## 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 T_{2}* 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