The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 16, 2007

Filed:

Mar. 30, 2006
Applicants:

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);

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);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01V 3/00 (2006.01);
U.S. Cl.
CPC ...
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.


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