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. 19, 2004

Filed:

Dec. 11, 2002
Applicant:
Inventors:

Michael Markl, Palo Alto, CA (US);

Norbert J. Pelc, Los Altos, CA (US);

Marcus Alley, Palo Alto, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01V 3/00 ;
U.S. Cl.
CPC ...
G01V 3/00 ;
Abstract

A novel technique for velocity measurements (PC-SSFP) is disclosed that combines CINE Phase Contrast (PC) MRI and balanced Steady State Free Precession (SSFP) imaging. Flow encoding is performed without the introduction of additional velocity encoding gradients in order to permit data acquisition with short TR comparable to repetition times of typical SSFP imaging sequences. Sensitivity to through plane velocities is instead established by inverting (i.e. negating) all gradients along the slice select direction. Velocity sensitivity (venc) can be adjusted by altering the first moments of the slice select gradients. Disturbances of the SSFP steady state are avoided by acquiring different flow echoes in consecutively (i.e. sequentially) executed scans, each over several cardiac cycles, using separate steady state preparation periods. Comparison of phantom measurements with those from established 2D-CINE-PC MRI excellent correlation between both modalities. Results of volunteer examinations exhibit advantages of PC-SSFP, which include the intrinsic high signal to noise ratio (SNR) of balanced SSFP and consequently low phase noise in measured velocities. An additional benefit of PC-SSFP is its lower reliance on in-flow dependent signal enhancement, therefore yielding more uniform SNR and better depiction of vessel geometry throughout the whole cardiac cycle in structures with slow and/or pulsatile flow.


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