Publication

RimNet: A deep 3D multimodal MRI architecture for paramagnetic rim lesion assessment in multiple sclerosis

Related publications (47)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

, , , , , ,

We explored the sensitivity of a novel diffusion MRI method i.e. “Neurite orientation dispersion and density imaging”, to detect and characterize brain microstructure alterations in relapsing-remitting multiple sclerosis patients that we followed up over 2 ...

2017

Fast and Robust Segmentation of the Striatum Using Deep Convolutional Neural Networks

Kyong Hwan Jin

Background: Automated segmentation of brain structures is an important task in structural and functional image analysis. We developed a fast and accurate method for the striatum segmentation using deep convolutional neural networks (CNN). New method: T1 ma ...

Elsevier2016

Single-Shot Imaging with Higher-Dimensional Encoding Using Magnetic Field Monitoring and Concomitant Field Correction

Daniel Gallichan

PurposePatLoc (Parallel Imaging Technique using Localized Gradients) accelerates imaging and introduces a resolution variation across the field-of-view. Higher-dimensional encoding employs more spatial encoding magnetic fields (SEMs) than the corresponding ...

Wiley-Blackwell2015

B1+-mapping and B1+ inhomogeneity correction at high field

Florent Eggenschwiler

Magnetic resonance images acquired at the highest strength of the main magnetic field B0 are of interest since they highly benefit from an increased signal to noise ratio. At ultra high field strengths (B0 > 7 Tesla) images with more contrast and higher re ...

EPFL2015

Metal Complexes as MRI Contrast Enhancement Agents

André Merbach, Lothar Helm, Eva Jakab Toth

Magnetic resonance imaging is one of the most efficient diagnostic modalities in clinical radiology and biomedical research. To enhance image contrast, paramagnetic complexes, mainly Gd3+ chelates, are used. Today, around one third of all medical MR images ...

Elsevier2015

, , , ,

Purpose: Proper delineation of ocular anatomy in 3-dimensional (3D) imaging is a big challenge, particularly when developing treatment plans for ocular diseases. Magnetic resonance imaging (MRI) is presently used in clinical practice for diagnosis confirma ...

Elsevier Science Inc2015

Low-Cost High-Performance MRI

Najat Salameh

Magnetic Resonance Imaging (MRI) is unparalleled in its ability to visualize anatomical structure and function non-invasively with high spatial and temporal resolution. Yet to overcome the low sensitivity inherent in inductive detection of weakly polarized ...

Nature Publishing Group2015

, , , , , , ,

Introduction. Local microstructural pathology in multiple sclerosis patients might influence their clinical performance. This study applied multicontrast MRI to quantify inflammation and neurodegeneration in MS lesions. We explored the impact of MRI-based ...

Hindawi Publishing Corporation2015

Advanced MRI unravels the nature of tissue alterations in early multiple sclerosis

Jean-Philippe Thiran, David Paul Roger Romascano, Cristina Granziera, Djalel Eddine Meskaldji, Alexis Roche, Guillaume Bonnier, Ying-Chia Lin, Gloria Menegaz

In patients with multiple sclerosis (MS), conventional magnetic resonance imaging (MRI) provides only limited insights into the nature of brain damage with modest clinic-radiological correlation. In this study, we applied recent advances in MRI techniques ...

2014

Cerebellar Connectomics Provide New Biomarkers in Early Multiple Sclerosis

Jean-Philippe Thiran, Dimitri Nestor Alice Van De Ville, David Paul Roger Romascano, Alessandro Daducci, Cristina Granziera, Djalel Eddine Meskaldji, Jonas Richiardi, Alexis Roche, Guillaume Bonnier, Ying-Chia Lin, Gloria Menegaz

The cerebellum is involved in multiple sclerosis (MS), but its implication in early phases is still poorly understood. We investigated structural and functional cerebellar connectivity alterations in early and minimally impaired MS patients, and their corr ...

2014