Combined simultaneous multislice bSSFP and compressed sensing for first-pass myocardial perfusion at 1.5 T with high spatial resolution and coverage.

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Tytuł:: Combined simultaneous multislice bSSFP and compressed sensing for first-pass myocardial perfusion at 1.5 T with high spatial resolution and coverage.
Autorzy:: McElroy S; School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom.
Ferrazzi G; School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom.
Nazir MS; School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom.
Kunze KP; MR Research Collaborations, Siemens Healthcare Limited, Frimley, United Kingdom.
Neji R; School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom.; MR Research Collaborations, Siemens Healthcare Limited, Frimley, United Kingdom.
Speier P; Magnetic Resonance, Siemens Healthcare GmbH, Erlangen, Germany.
Stäb D; MR Research Collaborations, Siemens Healthcare Pty Ltd, Melbourne, Australia.
Forman C; Magnetic Resonance, Siemens Healthcare GmbH, Erlangen, Germany.
Razavi R; School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom.
Chiribiri A; School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom.
Roujol S; School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom.
Źródło:: Magnetic resonance in medicine [Magn Reson Med] 2020 Dec; Vol. 84 (6), pp. 3103-3116. Date of Electronic Publication: 2020 Jun 12.
Typ publikacji:: Journal Article; Research Support, Non-U.S. Gov't
Język:: English
Imprint Name(s):: Publication: 1999- : New York, NY : Wiley
Original Publication: San Diego : Academic Press,
MeSH Terms:: Magnetic Resonance Imaging*
Myocardial Perfusion Imaging*
Artifacts ; Humans ; Image Processing, Computer-Assisted ; Perfusion ; Prospective Studies
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Grant Information:: PG/19/11/34243 United Kingdom BHF_ British Heart Foundation; United Kingdom DH_ Department of Health; 203148 United Kingdom WT_ Wellcome Trust; WT 203148/Z/16/Z United Kingdom WT_ Wellcome Trust; United Kingdom WT_ Wellcome Trust
Contributed Indexing:: Keywords: compressed sensing; myocardial perfusion; simultaneous multislice
Entry Date(s):: Date Created: 20200613 Date Completed: 20210514 Latest Revision: 20230919
Update Code:: 20240105
PubMed Central ID:: PMC7611375
DOI:: 10.1002/mrm.28345
PMID:: 32530064
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Purpose: To implement and evaluate a pseudorandom undersampling scheme for combined simultaneous multislice (SMS) balanced SSFP (bSSFP) and compressed-sensing (CS) reconstruction to enable myocardial perfusion imaging with high spatial resolution and coverage at 1.5 T.
Methods: A prospective pseudorandom undersampling scheme that is compatible with SMS-bSSFP phase-cycling requirements and CS was developed. The SMS-bSSFP CS with pseudorandom and linear undersampling schemes were compared in a phantom. A high-resolution (1.4 × 1.4 mm 2 ) six-slice SMS-bSSFP CS perfusion sequence was compared with a conventional (1.9 × 1.9 mm 2 ) three-slice sequence in 10 patients. Qualitative assessment of image quality, perceived SNR, and number of diagnostic segments and quantitative measurements of sharpness, upslope index, and contrast ratio were performed.
Results: In phantom experiments, pseudorandom undersampling resulted in residual artifact (RMS error) reduction by a factor of 7 compared with linear undersampling. In vivo, the proposed sequence demonstrated higher perceived SNR (2.9 ± 0.3 vs. 2.2 ± 0.6, P = .04), improved sharpness (0.35 ± 0.03 vs. 0.32 ± 0.05, P = .01), and a higher number of diagnostic segments (100% vs. 94%, P = .03) compared with the conventional sequence. There were no significant differences between the sequences in terms of image quality (2.5 ± 0.4 vs. 2.8 ± 0.2, P = .08), upslope index (0.11 ± 0.02 vs. 0.10 ± 0.01, P = .3), or contrast ratio (3.28 ± 0.35 vs. 3.36 ± 0.43, P = .7).
Conclusion: A pseudorandom k-space undersampling compatible with SMS-bSSFP and CS reconstruction has been developed and enables cardiac MR perfusion imaging with increased spatial resolution and myocardial coverage, increased number of diagnostic segments and perceived SNR, and no difference in image quality, upslope index, and contrast ratio.
(© 2020 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine.)

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