Near-contiguous spin echo imaging using matched-phase RF and its application in velocity-selective arterial spin labeling.
| Publication Type | Academic Article |
| Authors | Zun Z, Hargreaves B, Pauly J, Zaharchuk G |
| Journal | Magn Reson Med |
| Volume | 71 |
| Issue | 6 |
| Pagination | 2043-50 |
| Date Published | 07/15/2013 |
| ISSN | 1522-2594 |
| Keywords | Cerebrovascular Circulation, Image Enhancement, Magnetic Resonance Imaging, Spin Labels |
| Abstract | PURPOSE: The minimum slice spacing in multislice imaging is limited by inter-slice crosstalk due to an imperfect slice profile. This study sought to minimize the slice spacing using matched-phase RF pulses and demonstrate its application in cerebral blood flow imaging using velocity-selective arterial spin labeling. METHODS: A spin-echo matched-phase 90°-180° RF pair was designed using Shinnar-Le Roux algorithm in order to improve the slice profile of longitudinal magnetization, which plays a more critical role in creating interslice crosstalk than transverse magnetization. Both transverse and longitudinal slice profiles were compared between matched-phase RF and sinc-based RF pulses in simulations and measurements. Velocity-selective arterial spin labeling was performed in normal volunteers using both RF pulses and standard deviation of cerebral blood flow time series was calculated to examine ASL signal stability. RESULTS: Using designed matched-phase RF, the longitudinal slice profile was sharpened without signal-to-noise ratio loss. In velocity-selective arterial spin labeling imaging, the temporal standard deviation of cerebral blood flow measurements was reduced from 48 mL/100 g/min to 32 mL/100 g/min by 33% using matched-phase RF pulses, and as a result, cerebral blood flow image quality improved. CONCLUSION: This study reports that near-contiguous multislice imaging can be achieved using matched-phase RF pulses without compromising signal-to-noise ratio and signal stability. |
| DOI | 10.1002/mrm.24866 |
| PubMed ID | 23857667 |
| PubMed Central ID | PMC4087163 |