Resumes
Resumes
Stefan Skare Phones & Addresses
-
Palo Alto, CA
Publications
Us Patents
Method And Apparatus Of Multi-Coil Mr Imaging With Hybrid Space Calibration
View pageUS 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
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
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.
Mri Data Acquisition Using Propeller K-Space Data Acquisition
View pageUS Patent:
7535222, May 19, 2009
Filed:
Jan 2, 2007
Appl. No.:
11/619008
Inventors:
Roland Bammer - Palo Alto CA, US
Stefan T. Skare - Palo Alto CA, US
Stefan T. Skare - Palo Alto CA, US
Assignee:
The Board of Trustees of the Leland Stanford Junior University - Palo Alto CA
International Classification:
G01V 3/00
US Classification:
324307, 324309, 324310, 324318
Abstract:
Disclosed is a new propeller EPI pulse sequence with reduced sensitivity to field inhomogeneities is proposed. Image artifacts such as blurring due to Nyquist ghosting and susceptibility gradients are investigated and compared with those obtained in previous propeller EPI studies. The proposed propeller EPI sequence uses a readout that is played out along the short axis of the propeller blade, orthogonal to the readout used in previous propeller methods. In contrast to long-axis readout propeller EPI, this causes the echo spacing between two consecutive phase-encoding (PE) lines to decrease, which in turn increases the k-space velocity in this direction and hence the pseudo-bandwidth.
Method And Apparatus Of Multi-Coil Mr Imaging With Hybrid Space Calibration
View pageUS 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
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
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.
Method And Apparatus Of Multi-Coil Mr Imaging With Hybrid Space Calibration
View pageUS Patent:
7282917, Oct 16, 2007
Filed:
Mar 30, 2006
Appl. No.:
11/278039
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
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
The Board of Trustees of the Leland Stanford, Jr. University - Stanford CA
International Classification:
G01V 3/00
US Classification:
324318, 324309
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.