Cargando…

Motion‐corrected MRI with DISORDER: Distributed and incoherent sample orders for reconstruction deblurring using encoding redundancy

PURPOSE: To enable rigid body motion‐tolerant parallel volumetric magnetic resonance imaging by retrospective head motion correction on a variety of spatiotemporal scales and imaging sequences. THEORY AND METHODS: Tolerance against rigid body motion is based on distributed and incoherent sampling or...

Descripción completa

Detalles Bibliográficos
Autores principales: Cordero‐Grande, Lucilio, Ferrazzi, Giulio, Teixeira, Rui Pedro A. G., O'Muircheartaigh, Jonathan, Price, Anthony N., Hajnal, Joseph V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7392051/
https://www.ncbi.nlm.nih.gov/pubmed/31898832
http://dx.doi.org/10.1002/mrm.28157
_version_ 1783564773796872192
author Cordero‐Grande, Lucilio
Ferrazzi, Giulio
Teixeira, Rui Pedro A. G.
O'Muircheartaigh, Jonathan
Price, Anthony N.
Hajnal, Joseph V.
author_facet Cordero‐Grande, Lucilio
Ferrazzi, Giulio
Teixeira, Rui Pedro A. G.
O'Muircheartaigh, Jonathan
Price, Anthony N.
Hajnal, Joseph V.
author_sort Cordero‐Grande, Lucilio
collection PubMed
description PURPOSE: To enable rigid body motion‐tolerant parallel volumetric magnetic resonance imaging by retrospective head motion correction on a variety of spatiotemporal scales and imaging sequences. THEORY AND METHODS: Tolerance against rigid body motion is based on distributed and incoherent sampling orders for boosting a joint retrospective motion estimation and reconstruction framework. Motion resilience stems from the encoding redundancy in the data, as generally provided by the coil array. Hence, it does not require external sensors, navigators or training data, so the methodology is readily applicable to sequences using 3D encodings. RESULTS: Simulations are performed showing full inter‐shot corrections for usual levels of in vivo motion, large number of shots, standard levels of noise and moderate acceleration factors. Feasibility of inter‐ and intra‐shot corrections is shown under controlled motion in vivo. Practical efficacy is illustrated by high‐quality results in most corrupted of 208 volumes from a series of 26 clinical pediatric examinations collected using standard protocols. CONCLUSIONS: The proposed framework addresses the rigid motion problem in volumetric anatomical brain scans with sufficient encoding redundancy which has enabled reliable pediatric examinations without sedation.
format Online
Article
Text
id pubmed-7392051
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-73920512020-08-04 Motion‐corrected MRI with DISORDER: Distributed and incoherent sample orders for reconstruction deblurring using encoding redundancy Cordero‐Grande, Lucilio Ferrazzi, Giulio Teixeira, Rui Pedro A. G. O'Muircheartaigh, Jonathan Price, Anthony N. Hajnal, Joseph V. Magn Reson Med Full Papers—Imaging Methodology PURPOSE: To enable rigid body motion‐tolerant parallel volumetric magnetic resonance imaging by retrospective head motion correction on a variety of spatiotemporal scales and imaging sequences. THEORY AND METHODS: Tolerance against rigid body motion is based on distributed and incoherent sampling orders for boosting a joint retrospective motion estimation and reconstruction framework. Motion resilience stems from the encoding redundancy in the data, as generally provided by the coil array. Hence, it does not require external sensors, navigators or training data, so the methodology is readily applicable to sequences using 3D encodings. RESULTS: Simulations are performed showing full inter‐shot corrections for usual levels of in vivo motion, large number of shots, standard levels of noise and moderate acceleration factors. Feasibility of inter‐ and intra‐shot corrections is shown under controlled motion in vivo. Practical efficacy is illustrated by high‐quality results in most corrupted of 208 volumes from a series of 26 clinical pediatric examinations collected using standard protocols. CONCLUSIONS: The proposed framework addresses the rigid motion problem in volumetric anatomical brain scans with sufficient encoding redundancy which has enabled reliable pediatric examinations without sedation. John Wiley and Sons Inc. 2020-01-03 2020-08 /pmc/articles/PMC7392051/ /pubmed/31898832 http://dx.doi.org/10.1002/mrm.28157 Text en © 2020 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Full Papers—Imaging Methodology
Cordero‐Grande, Lucilio
Ferrazzi, Giulio
Teixeira, Rui Pedro A. G.
O'Muircheartaigh, Jonathan
Price, Anthony N.
Hajnal, Joseph V.
Motion‐corrected MRI with DISORDER: Distributed and incoherent sample orders for reconstruction deblurring using encoding redundancy
title Motion‐corrected MRI with DISORDER: Distributed and incoherent sample orders for reconstruction deblurring using encoding redundancy
title_full Motion‐corrected MRI with DISORDER: Distributed and incoherent sample orders for reconstruction deblurring using encoding redundancy
title_fullStr Motion‐corrected MRI with DISORDER: Distributed and incoherent sample orders for reconstruction deblurring using encoding redundancy
title_full_unstemmed Motion‐corrected MRI with DISORDER: Distributed and incoherent sample orders for reconstruction deblurring using encoding redundancy
title_short Motion‐corrected MRI with DISORDER: Distributed and incoherent sample orders for reconstruction deblurring using encoding redundancy
title_sort motion‐corrected mri with disorder: distributed and incoherent sample orders for reconstruction deblurring using encoding redundancy
topic Full Papers—Imaging Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7392051/
https://www.ncbi.nlm.nih.gov/pubmed/31898832
http://dx.doi.org/10.1002/mrm.28157
work_keys_str_mv AT corderograndelucilio motioncorrectedmriwithdisorderdistributedandincoherentsampleordersforreconstructiondeblurringusingencodingredundancy
AT ferrazzigiulio motioncorrectedmriwithdisorderdistributedandincoherentsampleordersforreconstructiondeblurringusingencodingredundancy
AT teixeiraruipedroag motioncorrectedmriwithdisorderdistributedandincoherentsampleordersforreconstructiondeblurringusingencodingredundancy
AT omuircheartaighjonathan motioncorrectedmriwithdisorderdistributedandincoherentsampleordersforreconstructiondeblurringusingencodingredundancy
AT priceanthonyn motioncorrectedmriwithdisorderdistributedandincoherentsampleordersforreconstructiondeblurringusingencodingredundancy
AT hajnaljosephv motioncorrectedmriwithdisorderdistributedandincoherentsampleordersforreconstructiondeblurringusingencodingredundancy