activity
20172021
collaborators

5 papers

eess.IV2021

Accelerating Quantitative Susceptibility Mapping using Compressed Sensing and Deep Neural Network

Yang Gao, Martijn Cloos, Feng Liu +3

Quantitative susceptibility mapping (QSM) is an MRI phase-based post-processing method that quantifies tissue magnetic susceptibility distributions. However, QSM acquisitions are r…

physics.med-ph2019

Fingerprinting Orientation Distribution Functions in Diffusion MRI detects smaller crossing angles

Steven H. Baete, Martijn A. Cloos, Ying-Chia Lin +3

Diffusion tractography is routinely used to study white matter architecture and brain connectivity in vivo. A key step for successful tractography of neuronal tracts is the correct…

physics.med-ph2018

Hybrid-State Free Precession in Nuclear Magnetic Resonance

Jakob Assländer, Dmitry S. Novikov, Riccardo Lattanzi +2

The dynamics of large spin-1/2 ensembles in the presence of a varying magnetic field are commonly described by the Bloch equation. Most magnetic field variations result in unintuit…

physics.med-ph2018

Multicompartment Magnetic Resonance Fingerprinting

Sunli Tang, Carlos Fernandez-Granda, Sylvain Lannuzel +5

Magnetic resonance fingerprinting (MRF) is a technique for quantitative estimation of spin-relaxation parameters from magnetic-resonance data. Most current MRF approaches assume th…

physics.app-ph2017

Fast quantitative MRI as a nonlinear tomography problem

Alessandro Sbrizzi, Oscar van der Heide, Martijn Cloos +4

Quantitative Magnetic Resonance Imaging (MRI) is based on a two-steps approach: estimation of the magnetic moments distribution inside the body, followed by a voxel-by-voxel quanti…