Quantitative T1 mapping using multi-slice multi-shot inversion recovery EPI

An efficient multi-slice inversion–recovery EPI (MS-IR-EPI) sequence for fast, high spatial resolution, quantitative T1 mapping is presented, using a segmented simultaneous multi-slice acquisition, combined with slice order shifting across multiple acquisitions. The segmented acquisition minimises t...

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Main Authors: Rosa M. Sanchez Panchuelo, Olivier Mougin, Robert Turner, Susan T. Francis
Format: Article
Language:English
Published: Elsevier 2021-07-01
Series:NeuroImage
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811921002536
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spelling doaj-6f6f1821315645968aae395f6cc98ecf2021-05-26T04:25:11ZengElsevierNeuroImage1095-95722021-07-01234117976Quantitative T1 mapping using multi-slice multi-shot inversion recovery EPIRosa M. Sanchez Panchuelo0Olivier Mougin1Robert Turner2Susan T. Francis3Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, United Kingdom; NIHR Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, United Kingdom; Corresponding author at: Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham NG7 2RD, United Kingdom.Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, United KingdomSir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, United Kingdom; Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, GermanySir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, United Kingdom; NIHR Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, United KingdomAn efficient multi-slice inversion–recovery EPI (MS-IR-EPI) sequence for fast, high spatial resolution, quantitative T1 mapping is presented, using a segmented simultaneous multi-slice acquisition, combined with slice order shifting across multiple acquisitions. The segmented acquisition minimises the effective TE and readout duration compared to a single-shot EPI scheme, reducing geometric distortions to provide high quality T1 maps with a narrow point-spread function. The precision and repeatability of MS-IR-EPI T1 measurements are assessed using both T1-calibrated and T2-calibrated ISMRM/NIST phantom spheres at 3 and 7 T and compared with single slice IR and MP2RAGE methods. Magnetization transfer (MT) effects of the spectrally-selective fat-suppression (FS) pulses required for in vivo imaging are shown to shorten the measured in-vivo T1 values. We model the effect of these fat suppression pulses on T1 measurements and show that the model can remove their MT contribution from the measured T1, thus providing accurate T1 quantification. High spatial resolution T1 maps of the human brain generated with MS-IR-EPI at 7 T are compared with those generated with the widely implemented MP2RAGE sequence. Our MS-IR-EPI sequence provides high SNR per unit time and sharper T1 maps than MP2RAGE, demonstrating the potential for ultra-high resolution T1 mapping and the improved discrimination of functionally relevant cortical areas in the human brain.http://www.sciencedirect.com/science/article/pii/S1053811921002536Structural MRIQuantitative T1 mappingMulti-slice IR‑EPIFat suppressionNeuroanatomy
collection DOAJ
language English
format Article
sources DOAJ
author Rosa M. Sanchez Panchuelo
Olivier Mougin
Robert Turner
Susan T. Francis
spellingShingle Rosa M. Sanchez Panchuelo
Olivier Mougin
Robert Turner
Susan T. Francis
Quantitative T1 mapping using multi-slice multi-shot inversion recovery EPI
NeuroImage
Structural MRI
Quantitative T1 mapping
Multi-slice IR‑EPI
Fat suppression
Neuroanatomy
author_facet Rosa M. Sanchez Panchuelo
Olivier Mougin
Robert Turner
Susan T. Francis
author_sort Rosa M. Sanchez Panchuelo
title Quantitative T1 mapping using multi-slice multi-shot inversion recovery EPI
title_short Quantitative T1 mapping using multi-slice multi-shot inversion recovery EPI
title_full Quantitative T1 mapping using multi-slice multi-shot inversion recovery EPI
title_fullStr Quantitative T1 mapping using multi-slice multi-shot inversion recovery EPI
title_full_unstemmed Quantitative T1 mapping using multi-slice multi-shot inversion recovery EPI
title_sort quantitative t1 mapping using multi-slice multi-shot inversion recovery epi
publisher Elsevier
series NeuroImage
issn 1095-9572
publishDate 2021-07-01
description An efficient multi-slice inversion–recovery EPI (MS-IR-EPI) sequence for fast, high spatial resolution, quantitative T1 mapping is presented, using a segmented simultaneous multi-slice acquisition, combined with slice order shifting across multiple acquisitions. The segmented acquisition minimises the effective TE and readout duration compared to a single-shot EPI scheme, reducing geometric distortions to provide high quality T1 maps with a narrow point-spread function. The precision and repeatability of MS-IR-EPI T1 measurements are assessed using both T1-calibrated and T2-calibrated ISMRM/NIST phantom spheres at 3 and 7 T and compared with single slice IR and MP2RAGE methods. Magnetization transfer (MT) effects of the spectrally-selective fat-suppression (FS) pulses required for in vivo imaging are shown to shorten the measured in-vivo T1 values. We model the effect of these fat suppression pulses on T1 measurements and show that the model can remove their MT contribution from the measured T1, thus providing accurate T1 quantification. High spatial resolution T1 maps of the human brain generated with MS-IR-EPI at 7 T are compared with those generated with the widely implemented MP2RAGE sequence. Our MS-IR-EPI sequence provides high SNR per unit time and sharper T1 maps than MP2RAGE, demonstrating the potential for ultra-high resolution T1 mapping and the improved discrimination of functionally relevant cortical areas in the human brain.
topic Structural MRI
Quantitative T1 mapping
Multi-slice IR‑EPI
Fat suppression
Neuroanatomy
url http://www.sciencedirect.com/science/article/pii/S1053811921002536
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