
doi: 10.1002/mrm.27440
pmid: 30106186
PurposeTo introduce a novel MR pulse sequence, termed Looping Star, for fast, robust, and yet quiet, 3D radial multi‐gradient echo T2* MR imaging.MethodsThe Looping Star pulse sequence is based on the 3D radial Rotating Ultra‐Fast Imaging Sequence (RUFIS) extended by a time‐multiplexed gradient‐refocusing mechanism. First, multiple magnetic coherences are excited, which are subsequently gradient‐refocused in form of a looping k‐space trajectory. Accordingly, Looping Star captures an initial FID image followed by gradient echo images at equidistant echo times.ResultsLooping Star was demonstrated in phantom and in vivo volunteer experiments for 3D, high resolution T2* weighted imaging, T2* mapping, and quantitative susceptibility mapping (QSM). The method is fast, quiet, and robust against imperfections including Eddy currents, motion, and geometric distortions. When applied to a motor task fMRI experiment a BOLD sensitivity of 5% was achieved at minimal acoustic noise (i.e. 2.7 dB(A) above ambient noise) and with images congruent to other anatomical scans.ConclusionsLooping Star imaging provides new and exciting opportunities for fast, robust and yet quiet T2* MR imaging. Potential applications include T2*‐weighted imaging, T2* mapping, QSM, and fMRI.
Phantoms, Imaging, Brain, Reproducibility of Results, Acoustics, Image Enhancement, Magnetic Resonance Imaging, Pattern Recognition, Automated, Imaging, Three-Dimensional, Calibration, Image Interpretation, Computer-Assisted, Image Processing, Computer-Assisted, Humans, Algorithms
Phantoms, Imaging, Brain, Reproducibility of Results, Acoustics, Image Enhancement, Magnetic Resonance Imaging, Pattern Recognition, Automated, Imaging, Three-Dimensional, Calibration, Image Interpretation, Computer-Assisted, Image Processing, Computer-Assisted, Humans, Algorithms
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 33 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
