DocumentCode :
1103324
Title :
Compressed Sensing MRI
Author :
Lustig, Michael ; Donoho, David L. ; Santos, Juan M. ; Pauly, John M.
Author_Institution :
Stanford Univ., Stanford
Volume :
25
Issue :
2
fYear :
2008
fDate :
3/1/2008 12:00:00 AM
Firstpage :
72
Lastpage :
82
Abstract :
This article reviews the requirements for successful compressed sensing (CS), describes their natural fit to MRI, and gives examples of four interesting applications of CS in MRI. The authors emphasize on an intuitive understanding of CS by describing the CS reconstruction as a process of interference cancellation. There is also an emphasis on the understanding of the driving factors in applications, including limitations imposed by MRI hardware, by the characteristics of different types of images, and by clinical concerns.
Keywords :
biomedical MRI; image reconstruction; medical image processing; reviews; MRI; compressed sensing; image reconstruction; interference cancellation; magnetic resonance imaging; review; Biomedical imaging; Compressed sensing; Encoding; Image coding; Image reconstruction; Magnetic resonance imaging; Magnetization; Protons; Radio frequency; Wavelet transforms;
fLanguage :
English
Journal_Title :
Signal Processing Magazine, IEEE
Publisher :
ieee
ISSN :
1053-5888
Type :
jour
DOI :
10.1109/MSP.2007.914728
Filename :
4472246
Link To Document :
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