DocumentCode
1508171
Title
Guest Editorial Compressive Sensing for Biomedical Imaging
Author
Ge Wang ; Bresler, Yoram ; Ntziachristos, Vasilis
Author_Institution
VT-WFU Sch. of Biomed. Eng. & Sci., Virginia Tech, Blacksburg, VA, USA
Volume
30
Issue
5
fYear
2011
fDate
5/1/2011 12:00:00 AM
Firstpage
1013
Lastpage
1016
Abstract
Compressive sensing (CS) has seen impressive successes and fast growth over the past ten years, including applications in medical imaging. Applications of CS to magnetic resonance imaging (MRI) have been the earliest, most numerous, and most diverse, owing to the tremendous flexibility in designing the acquisition process and the pressing need that MRI has, as a slow acquisition modality, to reduce the sampling requirements.
Keywords
biomedical MRI; data compression; image coding; medical image processing; L1-norm minimization; biomedical imaging; compressive sensing; data acquisition process; greedy algorithms; image compression; optimization procedure; uncompressed image; Compressed sensing; Special issues and sections;
fLanguage
English
Journal_Title
Medical Imaging, IEEE Transactions on
Publisher
ieee
ISSN
0278-0062
Type
jour
DOI
10.1109/TMI.2011.2145070
Filename
5760046
Link To Document