A unified model for reconstruction and R

Adult Humans Image Processing, Computer-Assisted / methods Cohort Studies Magnetic Resonance Imaging / methods Brain / diagnostic imaging
mapping Deep learning Image reconstruction Magnetic resonance imaging Quantitative MRI Subcortex

Journal

NeuroImage
ISSN: 1095-9572
Titre abrégé: Neuroimage
Pays: United States
ID NLM: 9215515

Informations de publication

Date de publication:
01 12 2022
Historique:
received: 30 03 2022
revised: 16 09 2022
accepted: 10 10 2022
pubmed: 15 10 2022
medline: 15 12 2022
entrez: 14 10 2022
Statut: ppublish

Résumé

Quantitative MRI (qMRI) acquired at the ultra-high field of 7 Tesla has been used in visualizing and analyzing subcortical structures. qMRI relies on the acquisition of multiple images with different scan settings, leading to extended scanning times. Data redundancy and prior information from the relaxometry model can be exploited by deep learning to accelerate the imaging process. We propose the quantitative Recurrent Inference Machine (qRIM), with a unified forward model for joint reconstruction and R

Identifiants

DOI: 10.1016/j.neuroimage.2022.119680 PMID: 36240989
pubmed: 36240989
pii: S1053-8119(22)00801-1
doi: 10.1016/j.neuroimage.2022.119680
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

119680

Informations de copyright

Copyright © 2022 The Authors. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest M.W.A. Caan is shareholder of Nico-lab International Ltd.

Auteurs

Chaoping Zhang (C)

Amsterdam UMC location University of Amsterdam, Biomedical Engineering and Physics, Meibergdreef 9, Amsterdam, the Netherlands; Amsterdam Neuroscience, Brain Imaging, Amsterdam, the Netherlands; Netherlands Cancer Institute, Amsterdam, the Netherlands. Electronic address: c.zhang@nki.nl.

Dimitrios Karkalousos (D)

Amsterdam UMC location University of Amsterdam, Biomedical Engineering and Physics, Meibergdreef 9, Amsterdam, the Netherlands; Amsterdam Neuroscience, Brain Imaging, Amsterdam, the Netherlands. Electronic address: d.karkalousos@amsterdamumc.nl.

Pierre-Louis Bazin (PL)

Integrative Model-based Cognitive Neuroscience Research unit, University of Amsterdam, Amsterdam, the Netherlands; Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany. Electronic address: pilou.bazin@uva.nl.

Bram F Coolen (BF)

Amsterdam UMC location University of Amsterdam, Biomedical Engineering and Physics, Meibergdreef 9, Amsterdam, the Netherlands. Electronic address: b.f.coolen@amsterdamumc.nl.

Hugo Vrenken (H)

Amsterdam Neuroscience, Brain Imaging, Amsterdam, the Netherlands; Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Radiology, De Boelelaan 1117, Amsterdam, the Netherlands. Electronic address: h.vrenken@amsterdamumc.nl.

Jan-Jakob Sonke (JJ)

Netherlands Cancer Institute, Amsterdam, the Netherlands. Electronic address: j.sonke@nki.nl.

Birte U Forstmann (BU)

Integrative Model-based Cognitive Neuroscience Research unit, University of Amsterdam, Amsterdam, the Netherlands. Electronic address: B.U.Forstmann@uva.nl.

Dirk H J Poot (DHJ)

Biomedical Imaging Group Rotterdam, Department of Radiology & Nuclear Medicine, Erasmus MC, Rotterdam, the Netherlands. Electronic address: d.poot@erasmusmc.nl.

Matthan W A Caan (MWA)

Amsterdam UMC location University of Amsterdam, Biomedical Engineering and Physics, Meibergdreef 9, Amsterdam, the Netherlands; Amsterdam Neuroscience, Brain Imaging, Amsterdam, the Netherlands; Computational Radiology and Artificial Intelligence, Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway. Electronic address: m.w.a.caan@amsterdamumc.nl.

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Classifications MeSH

questionsmedicales.fr › Personnes › Tranches d'âge › Adulte › A unified model for reconstruction and R
questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › A unified model for reconstruction and R
questionsmedicales.fr › Sciences de l'information › Méthodologies informatiques › Traitement d'image par ordinateur › A unified model for reconstruction and R
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Caractéristiques des études épidémiologiques › Études épidémiologiques › Études de cohortes › A unified model for reconstruction and R
questionsmedicales.fr › Diagnostic › Techniques et procédures diagnostiques › Imagerie diagnostique › Tomographie › Imagerie par résonance magnétique › A unified model for reconstruction and R
questionsmedicales.fr › Système nerveux › Système nerveux central › Encéphale › A unified model for reconstruction and R