Effects of image reconstruction on fiber orientation mapping from multichannel diffusion MRI: reducing the noise floor using SENSE

Purpose: To examine the effects of the reconstruction algorithm of magnitude images from multi-channel diffusion MRI on fibre orientation estimation. Theory and Methods: It is well established that the method used to combine signals from different coil elements in multi-channel MRI can have an impa...

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Main Authors:	Sotiropoulos, S.N., Moeller, S., Jbabdi, S., Xu, J., Andersson, J.L., Auerbach, E.J., Yacoub, E., Feinberg, D., Setsompop, K., Wald, L.L., Behrens, T.E.J., Ugurbil, K., Lenglet, C.
Format:	Article
Language:	English
Published:	Wiley 2013
Online Access:	http://eprints.nottingham.ac.uk/52875/ http://eprints.nottingham.ac.uk/52875/ http://eprints.nottingham.ac.uk/52875/ http://eprints.nottingham.ac.uk/52875/1/nihms428785.pdf

id	nottingham-52875
recordtype	eprints
spelling	nottingham-528752018-07-11T10:30:13Z http://eprints.nottingham.ac.uk/52875/ Effects of image reconstruction on fiber orientation mapping from multichannel diffusion MRI: reducing the noise floor using SENSE Sotiropoulos, S.N. Moeller, S. Jbabdi, S. Xu, J. Andersson, J.L. Auerbach, E.J. Yacoub, E. Feinberg, D. Setsompop, K. Wald, L.L. Behrens, T.E.J. Ugurbil, K. Lenglet, C. Purpose: To examine the effects of the reconstruction algorithm of magnitude images from multi-channel diffusion MRI on fibre orientation estimation. Theory and Methods: It is well established that the method used to combine signals from different coil elements in multi-channel MRI can have an impact on the properties of the reconstructed magnitude image. Utilising a root-sum-of-squares (RSoS) approach results in a magnitude signal that follows an effective non-central-distribution. As a result, the noise floor, the minimum measurable in the absence of any true signal, is elevated. This is particularly relevant for diffusion-weighted MRI, where the signal attenuation is of interest. Results: In this study, we illustrate problems that such image reconstruction characteristics may cause in the estimation of fibre orientations, both for model-based and model-free approaches, when modern 32-channel coils are employed. We further propose an alternative image reconstruction method that is based on sensitivity encoding (SENSE) and preserves the Rician nature of the single-channel, magnitude MR signal. We show that for the same k-space data, RSoS can cause excessive overfitting and reduced precision in orientation estimation compared to the SENSE-based approach. Conclusion: These results highlight the importance of choosing the appropriate image reconstruction method for tractography studies that use multi-channel receiver coils for diffusion MRI acquisition. Wiley 2013-11-18 Article PeerReviewed application/pdf en http://eprints.nottingham.ac.uk/52875/1/nihms428785.pdf Sotiropoulos, S.N. and Moeller, S. and Jbabdi, S. and Xu, J. and Andersson, J.L. and Auerbach, E.J. and Yacoub, E. and Feinberg, D. and Setsompop, K. and Wald, L.L. and Behrens, T.E.J. and Ugurbil, K. and Lenglet, C. (2013) Effects of image reconstruction on fiber orientation mapping from multichannel diffusion MRI: reducing the noise floor using SENSE. Magnetic Resonance in Medicine, 70 (6). pp. 1682-1689. ISSN 1522-2594 https://onlinelibrary.wiley.com/doi/abs/10.1002/mrm.24623 doi:10.1002/mrm.24623 doi:10.1002/mrm.24623
repository_type	Digital Repository
institution_category	Local University
institution	University of Nottingham Malaysia Campus
building	Nottingham Research Data Repository
collection	Online Access
language	English
description	Purpose: To examine the effects of the reconstruction algorithm of magnitude images from multi-channel diffusion MRI on fibre orientation estimation. Theory and Methods: It is well established that the method used to combine signals from different coil elements in multi-channel MRI can have an impact on the properties of the reconstructed magnitude image. Utilising a root-sum-of-squares (RSoS) approach results in a magnitude signal that follows an effective non-central-distribution. As a result, the noise floor, the minimum measurable in the absence of any true signal, is elevated. This is particularly relevant for diffusion-weighted MRI, where the signal attenuation is of interest. Results: In this study, we illustrate problems that such image reconstruction characteristics may cause in the estimation of fibre orientations, both for model-based and model-free approaches, when modern 32-channel coils are employed. We further propose an alternative image reconstruction method that is based on sensitivity encoding (SENSE) and preserves the Rician nature of the single-channel, magnitude MR signal. We show that for the same k-space data, RSoS can cause excessive overfitting and reduced precision in orientation estimation compared to the SENSE-based approach. Conclusion: These results highlight the importance of choosing the appropriate image reconstruction method for tractography studies that use multi-channel receiver coils for diffusion MRI acquisition.
format	Article
author	Sotiropoulos, S.N. Moeller, S. Jbabdi, S. Xu, J. Andersson, J.L. Auerbach, E.J. Yacoub, E. Feinberg, D. Setsompop, K. Wald, L.L. Behrens, T.E.J. Ugurbil, K. Lenglet, C.
spellingShingle	Sotiropoulos, S.N. Moeller, S. Jbabdi, S. Xu, J. Andersson, J.L. Auerbach, E.J. Yacoub, E. Feinberg, D. Setsompop, K. Wald, L.L. Behrens, T.E.J. Ugurbil, K. Lenglet, C. Effects of image reconstruction on fiber orientation mapping from multichannel diffusion MRI: reducing the noise floor using SENSE
author_facet	Sotiropoulos, S.N. Moeller, S. Jbabdi, S. Xu, J. Andersson, J.L. Auerbach, E.J. Yacoub, E. Feinberg, D. Setsompop, K. Wald, L.L. Behrens, T.E.J. Ugurbil, K. Lenglet, C.
author_sort	Sotiropoulos, S.N.
title	Effects of image reconstruction on fiber orientation mapping from multichannel diffusion MRI: reducing the noise floor using SENSE
title_short	Effects of image reconstruction on fiber orientation mapping from multichannel diffusion MRI: reducing the noise floor using SENSE
title_full	Effects of image reconstruction on fiber orientation mapping from multichannel diffusion MRI: reducing the noise floor using SENSE
title_fullStr	Effects of image reconstruction on fiber orientation mapping from multichannel diffusion MRI: reducing the noise floor using SENSE
title_full_unstemmed	Effects of image reconstruction on fiber orientation mapping from multichannel diffusion MRI: reducing the noise floor using SENSE
title_sort	effects of image reconstruction on fiber orientation mapping from multichannel diffusion mri: reducing the noise floor using sense
publisher	Wiley
publishDate	2013
url	http://eprints.nottingham.ac.uk/52875/ http://eprints.nottingham.ac.uk/52875/ http://eprints.nottingham.ac.uk/52875/ http://eprints.nottingham.ac.uk/52875/1/nihms428785.pdf
first_indexed	2018-09-06T14:30:00Z
last_indexed	2018-09-06T14:30:00Z
_version_	1610868799197675520

Effects of image reconstruction on fiber orientation mapping from multichannel diffusion MRI: reducing the noise floor using SENSE

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