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:
Feb. 16, 1993

Filed:

Nov. 06, 1990
Applicant:
Inventors:

Jens D Jensen, Hamburg, DE;

Wolfgang Vollmann, Hamburg, DE;

Assignee:

U.S. Philips Corp., New York, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01R / ;
U.S. Cl.
CPC ...
324309 ;
Abstract

A magnetic resonance imaging method for generating separate fat and water images of at least one slice utilizes a plurality of sequences acting on the slice in the presence of a steady magnetic field, each sequence including at least one first RF pulse, followed by a phase encoding gradient during which the spin resonance signal formed in the slice is detected, groups of sequences being formed with a position in time of the measuring gradient and/or a further RF pulse, if any, which differs from one group to another, the number of sequences per slice being twice as large as necessary for the formation of a similar image without fat/water separation. The phase encoding gradient is varied in steps from one sequence to another. The separate fat and water images (F,W) are formed from the resultant spin resonance signals by 2D Fourier transformation.


Find Patent Forward Citations

Jensen, Jens. (1993). Magnetic resonance tomography method for generating separate fat and (U.S. Patent No. 5187439). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/5187439

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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