DocumentCode
1812809
Title
MRSI data reconstruction with Generalized SENSE
Author
Bao, Yufang ; Maudsley, Andrew A.
Author_Institution
Dept. of Radiol., Miami Univ., FL
fYear
2006
fDate
6-9 April 2006
Firstpage
25
Lastpage
28
Abstract
The Generalized SENSE algorithm has previously been proposed to reconstruct high-resolution MRI data obtained using incomplete spatial sampling with multi-channel detection. In this report a modification of this algorithm is presented and applied to magnetic resonance spectroscopic imaging (MRSI) data. It is shown that this reconstruction method enables a decrease in data acquisition time to be obtained with minimal impact on image quality
Keywords
biomedical MRI; data acquisition; image reconstruction; medical image processing; Generalized SENSE; MRSI data reconstruction; data acquisition time; image quality; incomplete spatial sampling; magnetic resonance spectroscopic imaging; multichannel detection; Coils; Data acquisition; High-resolution imaging; Image reconstruction; Image sampling; Magnetic resonance imaging; Reconstruction algorithms; Sampling methods; Spatial resolution; Spectroscopy;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Imaging: Nano to Macro, 2006. 3rd IEEE International Symposium on
Conference_Location
Arlington, VA
Print_ISBN
0-7803-9576-X
Type
conf
DOI
10.1109/ISBI.2006.1624843
Filename
1624843
Link To Document