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:
May. 11, 2021

Filed:

Mar. 20, 2020
Applicant:

University of Cincinnati, Cincinnati, OH (US);

Inventor:

Jinghua Wang, Mason, OH (US);

Assignee:

UNIVERSITY OF CINCINNATI, Cincinnati, OH (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01R 33/48 (2006.01); G01R 33/561 (2006.01); A61B 5/055 (2006.01); G01R 33/565 (2006.01); G01R 33/56 (2006.01);
U.S. Cl.
CPC ...
G01R 33/4818 (2013.01); A61B 5/055 (2013.01); G01R 33/5608 (2013.01); G01R 33/5611 (2013.01); G01R 33/5616 (2013.01); G01R 33/56554 (2013.01);
Abstract

A method for reducing N/2 ghost or Nyquist ghost in magnetic resonance (MR) images is provided The method includes acquiring k-space dataset for an object using an echo planar imaging (EPI) sequence, dividing the k-space dataset into first partial k-space subset data related to positive echoes and second partial k-space subset data related to negative echoes, obtaining third partial k-space subset data that is N/2 or Nyquist ghost-free subset data, respectively registering the first partial k-space subset data and the second partial k-space subset data to a first portion of the third partial k-space subset data corresponding to positive echoes and a second portion of the third partial k-space subset data corresponding to negative echoes, combining the registered first partial k-space subset data and the registered second partial k-space subset data to form full k-space dataset, and reconstructing an image for the object based on the full k-space dataset.


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