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:
Mar. 06, 2018

Filed:

Jan. 13, 2016
Applicants:

Siemens Healthcare Gmbh, Erlangen, DE;

National Institutes of Health (Nih), Bethesda, MD (US);

Inventors:

Xiufeng Li, Shoreview, MN (US);

Gregory J. Metzger, Lake Elmo, MN (US);

Kamil Ugurbil, Minneapolis, MN (US);

Dingxin Wang, Apple Valley, MN (US);

Assignees:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 11/00 (2006.01); G01R 33/563 (2006.01); G01R 33/561 (2006.01);
U.S. Cl.
CPC ...
G06T 11/003 (2013.01); G01R 33/56366 (2013.01); G01R 33/5616 (2013.01);
Abstract

A method for generating a perfusion weighted image using ASL with segmented acquisitions includes dividing an anatomical area of interest into slices and performing an EPI acquisition process using an MRI system to acquire a control image dataset representative of the slices. An ASL preparation process is performed using the MRI system to magnetically label protons in arterial blood water upstream from the anatomical area of interest. Following a first time period, a multi-band EPI acquisition process is performed using the MRI system to acquire a first labeled image dataset representative of a first subset of the slices. Following a second time period, another multi-band EPI acquisition process is performed using the MRI system to acquire a second labeled image dataset representative of a second subset of the slices. A perfusion weighted image is generated by subtracting the first and second labeled image dataset from the control image dataset.


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