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