Optimizing the efficiency of high-field multivoxel spectroscopic imaging by multiplexing in space and time
Gadi Goelman
Department of Radiology, New York University School of Medicine, New York, New York, USA
MRI Laboratory, Human Biology Research Center, Department of Medical Biophysics Hadassah Hebrew University Medical Center, Jerusalem, Israel
Search for more papers by this authorSongtao Liu
Department of Radiology, New York University School of Medicine, New York, New York, USA
Search for more papers by this authorDavid Hess
Department of Radiology, New York University School of Medicine, New York, New York, USA
Search for more papers by this authorCorresponding Author
Oded Gonen
Department of Radiology, New York University School of Medicine, New York, New York, USA
Department of Radiology, New York University School of Medicine, 650 First Ave., 6th Floor, New York, NY 10016===Search for more papers by this authorGadi Goelman
Department of Radiology, New York University School of Medicine, New York, New York, USA
MRI Laboratory, Human Biology Research Center, Department of Medical Biophysics Hadassah Hebrew University Medical Center, Jerusalem, Israel
Search for more papers by this authorSongtao Liu
Department of Radiology, New York University School of Medicine, New York, New York, USA
Search for more papers by this authorDavid Hess
Department of Radiology, New York University School of Medicine, New York, New York, USA
Search for more papers by this authorCorresponding Author
Oded Gonen
Department of Radiology, New York University School of Medicine, New York, New York, USA
Department of Radiology, New York University School of Medicine, 650 First Ave., 6th Floor, New York, NY 10016===Search for more papers by this authorAbstract
A new strategy to yield information from the maximum number of voxels, each at the optimum signal-to-noise ratio (SNR) per unit time, in MR spectroscopic imaging (MRSI) is introduced. In the past, maximum acquisition duty-cycle was obtained by multiplexing in time several single slices each repetition time (TR), while optimal SNR was achieved by encoding the entire volume of interest (VOI) each TR. We show that optimal SNR and acquisition efficiency can both be achieved simultaneously by multiplexing in space and time several slabs of several slices, each. Since coverage of common VOIs in 3D proton MRSI in the human brain typically requires eight or more slices, at 3 T or higher magnetic fields, two or more slabs can fit into the optimum TR (∼1.6 s). Since typically four or less slices would then fit into each slab, Hadamard encoding is favored in that direction for slice profile reasons. It is demonstrated that per fixed examination length, the new method gives, at 3 T, twice as many voxels, each of the same SNR and size, compared with current 3D chemical shift imaging techniques. It is shown that this gain will increase for more extensive spatial coverage or higher fields. Magn Reson Med, 2006. © 2006 Wiley-Liss, Inc.
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