA, US
Philip James Beatty - Menlo Park CA, US

Assignee:

General Electric Company - Shenectady NY

International Classification:

G01V 3/00

US Classification:

324309, 324307

Abstract:

A method for generating a magnetic resonance (MR) image includes acquiring calibration data from each of a plurality of RF source coils. Calibration data for a virtual coil is generated based on the calibration data from the plurality of RF source coils and a set of synthesis weights is generated based on the calibration data from the plurality of RF source coils and the calibration data for the virtual coil. Accelerated MR data is acquired from each of the plurality of RF source coils. An image can be reconstructed based on an application of the set of synthesis weights to the accelerated MR data from the plurality of RF source coils.