DocumentCode :
1253387
Title :
Pseudo-Fourier imaging (PFI): a technique for spatial encoding in MRI
Author :
Kadah, Yasser M. ; Hu, Xiaoping
Author_Institution :
Dept. of Radiol., Minnesota Univ., Minneapolis, MN, USA
Volume :
16
Issue :
6
fYear :
1997
Firstpage :
893
Lastpage :
902
Abstract :
In magnetic resonance imaging (MRI), spatial discrimination is usually achieved with selective excitation and/or Fourier encoding. While these approaches are favorable in most situations, it is sometimes desirable to have an approach that takes advantage of both selective excitation and Fourier encoding. Here, the authors describe the theory and experimental results of a new technique, which they call pseudo-Fourier imaging (PFI), that provides a flexible combination of both approaches. The technique is based on a windowed Fourier transform that expands the continuous object spatial distribution in terms of coherent states. A detailed description of the proposed technique is presented here. The practical implementation of this technique is described and shown to be achieveable using a set of selective excitations combined with a number of Fourier encoding steps. Then, the signal-to-noise ratio of the new technique is derived to show that it can be varied at will anywhere in the range between the ratios for selective excitation and Fourier encoding. Finally, the experimental results of implementing the technique are presented and some potential applications of the technique such as volume imaging, dynamic imaging and magnetic resonance angiography are discussed.
Keywords :
Fourier transforms; biomedical NMR; image coding; medical image processing; Fourier encoding steps; MRI spatial encoding technique; dynamic imaging; magnetic resonance angiography; magnetic resonance imaging; medical diagnostic imaging; pseudo-Fourier imaging; selective excitations; signal-to-noise ratio; volume imaging; Biomedical engineering; Encoding; Fourier transforms; High-resolution imaging; Magnetic resonance; Magnetic resonance imaging; Radio frequency; Radiology; Signal to noise ratio; Spatial resolution; Fourier Analysis; Image Processing, Computer-Assisted; Magnetic Resonance Imaging;
fLanguage :
English
Journal_Title :
Medical Imaging, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0062
Type :
jour
DOI :
10.1109/42.650885
Filename :
650885
Link To Document :
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