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

fYear

2006

fDate

Aug. 30 2006-Sept. 3 2006

Firstpage

1866

Lastpage

1869

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE

Conference_Location

New York, NY

ISSN

1557-170X

Print_ISBN

1-4244-0032-5

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2006.260659

Filename

4462141