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Comparison of k-space sampling schemes for multidimensional MR spectroscopic imaging
J W Hugg1, A A Maudsley, M W Weiner
1Department of Radiology, University of California, San Francisco, USA.
Magnetic Resonance in Medicine
|September 1, 1996
Summary
Spherical and acquisition-weighted k-space sampling improve 31P MR spectroscopic imaging (MRSI) by reducing Gibbs ringing and tissue contamination. This enhances sensitivity and spatial response without compromising voxel volume or signal-to-noise ratio (SNR).
Area of Science:
- Medical Imaging
- Spectroscopy
- Biophysics
Background:
- Clinical 31P MR spectroscopic imaging (MRSI) requires signal averaging to improve sensitivity.
- Existing k-space sampling methods can lead to Gibbs ringing and adjacent tissue contamination.
Purpose of the Study:
- To compare eight different k-space sampling schemes for 31P MRSI.
- To evaluate methods for improving sensitivity and spatial response function in 31P MRSI.
Main Methods:
- Simulations were used to compare k-space sampling schemes.
- Spatial response functions (SRF), voxel volumes, signal-to-noise ratios (SNR), and data collection efficiencies were analyzed.
- Schemes were based on practical experiments executable within the same timeframe.
Main Results:
- Spherical and acquisition-weighted k-space sampling schemes were compared to cubic sampling.
- These schemes reduce Gibbs ringing along principal axes directions.
- Reduced contamination from adjacent tissues was observed without degrading voxel volume or SNR.
Conclusions:
- Spherical and acquisition-weighted k-space sampling offer advantages for 31P MRSI.
- These methods enhance image quality by minimizing artifacts.
- Improved sensitivity and spatial response can be achieved in clinical 31P MRSI studies.