Title :
Fast magnetic resonance spectroscopic imaging at 3 Tesla using autocalibrating parallel technique
Author :
Banerjee, Suchandrima ; Ozturk-Isik, Esin ; Nelson, Sarah J. ; Majumdar, Sharmila
Author_Institution :
Joint Graduate Group in Bioeng., California Univ., Berkeley, San Francisco, CA
fDate :
Aug. 30 2006-Sept. 3 2006
Abstract :
Magnetic resonance spectroscopic imaging (MRSI) is a powerful tool for diagnosis of many pathologic conditions. However conventional MRSI involves long scan times, in the order of 20 minutes. This work simulated an autocalibrating parallel technique based on GRAPPA algorithm for accelerating MRSI and applied it to 3 dimensional (3D) MRSI of the brain at 3 Tesla. Employing two fold undersampling in two phase-encoding directions, a four fold reduction in scantime was simulated. Metabolic parameters showed close agreement between the full and GRAPPA reconstructed spectral data
Keywords :
biomedical MRI; brain; calibration; image coding; image reconstruction; image sampling; medical image processing; neurophysiology; 20 min; 3 T; 3 dimensional MRSI; GRAPPA algorithm; GRAPPA based reconstructed spectral data; brain; generalized auto-calibrating partially parallel acquisitions; magnetic resonance spectroscopic imaging; metabolic parameters; pathologic condition; patient diagnosis; phase-encoding; undersampling technique; Acceleration; Calibration; Coils; Encoding; Image reconstruction; Magnetic resonance; Magnetic resonance imaging; Sampling methods; Spatial resolution; Spectroscopy; GRAPPA; Magnetic resonance spectroscopic imaging; parallel imaging;
Conference_Titel :
Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
Conference_Location :
New York, NY
Print_ISBN :
1-4244-0032-5
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2006.260659
