| Literature DB >> 24120293 |
Rita Schmidt1, Bikash Baishya, Noam Ben-Eliezer, Amir Seginer, Lucio Frydman.
Abstract
Recent studies described an "ultrafast" scanning method based on spatiotemporal (SPEN) principles. SPEN demonstrates numerous potential advantages over EPI-based alternatives, at no additional expense in experimental complexity. An important aspect that SPEN still needs to achieve for providing a competitive ultrafast MRI acquisition alternative, entails exploiting parallel imaging algorithms without compromising its proven capabilities. The present work introduces a combination of multi-band frequency-swept pulses simultaneously encoding multiple, partial fields-of-view, together with a new algorithm merging a Super-Resolved SPEN image reconstruction and SENSE multiple-receiving methods. This approach enables one to reduce both the excitation and acquisition times of sub-second SPEN acquisitions by the customary acceleration factor R, without compromises in either the method's spatial resolution, SAR deposition, or capability to operate in multi-slice mode. The performance of these new single-shot imaging sequences and their ancillary algorithms were explored and corroborated on phantoms and human volunteers at 3 T. The gains of the parallelized approach were particularly evident when dealing with heterogeneous systems subject to major T2/T2* effects, as is the case upon single-scan imaging near tissue/air interfaces.Entities:
Keywords: EPI; Echo Time; Echo-Planar Imaging; FOV; FT; Field of View; Fourier Transform; MRI; Magnetic Resonance Imaging; Multi-band chirp pulse; NMR; Nuclear Magnetic Resonance; PE; Parallel MRI; Parallel acquisitions; Phase-Encode; RF; RO; Radio frequency; Read-Out; SAR; SENSE; SP; SPEN; SPatio-temporal ENcoding; SR; Sensitivity Encoding; Spatiotemporal encoding; Specific Absorption Rate; Stationary Point; Super-resolution; TE; Ultrafast MRI; pMRI
Mesh:
Year: 2013 PMID: 24120293 PMCID: PMC5081100 DOI: 10.1016/j.mri.2013.07.007
Source DB: PubMed Journal: Magn Reson Imaging ISSN: 0730-725X Impact factor: 2.546