Quantitative magnetic resonance imaging towards clinical application in multiple sclerosis

C Granziera, J Wuerfel, F Barkhof, M Calabrese… - Brain, 2021 - academic.oup.com
Quantitative MRI provides biophysical measures of the microstructural integrity of the CNS,
which can be compared across CNS regions, patients, and centres. In patients with multiple …

[HTML][HTML] An atlas for human brain myelin content throughout the adult life span

AV Dvorak, T Swift-LaPointe, IM Vavasour, LE Lee… - Scientific reports, 2021 - nature.com
Myelin water imaging is a quantitative neuroimaging technique that provides the myelin
water fraction (MWF), a metric highly specific to myelin content, and the intra-/extra-cellular …

[HTML][HTML] Periventricular gradient of T1 tissue alterations in multiple sclerosis

M Vaneckova, GF Piredda, M Andelova, J Krasensky… - NeuroImage: Clinical, 2022 - Elsevier
Objective Pathology in multiple sclerosis is not homogenously distributed. Recently, it has
been shown that structures adjacent to CSF are more severely affected. A gradient of brain …

Combining magnetic resonance fingerprinting with voxel‐based morphometric analysis to reduce false positives for focal cortical dysplasia detection

Z Ding, S Hu, TY Su, JY Choi, S Morris, X Wang… - …, 2024 - Wiley Online Library
Objective We aim to improve focal cortical dysplasia (FCD) detection by combining high‐
resolution, three‐dimensional (3D) magnetic resonance fingerprinting (MRF) with voxel …

Fast and accurate modeling of transient‐state, gradient‐spoiled sequences by recurrent neural networks

H Liu, O van der Heide, CAT van den Berg… - NMR in …, 2021 - Wiley Online Library
Fast and accurate modeling of MR signal responses are typically required for various
quantitative MRI applications, such as MR fingerprinting. This work uses a new extended …

Psychophysical Evaluation of Visual vs. Computer‐Aided Detection of Brain Lesions on Magnetic Resonance Images

C Solomon, O Shmueli, S Shrot… - Journal of Magnetic …, 2023 - Wiley Online Library
Background Magnetic resonance imaging (MRI) diagnosis is usually performed by
analyzing contrast‐weighted images, where pathology is detected once it reached a certain …

Multiparametric Characterization of Focal Cortical Dysplasia Using 3D MR Fingerprinting

TY Su, JY Choi, S Hu, X Wang, I Blümcke… - Annals of …, 2024 - Wiley Online Library
Objectives To develop a multiparametric machine‐learning (ML) framework using high‐
resolution 3 dimensional (3D) magnetic resonance (MR) fingerprinting (MRF) data for …

[HTML][HTML] Personalized maps of T1 relaxometry abnormalities provide correlates of disability in multiple sclerosis patients

X Chen, S Schädelin, PJ Lu, M Ocampo-Pineda… - NeuroImage: Clinical, 2023 - Elsevier
Objectives and aims Quantitative MRI (qMRI) has greatly improved the sensitivity and
specificity of microstructural brain pathology in multiple sclerosis (MS) when compared to …

Submillimeter T1 atlas for subject‐specific abnormality detection at 7T

GF Piredda, S Caneschi, T Hilbert… - Magnetic resonance …, 2023 - Wiley Online Library
Purpose Studies at 3T have shown that T1 relaxometry enables characterization of brain
tissues at the single‐subject level by comparing individual physical properties to a normative …

Compressed sensing (CS) MP2RAGE versus standard MPRAGE: A comparison of derived brain volume measurements

PM Ferraro, L Gualco, M Costagli, S Schiavi… - Physica Medica, 2022 - Elsevier
Abstract Purpose T1 Magnetization Prepared Two Rapid Acquisition Gradient Echo
(MP2RAGE) with compress sensing (CS) has been proposed as an improvement of the …