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Bénédicte Marie Maréchal

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Publications associées (66)

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A method for fast automated assessment of the magnetic resonance parkinsonism index

Bénédicte Marie Maréchal

In patients with parkinsonian syndromes, and particularly during the early stages of the clinical disease, differentiating between idiopathic Parkinson's disease and progressive supranuclear palsy is challenging. Imaging plays an important role in early di ...

SPRINGER2020

Neuroimaging Harmonization Using cGANs: Image Similarity Metrics Poorly Predict Cross-Protocol Volumetric Consistency

Jean-Philippe Thiran, Tobias Kober, Bénédicte Marie Maréchal, Veronica Lily Ravano

Computer-aided clinical decision support tools for radiology often suffer from poor generalizability in multi-centric frameworks due to data heterogeneity. In particular, magnetic resonance images depend on a large number of acquisition protocol parameters ...

Springer International Publishing Ag2022

Automatic quality assessment in structural brain magnetic resonance imaging

Jean-Philippe Thiran, Reto Meuli, Gunnar Krüger, Bénédicte Marie Maréchal

MRI has evolved into an important diagnostic technique in medical imaging. However, reliability of the derived diagnosis can be degraded by artifacts, which challenge both radiologists and automatic computer-aided diagnosis. This work proposes a fully-auto ...

Wiley2009

Predicting Modafinil-Treatment Response in Poststroke Fatigue Using Brain Morphometry and Functional Connectivity

Bénédicte Marie Maréchal

Background and Purpose- Poststroke fatigue affects a large proportion of stroke survivors and is associated with a poor quality of life. In a recent trial, modafinil was shown to be an effective agent in reducing poststroke fatigue; however, not all patien ...

LIPPINCOTT WILLIAMS & WILKINS2019

The hindbrain and cortico-reticular pathway in adolescent idiopathic scoliosis

Bénédicte Marie Maréchal

AIM: To characterise the corticoreticular pathway (CRP) in a case -control cohort of adolescent idiopathic scoliosis (AIS) patients using high -resolution slice -accelerated readoutsegmented echo -planar diffusion tensor imaging (DTI) to enhance the discri ...

W B Saunders Co Ltd2024

Test-retest variability of brain morphometry analysis: an investigation of sequence and coil effects

Tobias Kober, Bénédicte Marie Maréchal

Background: Precise and reliable brain morphometry analysis is critical for clinical and research purposes. The magnetization-prepared rapid gradient echo (MPRAGE), multi-echo MPRAGE (MEMPRAGE) and magnetization-prepared 2 rapid acquisition gradient echo ( ...

AME PUBL CO2020

Diagnostic delay of multiple sclerosis: prevalence, determinants and consequences

Tobias Kober, Bénédicte Marie Maréchal, Veronica Lily Ravano

Background: Early diagnosis and treatment of patients with multiple sclerosis (MS) are associated with better outcomes; however, diagnostic delays remain a major problem.Objective: Describe the prevalence, determinants and consequences of delayed diagnoses ...

Sage Publications Ltd2023

Improving diagnosis accuracy of brain volume abnormalities during childhood with an automated MP2RAGE-based MRI brain segmentation

Tobias Kober, Bénédicte Marie Maréchal

Background and purpose. - It can be challenging to depict brain volume abnormalities in the pediatric population on magnetic resonance imaging (MRI). The aim of the study was to evaluate the inter-radiologist reliability in brain MRI interpretation, includ ...

MASSON EDITEUR2021

Evaluating anorexia-related brain atrophy using MP2RAGE-based morphometry

Tobias Kober, Bénédicte Marie Maréchal, Alexis Roche, François Lazeyras

To evaluate brain atrophy in anorexic patients by automated cerebral segmentation with the magnetization-prepared 2 rapid acquisition gradient echo (MP2RAGE) MRI sequence. Twenty patients (female; mean age, 27.9 years), presenting consecutively for brain M ...

Springer2017

Tract-wise microstructural analysis informs on current and future disability in early multiple sclerosis

Jean-Philippe Thiran, Tobias Kober, Bénédicte Marie Maréchal, Tom Hilbert, Veronica Lily Ravano

Objectives Microstructural characterization of patients with multiple sclerosis (MS) has been shown to correlate better with disability compared to conventional radiological biomarkers. Quantitative MRI provides effective means to characterize micro ...

Springer Heidelberg2023

Automatic quality assessment in structural brain magnetic resonance imaging

Jean-Philippe Thiran, Reto Meuli, Gunnar Krüger, Bénédicte Marie Maréchal

Quality assessment of MRI is of great importance to derive reliable diagnostic information. As automated quantitative image analysis is being increasingly used in routine, automated measures of quality are needed. Based on a single magnitude image, we prop ...

