A simplified framework to optimize MRI contrast preparation
Autor: | Olivier Beuf, Steffen J. Glaser, Dominique Sugny, Michael Tesch, Kevin Tse Ve Koon, Hélène Ratiney, Eric Van Reeth, Denis Grenier |
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Přispěvatelé: | RMN et optique : De la mesure au biomarqueur, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Department of Chemistry [Munich], Technische Universität Munchen - Université Technique de Munich [Munich, Allemagne] (TUM), Plateforme d'Imagerie Multimodale LyonTech (PILoT), Laboratoire Interdisciplinaire Carnot de Bourgogne (LICB), Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM) |
Rok vydání: | 2018 |
Předmět: |
Aging
Multiple Sclerosis [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging Computer science Computation Contrast Media Context (language use) Hippocampus Corpus Callosum 030218 nuclear medicine & medical imaging Reduction (complexity) Magnetics 03 medical and health sciences 0302 clinical medicine Thalamus Alzheimer Disease [INFO.INFO-IM]Computer Science [cs]/Medical Imaging Animals Humans Computer Simulation Radiology Nuclear Medicine and imaging Point (geometry) Gray Matter ComputingMilieux_MISCELLANEOUS Block (data storage) Flexibility (engineering) Phantoms Imaging Brain Contrast (statistics) Models Theoretical Optimal control Magnetic Resonance Imaging Rats Female Algorithm Algorithms 030217 neurology & neurosurgery |
Zdroj: | Magnetic Resonance in Medicine Magnetic Resonance in Medicine, Wiley, 2018, ⟨10.1002/mrm.27417⟩ |
ISSN: | 0740-3194 1522-2594 |
DOI: | 10.1002/mrm.27417 |
Popis: | PURPOSE This article proposes a rigorous optimal control framework for the design of preparation schemes that optimize MRI contrast based on relaxation time differences. METHODS Compared to previous optimal contrast preparation schemes, a drastic reduction of the optimization parameter number is performed. The preparation scheme is defined as a combination of several block pulses whose flip angles, phase terms and inter-pulse delays are optimized to control the magnetization evolution. RESULTS The proposed approach reduces the computation time of B 0 -robust preparation schemes to around a minute (whereas several hours were required with previous schemes), with negligible performance loss. The chosen parameterization allows to formulate the total preparation duration as a constraint, which improves the overall compromise between contrast performance and preparation time. Simulation, in vitro and in vivo results validate this improvement, illustrate the straightforward applicability of the proposed approach, and point out its flexibility in terms of achievable contrasts. Major improvement is especially achieved for short-T2 enhancement, as shown by the acquisition of a non-trivial contrast on a rat brain, where a short-T2 white matter structure (corpus callosum) is enhanced compared to surrounding gray matter tissues (hippocampus and neocortex). CONCLUSIONS This approach proposes key advances for the design of optimal contrast preparation sequences, that emphasize their ability to generate non-standard contrasts, their potential benefit in a clinical context, and their straightforward applicability on any MR system. |
Databáze: | OpenAIRE |
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