Multiple-coil k-space interpolation enhances resolution in single-shot spatiotemporal MRI.

TitleMultiple-coil k-space interpolation enhances resolution in single-shot spatiotemporal MRI.
Publication TypeJournal Article
Year of Publication2018
AuthorsLiberman G, Solomon E, Lustig M, Frydman L
JournalMagn Reson Med
Volume79
Issue2
Pagination796-805
Date Published2018 02
ISSN1522-2594
KeywordsAlgorithms, Brain, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Phantoms, Imaging, Reproducibility of Results
Abstract

PURPOSE: Spatio-temporal encoding (SPEN) experiments can deliver single-scan MR images without folding complications and with robustness to chemical shift and susceptibility artifacts. Further resolution improvements are shown to arise by relying on multiple receivers, to interpolate the sampled data along the low-bandwidth dimension. The ensuing multiple-sensor interpolation is akin to recently introduced SPEN interleaving procedures, albeit without requiring multiple shots.

METHODS: By casting SPEN's spatial rasterization in k-space, it becomes evident that local k-data interpolations enabled by multiple receivers are akin to real-space interleaving of SPEN images. The practical implementation of such a resolution-enhancing procedure becomes similar to those normally used in simultaneous acquisition of spatial harmonics or sensitivity encoding, yet relaxing these methods' fold-over constraints.

RESULTS: Experiments validating the theoretical expectations were carried out on phantoms and human volunteers on a 3T scanner. The experiments showed the expected resolution enhancement, at no cost to the sequence's complexity. With the addition of multibanding and stimulated echo procedures, 48-slice full-brain coverage could be recorded free from distortions at submillimeter resolution, in 3 s.

CONCLUSIONS: Super-resolved SPEN with SENSE (SUSPENSE) achieves the goals of multishot SPEN interleaving delivering single-shot submillimeter in-plane resolutions in scanners equipped with suitable multiple sensors. Magn Reson Med 79:796-805, 2018. © 2017 International Society for Magnetic Resonance in Medicine.

DOI10.1002/mrm.26731
Alternate JournalMagn Reson Med
PubMed ID28556180
Related Institute: 
MRI Research Institute (MRIRI)

Weill Cornell Medicine
Department of Radiology
525 East 68th Street New York, NY 10065