Model-based iterative reconstruction for single-shot EPI at 7T

© 2017 International Society for Magnetic Resonance in Medicine Purpose: To describe a model-based reconstruction strategy for single-shot echo planar imaging (EPI) that intrinsically accounts for k-space nonuniformity, Nyquist ghosting, and geometric distortions during rather than before or after i...

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Main Authors: Uten Yarach, Myung Ho In, Itthi Chatnuntawech, Berkin Bilgic, Frank Godenschweger, Hendrik Mattern, Alessandro Sciarra, Oliver Speck
Format: Journal
Published: 2018
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http://cmuir.cmu.ac.th/jspui/handle/6653943832/43462
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-434622018-04-25T07:35:35Z Model-based iterative reconstruction for single-shot EPI at 7T Uten Yarach Myung Ho In Itthi Chatnuntawech Berkin Bilgic Frank Godenschweger Hendrik Mattern Alessandro Sciarra Oliver Speck Agricultural and Biological Sciences Arts and Humanities © 2017 International Society for Magnetic Resonance in Medicine Purpose: To describe a model-based reconstruction strategy for single-shot echo planar imaging (EPI) that intrinsically accounts for k-space nonuniformity, Nyquist ghosting, and geometric distortions during rather than before or after image reconstruction. Methods: Ramp sampling and inhomogeneous B0 field-induced distortion cause the EPI samples to lie on a non-Cartesian grid, thus requiring the nonuniform fast Fourier transform. Additionally, a 2D Nyquist ghost phase correction without the need for extra navigator acquisition is included in the proposed reconstruction. Coil compression is also incorporated to reduce the computational load. The proposed method is applied to phantom and human brain MRI data. Results: The results demonstrate that Nyquist ghosting and geometric distortions are reduced by the proposed reconstruction. The proposed 2D phase correction is superior to a conventional 1D correction. The reductions of both artifacts lead to improved temporal signal-to-noise ratio (tSNR). The virtual coil results suggest that the processing time can be reduced by up to 75%, with a mean tSNR loss of only 3.2% when using 8-virtual instead of 32-physical coils for twofold undersampled data. Conclusion: The proposed reconstruction improves the quality (ghosting, geometry, and tSNR) of EPI without requiring calibration data for Nyquist ghost correction. Magn Reson Med 78:2250–2264, 2017. © 2017 International Society for Magnetic Resonance in Medicine. 2018-01-24T03:48:53Z 2018-01-24T03:48:53Z 2017-12-01 Journal 15222594 07403194 2-s2.0-85012908532 10.1002/mrm.26633 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85012908532&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/43462
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Agricultural and Biological Sciences
Arts and Humanities
spellingShingle Agricultural and Biological Sciences
Arts and Humanities
Uten Yarach
Myung Ho In
Itthi Chatnuntawech
Berkin Bilgic
Frank Godenschweger
Hendrik Mattern
Alessandro Sciarra
Oliver Speck
Model-based iterative reconstruction for single-shot EPI at 7T
description © 2017 International Society for Magnetic Resonance in Medicine Purpose: To describe a model-based reconstruction strategy for single-shot echo planar imaging (EPI) that intrinsically accounts for k-space nonuniformity, Nyquist ghosting, and geometric distortions during rather than before or after image reconstruction. Methods: Ramp sampling and inhomogeneous B0 field-induced distortion cause the EPI samples to lie on a non-Cartesian grid, thus requiring the nonuniform fast Fourier transform. Additionally, a 2D Nyquist ghost phase correction without the need for extra navigator acquisition is included in the proposed reconstruction. Coil compression is also incorporated to reduce the computational load. The proposed method is applied to phantom and human brain MRI data. Results: The results demonstrate that Nyquist ghosting and geometric distortions are reduced by the proposed reconstruction. The proposed 2D phase correction is superior to a conventional 1D correction. The reductions of both artifacts lead to improved temporal signal-to-noise ratio (tSNR). The virtual coil results suggest that the processing time can be reduced by up to 75%, with a mean tSNR loss of only 3.2% when using 8-virtual instead of 32-physical coils for twofold undersampled data. Conclusion: The proposed reconstruction improves the quality (ghosting, geometry, and tSNR) of EPI without requiring calibration data for Nyquist ghost correction. Magn Reson Med 78:2250–2264, 2017. © 2017 International Society for Magnetic Resonance in Medicine.
format Journal
author Uten Yarach
Myung Ho In
Itthi Chatnuntawech
Berkin Bilgic
Frank Godenschweger
Hendrik Mattern
Alessandro Sciarra
Oliver Speck
author_facet Uten Yarach
Myung Ho In
Itthi Chatnuntawech
Berkin Bilgic
Frank Godenschweger
Hendrik Mattern
Alessandro Sciarra
Oliver Speck
author_sort Uten Yarach
title Model-based iterative reconstruction for single-shot EPI at 7T
title_short Model-based iterative reconstruction for single-shot EPI at 7T
title_full Model-based iterative reconstruction for single-shot EPI at 7T
title_fullStr Model-based iterative reconstruction for single-shot EPI at 7T
title_full_unstemmed Model-based iterative reconstruction for single-shot EPI at 7T
title_sort model-based iterative reconstruction for single-shot epi at 7t
publishDate 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85012908532&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/43462
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