Search Results - "Piredda, Gian Franco"
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Probing myelin content of the human brain with MRI: A review
Published in Magnetic resonance in medicine (01-02-2021)“…Rapid and efficient transmission of electric signals among neurons of vertebrates is ensured by myelin‐insulating sheaths surrounding axons. Human cognition,…”
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Comparison of non-parametric T 2 relaxometry methods for myelin water quantification
Published in Medical image analysis (01-04-2021)“…Multi-component T relaxometry allows probing tissue microstructure by assessing compartment-specific T relaxation times and water fractions, including the…”
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3
Model‐based super‐resolution reconstruction of T2 maps
Published in Magnetic resonance in medicine (01-03-2020)“…Purpose High‐resolution isotropic T2 mapping of the human brain with multi‐echo spin‐echo (MESE) acquisitions is challenging. When using a 2D sequence, the…”
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Fast and high‐resolution myelin water imaging: Accelerating multi‐echo GRASE with CAIPIRINHA
Published in Magnetic resonance in medicine (01-01-2021)“…Purpose Although several MRI methods have been explored to achieve in vivo myelin quantification, imaging the whole brain in clinically acceptable times and…”
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Revisiting the T2 spectrum imaging inverse problem: Bayesian regularized non-negative least squares
Published in NeuroImage (Orlando, Fla.) (01-12-2021)“…Multi-echo T2 magnetic resonance images contain information about the distribution of T2 relaxation times of compartmentalized water, from which we can…”
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Quantitative brain relaxation atlases for personalized detection and characterization of brain pathology
Published in Magnetic resonance in medicine (01-01-2020)“…Purpose To exploit the improved comparability and hardware independency of quantitative MRI, databases of MR physical parameters in healthy tissue are…”
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Data‐driven myelin water imaging based on T1 and T2 relaxometry
Published in NMR in biomedicine (01-07-2022)“…Long acquisition times preclude the application of multiecho spin echo (MESE) sequences for myelin water fraction (MWF) mapping in daily clinical practice. In…”
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Submillimeter T1 atlas for subject‐specific abnormality detection at 7T
Published in Magnetic resonance in medicine (01-04-2023)“…Purpose Studies at 3T have shown that T1 relaxometry enables characterization of brain tissues at the single‐subject level by comparing individual physical…”
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Evaluating reproducibility and subject-specificity of microstructure-informed connectivity
Published in NeuroImage (Orlando, Fla.) (01-09-2022)“…Tractography enables identifying and evaluating the healthy and diseased brain's white matter pathways from diffusion-weighted magnetic resonance imaging data…”
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Periventricular gradient of T1 tissue alterations in multiple sclerosis
Published in NeuroImage clinical (01-01-2022)“…[Display omitted] •T1 relaxation times alterations were assessed based on a study-specific atlas.•T1 alterations depend on distance from lateral ventricles…”
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Normative volumes and relaxation times at 3T during brain development
Published in Scientific data (25-04-2024)“…While research has unveiled and quantified brain markers of abnormal neurodevelopment, clinicians still work with qualitative metrics for MRI brain…”
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High-Resolution Magnetic Resonance Neurography at 7T: A Pilot Study of Hand Innervation
Published in Diagnostics (Basel) (01-06-2024)“…The emergence of 7T clinical MRI technology has sparked our interest in its ability to discern the complex structures of the hand. Our primary objective was to…”
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Variability and reproducibility of multi-echo T2 relaxometry: Insights from multi-site, multi-session and multi-subject MRI acquisitions
Published in Frontiers in radiology (28-07-2022)“…Quantitative magnetic resonance imaging (qMRI) can increase the specificity and sensitivity of conventional weighted MRI to underlying pathology by comparing…”
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Validation and Generalizability of Self-Supervised Image Reconstruction Methods for Undersampled MRI
Published 12-09-2022“…Machine.Learning.for.Biomedical.Imaging. 1 (2022) Deep learning methods have become the state of the art for undersampled MR reconstruction. Particularly for…”
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15
Multiparametric Characterization and Spatial Distribution of Different MS Lesion Phenotypes
Published in American journal of neuroradiology : AJNR (09-08-2024)“…MS lesions exhibit varying degrees of axonal and myelin damage. A comprehensive description of lesion phenotypes could contribute to an improved radiologic…”
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Model-informed machine learning for multi-component T2 relaxometry
Published in Medical image analysis (01-04-2021)“…•Recovering T2 distributions from MRI data is difficult, especially due to noise.•Noise robust recovery possible through machine learning on synthetic…”
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Model-informed machine learning for multi-component T 2 relaxometry
Published in Medical image analysis (01-04-2021)“…Recovering the T distribution from multi-echo T magnetic resonance (MR) signals is challenging but has high potential as it provides biomarkers characterizing…”
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18
Comparison of non-parametric T2 relaxometry methods for myelin water quantification
Published in Medical image analysis (01-04-2021)“…•A comparison between ten methods for computing the T2 distribution was performed.•Various regularization techniques and penalty functions were tested.•Our…”
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19
Microstructural characterization of multiple sclerosis lesion phenotypes using multiparametric longitudinal analysis
Published in Journal of neurology (01-09-2024)“…Background and objectives In multiple sclerosis (MS), slowly expanding lesions were shown to be associated with worse disability and prognosis. Their timely…”
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Revisiting the T 2 spectrum imaging inverse problem: Bayesian regularized non-negative least squares
Published in NeuroImage (Orlando, Fla.) (01-12-2021)“…Multi-echo T magnetic resonance images contain information about the distribution of T relaxation times of compartmentalized water, from which we can estimate…”
Get full text
Journal Article