TY - JOUR
T1 - Super-resolved parallel MRI by spatiotemporal encoding
AU - Schmidt, Rita
AU - Baishya, Bikash
AU - Ben Eliezer, Eliezer, Noam
AU - Seginer, Amir
AU - Frydman, Lucio
N1 - Kamin-Yeda Project (Israel Ministry of Trade and Industry) [711237]; ERC [246754]; DIP Collaborative Project (Federal German Ministry for Education and Research) [710907]; Helen and Martin Kimmel Award for Innovative Investigation; generosity of the Perlman Family FoundationWe are grateful to Dr. Sagit Shushan (Wolfson Medical Center), Dr. Edna Furman-Haran and the Weizmann MRI technician team, for assistance in the human imaging scans. This research was supported by the Kamin-Yeda Project 711237 (Israel Ministry of Trade and Industry), ERC Advanced Grant #246754, DIP Collaborative Project (Project 710907; Federal German Ministry for Education and Research), a Helen and Martin Kimmel Award for Innovative Investigation, and the generosity of the Perlman Family Foundation.
PY - 2014/1
Y1 - 2014/1
N2 - 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.
AB - 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.
KW - Multi-band chirp pulse
KW - Parallel acquisitions
KW - SENSE
KW - Spatiotemporal encoding
KW - Ultrafast MRI
UR - http://www.scopus.com/inward/record.url?scp=84888133957&partnerID=8YFLogxK
U2 - 10.1016/j.mri.2013.07.007
DO - 10.1016/j.mri.2013.07.007
M3 - مقالة
C2 - 24120293
SN - 0730-725X
VL - 32
SP - 60
EP - 70
JO - Magnetic Resonance Imaging
JF - Magnetic Resonance Imaging
IS - 1
ER -