The Compressed Sensing MP2RAGE as a Surrogate to the MPRAGE for Neuroimaging at 3 T-Reference-Cited by-同舟云学术

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The Compressed Sensing MP2RAGE as a Surrogate to the MPRAGE for Neuroimaging at 3 T

Published:2022-01-14 Issue:6 Volume:57 Page:366-378
ISSN:1536-0210
Container-title:Investigative Radiology
language:en
Short-container-title:Invest Radiol

Author:

Trotier Aurélien J.,Dilharreguy Bixente,Anandra Serge,Corbin Nadège,Lefrançois William,Ozenne Valery,Miraux Sylvain,Ribot Emeline J.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Reference52 articles.

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2. Variability and standardization of quantitative imaging: monoparametric to multiparametric quantification, radiomics, and artificial intelligence;Invest Radiol,2020

3. Widespread age-related differences in the human brain microstructure revealed by quantitative magnetic resonance imaging;Neurobiol Aging,2014

4. Role of T1 mapping to evaluate brain aging in a healthy population;Clin Imaging,2020

5. Age-related changes in relaxation times, proton density, myelin, and tissue volumes in adult brain analyzed by 2-dimensional quantitative synthetic magnetic resonance imaging;Invest Radiol,2021

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1. Quantitative T1 and Effective Proton Density (PD*) mapping in children and adults at 7T from an MP2RAGE sequence optimised for uniform T1-weighted (UNI) and FLuid And White matter Suppression (FLAWS) contrasts;2024-07-01

2. Accelerated 3D multi‐echo spin‐echo sequence with a subspace constrained reconstruction for whole mouse brain T2 mapping;Magnetic Resonance in Medicine;2024-05-09

3. Visualizing the Habenula Using 3T High-Resolution MP2RAGE and QSM: A Preliminary Study;American Journal of Neuroradiology;2024-03-07

4. Pushing MP2RAGE boundaries: Ultimate time‐efficient parameterization combined with exhaustive T₁ synthetic contrasts;Magnetic Resonance in Medicine;2023-12-15

5. Corpus callosum in children with neurodevelopmental delay: MRI standard qualitative assessment versus automatic quantitative analysis;European Radiology Experimental;2023-10-13

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