Super-resolved parallel MRI by spatiotemporal encoding

Rita Schmidt, Bikash Baishya, Eliezer, Noam Ben Eliezer, Amir Seginer, Lucio Frydman

Research output: Contribution to journalArticlepeer-review

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 3T. 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.

Original languageEnglish
Pages (from-to)60-70
Number of pages11
JournalMagnetic Resonance Imaging
Volume32
Issue number1
DOIs
StatePublished - Jan 2014

Keywords

  • Multi-band chirp pulse
  • Parallel acquisitions
  • SENSE
  • Spatiotemporal encoding
  • Ultrafast MRI

All Science Journal Classification (ASJC) codes

  • Biophysics
  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

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