DocumentCode :
1396693
Title :
Constrained reconstruction applied to 2-D chemical shift imaging
Author :
Wear, Keith A. ; Myers, Kyle J. ; Rajan, Sunder S. ; Grossman, Laurence W.
Author_Institution :
Center for Devices & Radiolog. Health Food & Drug Adm., Rockville, MD, USA
Volume :
16
Issue :
5
fYear :
1997
Firstpage :
591
Lastpage :
597
Abstract :
The method of constrained reconstruction, previously applied to magnetic resonance imaging (MRI), is extended to magnetic resonance spectroscopy. This method assumes a model for the MR signal. The model parameters are estimated directly from the phase encoded data. This process obviates the need for the fast Fourier transform (FFT) (which often exhibits limited resolution and ringing artifact). The technique is tested on simulated data, phantom data, and data acquired from human liver in vivo. In each case, constrained reconstruction offers spatial resolution superior to that obtained with the FFT.
Keywords :
NMR spectroscopy; biomedical NMR; chemical shift; fast Fourier transforms; image reconstruction; image resolution; liver; medical image processing; parameter estimation; 2-D chemical shift imaging; MRI; constrained reconstruction; estimated model parameters; fast Fourier transform; human liver; limited resolution; magnetic resonance imaging; magnetic resonance spectroscopy; phantom data; phase encoded data; ringing artifact; simulated data; spatial resolution; Chemicals; Fast Fourier transforms; Image reconstruction; Magnetic resonance; Magnetic resonance imaging; Parameter estimation; Phase estimation; Signal resolution; Spatial resolution; Spectroscopy; Artifacts; Computer Simulation; Fourier Analysis; Humans; Image Processing, Computer-Assisted; Liver; Magnetic Resonance Imaging; Magnetic Resonance Spectroscopy; Models, Chemical; Muscle, Skeletal; Phantoms, Imaging; Phosphates; Phosphocreatine; Phosphorus Isotopes;
fLanguage :
English
Journal_Title :
Medical Imaging, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0062
Type :
jour
DOI :
10.1109/42.640749
Filename :
640749
Link To Document :
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