Invention Grant
- Patent Title: Algebraic reconstruction method for off-resonance and eddy-current correction in functional and diffusion weighted magnetic resonance imaging
-
Application No.: US15827650Application Date: 2017-11-30
-
Publication No.: US10429476B2Publication Date: 2019-10-01
- Inventor: Benjamin Zahneisen , Roland Bammer
- Applicant: The Board of Trustees of the Leland Stanford Junior University
- Applicant Address: US CA Stanford
- Assignee: The Board of Trustees of the Leland Stanford Junior University
- Current Assignee: The Board of Trustees of the Leland Stanford Junior University
- Current Assignee Address: US CA Stanford
- Agency: Lumen Patent Firm
- Main IPC: G01R33/561
- IPC: G01R33/561 ; G01R33/56 ; G01R33/48 ; G01R33/565

Abstract:
Improved correction of MRI images is provided making use of three main principles. First, a hybrid representation of the image reconstruction problem is used where the raw MRI data is Fourier transformed in x to provide a x-ky-kz representation. Second, blip-up blip-down acquisition is performed to provide data having equal and opposite regular k-space encoding. Third, joint least squares reconstruction is performed using a singular value decomposition of a joint blip-up, blip-down encoding matrix. The encoding matrix includes at least the effects of regular k-space encoding and known phase variations due to system non-ideality. Preferably, suitable regularization of the encoding matrix based on its singular values is used to automatically remove poorly conditioned parts of the data.
Public/Granted literature
Information query
IPC分类: