Abstract
This study demonstrates a sampling scheme for three-dimensional projection imaging with half the number of projections. The angular distribution of projections is designed so that the oversampling of the low spatial frequencies, in tandem with a partial Fourier algorithm, can be used to recreate purposely missing projections. The performance of the sampling scheme and its associated reconstruction algorithm are illustrated with computer-simulated as well as experimental data sets. We find that this technique produces images of comparable quality to the conventional projection imaging scheme. Although a 30% loss of signal-to-noise ratio (SNR) results from its use, the algorithm should prove useful for applications where robustness against motion artifacts and reduced T2* signal loss are desired.
Original language | English (US) |
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Pages (from-to) | 470-477 |
Number of pages | 8 |
Journal | Magnetic resonance in medicine |
Volume | 37 |
Issue number | 3 |
DOIs | |
State | Published - Mar 1997 |
Externally published | Yes |
Keywords
- image reconstruction
- partial k-space
- projection imaging
ASJC Scopus subject areas
- Radiology Nuclear Medicine and imaging