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

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

The emerging role of artificial intelligence in multiple sclerosis imaging

HMR Afzal, S Luo, S Ramadan… - Multiple Sclerosis …, 2022 - journals.sagepub.com
Background: Computer-aided diagnosis can facilitate the early detection and diagnosis of
multiple sclerosis (MS) thus enabling earlier interventions and a reduction in long-term MS …

Quantitative susceptibility mapping: technical considerations and clinical applications in neuroimaging

S Vinayagamani, R Sheelakumari… - Journal of Magnetic …, 2021 - Wiley Online Library
Quantitative susceptibility mapping (QSM) is a novel magnetic resonance imaging (MRI)
technique for quantifying the spatial distribution of magnetic susceptibility within an object or …

Quantitative susceptibility mapping of time-dependent susceptibility changes in multiple sclerosis lesions

S Zhang, TD Nguyen, SMH Rúa… - American Journal …, 2019 - Am Soc Neuroradiology
BACKGROUND AND PURPOSE: MR imaging studies have demonstrated that magnetic
susceptibility in multiple sclerosis lesions is dependent on lesion age. The objective of this …

Heterogeneity of multiple sclerosis lesions in fast diffusional kurtosis imaging

C Thaler, AA Kyselyova, TD Faizy, MT Nawka… - PLoS …, 2021 - journals.plos.org
Background Mean kurtosis (MK), one of the parameters derived from diffusion kurtosis
imaging (DKI), has shown increased sensitivity to tissue microstructure damage in several …

Clinical integration of automated processing for brain quantitative susceptibility mapping: multi‐site reproducibility and single‐site robustness

P Spincemaille, Z Liu, S Zhang… - Journal of …, 2019 - Wiley Online Library
ABSTRACT BACKGROUND AND PURPOSE Quantitative susceptibility mapping (QSM) of
the brain has become highly reproducible and has applications in an expanding array of …

Evaluation of the statistical detection of change algorithm for screening patients with MS with new lesion activity on longitudinal brain MRI

M Homssi, EM Sweeney, E Demmon… - American Journal …, 2023 - Am Soc Neuroradiology
BACKGROUND AND PURPOSE: Identification of new MS lesions on longitudinal MR
imaging by human readers is time-consuming and prone to error. Our objective was to …

Subsecond accurate myelin water fraction reconstruction from FAST‐T2 data with 3D UNET

J Kim, TD Nguyen, J Zhang, SA Gauthier… - Magnetic …, 2022 - Wiley Online Library
Purpose To develop a 3D UNET convolutional neural network for rapid extraction of myelin
water fraction (MWF) maps from six‐echo fast acquisition with spiral trajectory and T2‐prep …

[HTML][HTML] Estimation of multiple sclerosis lesion age on magnetic resonance imaging

EM Sweeney, TD Nguyen, A Kuceyeski, SM Ryan… - Neuroimage, 2021 - Elsevier
We introduce the first-ever statistical framework for estimating the age of Multiple Sclerosis
(MS) lesions from magnetic resonance imaging (MRI). Estimating lesion age is an important …

Identification of patients with relapsing multiple sclerosis eligible for high-efficacy therapies

J Meca-Lallana, JA García-Merino… - Neurodegenerative …, 2021 - Taylor & Francis
Relapsing multiple sclerosis (RMS) presents a highly variable clinical evolution among
patients, and its management should be personalized. Although there is no cure at present …