2009

A Multicenter Longitudinal MRI Study Assessing LeMan-PV Software Accuracy in the Detection of White Matter Lesions in Multiple Sclerosis Patients

Tobias Kober, Meritxell Bach Cuadra, Cristina Granziera, Bénédicte Marie Maréchal, Muhamed Barakovic, Ricardo Alberto Corredor Jerez, Lester Melie Garcia

BackgroundDetecting new and enlarged lesions in multiple sclerosis (MS) patients is needed to determine their disease activity. LeMan-PV is a software embedded in the scanner reconstruction system of one vendor, which automatically assesses new and enlarge ...

WILEY2023

Volume-based vs. voxel-based brain morphometry in Alzheimer's disease prediction

Meritxell Bach Cuadra, Alessandro Daducci, Reto Meuli, Gunnar Krüger, Bénédicte Marie Maréchal, Cristina Granziera, Alexis Roche, Delphine Ribes Lemay, Daniel Andreas Schmitter

Voxel-based morphometry from conventional T1-weighted images has proved effective to quantify Alzheimer's disease (AD) related brain atrophy and to enable accurate automated classification of AD patients, mild cognitive impaired (MCI) patients and elderly ...

Proceedings of 23rd International Society for Magnetic Resonance in Medicine (ISMRM) Conference2014

Magnetization transfer-based 3D visualization of foot peripheral nerves

Cristina Granziera, Gunnar Krüger, Bénédicte Marie Maréchal, Giulio Gambarota

PURPOSE: To investigate magnetization transfer (MT) effects as a new source of contrast for imaging and tracking of peripheral foot nerves. MATERIALS AND METHODS: Two sets of 3D spoiled gradient-echo images acquired with and without a saturation pulse were ...

Wiley-Blackwell2013

Comparison of accelerated T1-weighted whole-brain structural-imaging protocols

Jean-Philippe Thiran, Reto Meuli, Tobias Kober, Bénédicte Marie Maréchal, Alexis Roche, Pavel Falkovskiy

Imaging in neuroscience, clinical research and pharmaceutical trials often employs the 3D magnetisation-prepared rapid gradient-echo (MPRAGE) sequence to obtain structural T1-weighted images with high spatial resolution of the human brain. Typical research ...

Academic Press Inc Elsevier Science2016

The complementary role of automated brain volumetry to stratify ADNI participants within the ATN framework

Alessandra Griffa, Bénédicte Marie Maréchal, Ricardo Alberto Corredor Jerez, Ilaria Ricchi

The amyloid, tau, neurodegeneration (ATN) framework provides a biological staging model of Alzheimer's disease (AD) using magnetic resonance imaging (MRI), cerebrospinal fluid (CSF), or positron emission tomography (PET) biomarkers. MRI, being non-invasive ...

SAGE Publications2025

Normative volumes and relaxation times at 3T during brain development

Tobias Kober, Bénédicte Marie Maréchal, Tom Hilbert, Ricardo Alberto Corredor Jerez, Samuele Caneschi

While research has unveiled and quantified brain markers of abnormal neurodevelopment, clinicians still work with qualitative metrics for MRI brain investigation. The purpose of the current article is to bridge the knowledge gap between case-control cohort ...

Nature Portfolio2024

Automated Quantitative Susceptibility and Morphometry MR Study: Feasibility and Interrelation Between Clinical Score, Lesion Load, Deep Grey Matter and Normal-Appearing White Matter in Multiple Sclerosis

Tobias Kober, Meritxell Bach Cuadra, Bénédicte Marie Maréchal, Tom Hilbert

Lesion load (LL), deep gray matter (DGM) and normal-appearing white matter (NAWM) susceptibility and morphometry may help in monitoring brain changes in multiple sclerosis (MS) patients. We aimed at evaluating the feasibility of a fully automated segmentat ...

2024

Deep Learning for Ischemic Penumbra Segmentation from MR Perfusion Maps: Robustness to the Deconvolution Algorithm

Tobias Kober, Bénédicte Marie Maréchal, Veronica Lily Ravano

Determining the penumbra, i.e., the at-risk but salvageable tissue, is crucial in the context of acute ischemic stroke imaging. Deep learning methods performing segmentation from perfusion parameter maps have shown promise in this regard. However, these me ...

Springer Nature (Switzerland)2024

Differentiating Parkinson's disease motor subtypes using automated volume-based morphometry incorporating white matter and deep gray nuclear lesion load

Bénédicte Marie Maréchal

Background Periventricular leukoaraiosis may be an important pathological change in postural instability gait disorder (PIGD), a motor subtype of Parkinson's disease (PD). Clinical diagnosis of PIGD may be challenging for the general neurologist. Purpose T ...

2020