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 …

Iron, myelin, and the brain: neuroimaging meets neurobiology

HE Möller, L Bossoni, JR Connor, RR Crichton… - Trends in …, 2019 - cell.com
Although iron is crucial for neuronal functioning, many aspects of cerebral iron biology await
clarification. The ability to quantify specific iron forms in the living brain would open new …

Recommended implementation of quantitative susceptibility map** for clinical research in the brain: a consensus of the ISMRM electro‐magnetic tissue properties …

QSM Consensus Organization … - Magnetic resonance …, 2024 - Wiley Online Library
This article provides recommendations for implementing QSM for clinical brain research. It is
a consensus of the International Society of Magnetic Resonance in Medicine, Electro …

Quantitative susceptibility map** using deep neural network: QSMnet

J Yoon, E Gong, I Chatnuntawech, B Bilgic, J Lee… - Neuroimage, 2018 - Elsevier
Deep neural networks have demonstrated promising potential for the field of medical image
reconstruction, successfully generating high quality images for CT, PET and MRI. In this …

The influence of brain iron and myelin on magnetic susceptibility and effective transverse relaxation-A biochemical and histological validation study

S Hametner, V Endmayr, A Deistung, P Palmrich… - Neuroimage, 2018 - Elsevier
Quantitative susceptibility map** (QSM) and effective transverse relaxation rate (R2*)
map** are both highly sensitive to variations in brain iron content. Clinical Magnetic …

[HTML][HTML] Neuroimaging of Parkinson's disease by quantitative susceptibility map**

X Guan, M Lancione, S Ayton, P Dusek… - NeuroImage, 2024 - Elsevier
Parkinson's disease (PD) is a common neurodegenerative disease, and apart from a few
rare genetic causes, its pathogenesis remains largely unclear. Recent scientific interest has …

Deep-learning-based reconstruction of undersampled MRI to reduce scan times: a multicentre, retrospective, cohort study

A Rastogi, G Brugnara, M Foltyn-Dumitru… - The Lancet …, 2024 - thelancet.com
Background The extended acquisition times required for MRI limit its availability in resource-
constrained settings. Consequently, accelerating MRI by undersampling k-space data …

DeepQSM-using deep learning to solve the dipole inversion for quantitative susceptibility map**

S Bollmann, KGB Rasmussen, M Kristensen… - Neuroimage, 2019 - Elsevier
Quantitative susceptibility map** (QSM) is based on magnetic resonance imaging (MRI)
phase measurements and has gained broad interest because it yields relevant information …

Identification of chronic active multiple sclerosis lesions on 3T MRI

M Absinta, P Sati, A Fechner, MK Schindler… - American Journal of …, 2018 - ajnr.org
BACKGROUND AND PURPOSE: MR imaging–pathologic studies have reported that
paramagnetic rims on 7T susceptibility-based MR imaging identify, in vivo, the subset of MS …

Overview of quantitative susceptibility map** using deep learning: Current status, challenges and opportunities

W Jung, S Bollmann, J Lee - NMR in Biomedicine, 2022 - Wiley Online Library
Quantitative susceptibility map** (QSM) has gained broad interest in the field by extracting
bulk tissue magnetic susceptibility, predominantly determined by myelin, iron and calcium …