Abstract
Purpose: To develop a method of achieving large field of view (FOV) imaging with a smaller amount of data in ultra-low-field (ULF) MRI.
Theory: In rotary scanning acquisition (RSA), data from the imaging object is acquired at multiple angles by rotating the object or the scanner. RSA is similar to radial-trajectory acquisition but simplifies the measurement and image reconstruction when concomitant fields are nonnegligible.
Methods: RSA was implemented to achieve large FOV with only three localized superconductive quantum interference device (SQUID) sensors at the ULF-MRI field of 50 mT.
Results: Simulations suggest benefits of RSA, including reduced concomitant field artifacts, lar ge FOV imaging, and SNR improvement. Experimental data demonstrate the feasibility of reconstructing lar ge FOV images using only three SQUID sensors with 33% of the amount of data collected using a Cartesian trajectory.
Conclusion: RSA can be useful in low-field, low-weight, orportable MRI to generate large FOV images with only a few sensors.
Theory: In rotary scanning acquisition (RSA), data from the imaging object is acquired at multiple angles by rotating the object or the scanner. RSA is similar to radial-trajectory acquisition but simplifies the measurement and image reconstruction when concomitant fields are nonnegligible.
Methods: RSA was implemented to achieve large FOV with only three localized superconductive quantum interference device (SQUID) sensors at the ULF-MRI field of 50 mT.
Results: Simulations suggest benefits of RSA, including reduced concomitant field artifacts, lar ge FOV imaging, and SNR improvement. Experimental data demonstrate the feasibility of reconstructing lar ge FOV images using only three SQUID sensors with 33% of the amount of data collected using a Cartesian trajectory.
Conclusion: RSA can be useful in low-field, low-weight, orportable MRI to generate large FOV images with only a few sensors.
| Original language | English |
|---|---|
| Article number | 75 |
| Pages (from-to) | 2255-2264 |
| Journal | Magnetic Resonance in Medicine |
| Volume | 75 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - 2016 |
| MoE publication type | A1 Journal article-refereed |
Keywords
- RSA
- radial trajectory
- rotation
- SENSE
- ULF MRI
- concomitant effect
- SNR