Systematic image alteration due to phase accumulation during RF pulse excitation in pure phase encode magnetic resonance imaging

2016 ◽  
Vol 45A (6) ◽  
pp. e21425
Author(s):  
Tess McDonald ◽  
Bryce MacMillan ◽  
Ben Newling ◽  
Bruce J. Balcom
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Pulse Excitation ◽  
Resonance Imaging ◽  
Pure Phase ◽  
Rf Pulse ◽  
Phase Accumulation ◽  
Phase Encode

Challenging the optimality of the pulse excitation in magnetic resonance imaging

2008 ◽  
Vol 41 (2) ◽  
pp. 10301-10306
Author(s):  
B. Tahayori ◽  
L.A. Johnston ◽  
I.M.Y. Mareels ◽  
P.M. Farrell
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Pulse Excitation ◽  
Resonance Imaging

Variable bandwidth filtering for magnetic resonance imaging with pure phase encoding

2010 ◽  
Vol 202 (2) ◽  
pp. 234-238 ◽  
Author(s):  
Juan C. García-Naranjo ◽  
Paul M. Glover ◽  
Florin Marica ◽  
Bruce J. Balcom
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Resonance Imaging ◽  
Phase Encoding ◽  
Variable Bandwidth ◽  
Pure Phase

Selective Non-Excitation of Water or Fat Protons in Magnetic Resonance Imaging

1987 ◽  
Vol 42 (12) ◽  
pp. 1391-1395
Author(s):  
M. Braun ◽  
W. I. Jung ◽  
O. Lutz ◽  
R. Oeschey
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Signal To Noise Ratio ◽  
Fat Distribution ◽  
Whole Body ◽  
Pulse Excitation ◽  
Resonance Imaging ◽  
Spectral Separation ◽  
Magnetic Resonance Imaging Mri ◽  
Test Objects

Nuclear magnetic resonance imaging (MRI) of water and fat protons has been performed with a 1.5 T whole body imager. The highly selective excitation, necessary for the discrimination of the two proton species, has been achieved by different four and five pulse excitation schemes which had to be adapted to the needs of MRI and completed to imaging sequences. Their ability to produce well separated water and fat distribution images of test objects is demonstrated. The special features of the method such as signal-to-noise ratio, insensitivity to rf-field inhomogeneities, ease of implementation and data handling are discussed and compared to existing spectral separation techniques.

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